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One way to test whether gene expression differences between species accumulate at a rate consistent with neutral expectation is to compare them to the expression differences observed for a class of genes that can reasonably be expected to not be the direct targets of positive or negative selection. Since expressed pseu...
15138501_p9
15138501
A Test for Neutrality
4.184958
biomedical
Study
[ 0.9994101524353027, 0.00025427876971662045, 0.00033564926707185805 ]
[ 0.9969543218612671, 0.0018322085961699486, 0.0011220502201467752, 0.00009141963528236374 ]
en
0.999998
To test this, we considered the expression patterns in four regions of the brain in three humans and three chimpanzees using the Affymetrix U95 array set interrogating approximately 40,000 genes (Philipp Khaitovich, unpublished data). In order to identify all probe sets on these arrays that interrogate expressed pseudo...
15138501_p10
15138501
A Test for Neutrality
4.17389
biomedical
Study
[ 0.9994497895240784, 0.00029203452868387103, 0.000258219224633649 ]
[ 0.9994819760322571, 0.000206221011467278, 0.0002442511613480747, 0.00006759718235116452 ]
en
0.999998
We compared the distributions of the squared differences between the mean expression levels of each gene in humans and in chimpanzees for the 23 pseudogenes and 12,647 intact genes for each of the four brain regions. In each case, only the genes detected in a given brain region were used for the calculation. In all fou...
15138501_p11
15138501
A Test for Neutrality
4.11399
biomedical
Study
[ 0.9995028972625732, 0.0002726934617385268, 0.0002243350463686511 ]
[ 0.9993906021118164, 0.00018535686831455678, 0.00036090242792852223, 0.00006312574987532571 ]
en
0.999997
Thus, we failed to detect any significant excess of intact genes that diverged faster in expression than pseudogenes. This indicates that the fraction of gene expression differences between the species that are fixed by positive selection is small. Interestingly, there was also no detectable excess of intact genes that...
15138501_p12
15138501
A Test for Neutrality
4.095333
biomedical
Study
[ 0.9994010925292969, 0.0002324771776329726, 0.00036649336107075214 ]
[ 0.9992969036102295, 0.0003126752853859216, 0.000337983452482149, 0.000052483264880720526 ]
en
0.999995
The fact that the overall accumulation of expression differences conforms to a selectively neutral model does not mean, of course, that all expression differences between species are selectively neutral. As for nucleotide changes, some changes in gene expression will have had phenotypic consequences and some of these w...
15138501_p13
15138501
A Test for Positive Selection
4.325393
biomedical
Study
[ 0.9995087385177612, 0.00025131000438705087, 0.00023996317759156227 ]
[ 0.9985104203224182, 0.00039431071490980685, 0.0010162988910451531, 0.00007891970017226413 ]
en
0.999995
Since we are unable to tease apart genetic and environmental contributions to expression diversity, we instead used pseudogenes to estimate the distribution of divergence to diversity ratios observed in the absence of selection and compared these ratios to intact genes. No significant difference was found (Kolmogorov-S...
15138501_p14
15138501
A Test for Positive Selection
4.10301
biomedical
Study
[ 0.9994447827339172, 0.00026859581703320146, 0.00028670488973148167 ]
[ 0.9994851350784302, 0.00017365340318065137, 0.0002868532028514892, 0.000054328833357430995 ]
en
0.999997
Different anatomical brain structures appeared at different times during vertebrate evolution. These time points can be viewed as divergence times between brain regions extending millions of years back in the past . If gene expression changes between different brain regions have a large random component, gene expressio...
15138501_p15
15138501
Transcriptome Evolution among Brain Regions
4.226161
biomedical
Study
[ 0.9994822144508362, 0.00028053633286617696, 0.00023721686739008874 ]
[ 0.9993835687637329, 0.0001700319699011743, 0.0003796472738031298, 0.00006664132524747401 ]
en
0.999997
If gene expression differences between the brain regions were largely adaptive, one would expect them to correlate with tissue function and not with evolutionary divergence time. Our data show that tissues that diverged recently have very similar gene expression profiles irrespective of the differences in function. For...
15138501_p16
15138501
Transcriptome Evolution among Brain Regions
4.182488
biomedical
Study
[ 0.999504566192627, 0.00025442070909775794, 0.00024098913127090782 ]
[ 0.9993088245391846, 0.00024037550610955805, 0.0003867844061460346, 0.00006396770913852379 ]
en
0.999996
A noteworthy finding is that the accumulation of expression differences between brain regions within a species is much slower than the accumulation of expression differences within a brain region between species. In fact, the expression differences that have accumulated among the primate species over 20 million years a...
15138501_p17
15138501
Transcriptome Evolution among Brain Regions
4.245424
biomedical
Study
[ 0.9995025396347046, 0.0002447372244205326, 0.00025276740780100226 ]
[ 0.9991162419319153, 0.0002618417202029377, 0.0005600363947451115, 0.00006187292456161231 ]
en
0.999997
A possible alternative explanation for the correlation between differences in gene expression and evolutionary divergence time among brain regions could be that differences in gene expression do not correlate with evolutionary divergence time, but instead with divergence time during fetal development. Our observations ...
15138501_p18
15138501
Transcriptome Evolution among Brain Regions
4.200582
biomedical
Study
[ 0.9996143579483032, 0.0001671432110015303, 0.00021841080160811543 ]
[ 0.9980185031890869, 0.000564986898098141, 0.0013335580006241798, 0.00008291666745208204 ]
en
0.999999
We show that a neutral model of evolution can predict the main features of transcriptome evolution in the brains of primates and mice. A neutral model is also in agreement with published observations in Drosophila and fish . Although selective scenarios that explain some or even most of these observations can be found,...
15138501_p19
15138501
Conclusions
4.247097
biomedical
Study
[ 0.9995028972625732, 0.0002816662017721683, 0.00021545881463680416 ]
[ 0.9978463649749756, 0.000295592297334224, 0.001765180961228907, 0.00009289886656915769 ]
en
0.999997
Finally, the finding that gene expression differences can be used as a molecular clock to date tissue divergences opens the prospect of reconstructing the evolutionary history of organs and tissues based on gene expression measurements in a single species.
15138501_p20
15138501
Conclusions
3.890893
biomedical
Study
[ 0.9994238615036011, 0.00016622729890514165, 0.00040993353468365967 ]
[ 0.8269059062004089, 0.1429055780172348, 0.029660305008292198, 0.0005282885394990444 ]
en
0.999999
For the primate samples, approximately 200 mg of gray matter was collected from post mortem brain samples from prefrontal cortex region corresponding to Brodmann's area 9 in the left hemisphere from six male humans who were 45, 45, 63, 65, 70, and 70 years old; five male chimpanzees that were 7, 12, 12, 12, and approxi...
15138501_p21
15138501
Tissue samples and microarray data collection
4.145786
biomedical
Study
[ 0.9995656609535217, 0.0002316412137588486, 0.00020267868239898235 ]
[ 0.9992431402206421, 0.0002703361969906837, 0.0004222799325361848, 0.00006423424929380417 ]
en
0.999997
For Affymetrix microarrays, labeling of 5 μg of the RNA, hybridization, staining, washing steps, and array scanning were carried out following Affymetrix protocols. Expression data were collected using Affymetrix HG U95Av2 arrays for the primate samples and Affymetrix MG U74Av2 arrays for the mice samples. The Affymetr...
15138501_p22
15138501
Tissue samples and microarray data collection
3.998848
biomedical
Study
[ 0.9995138645172119, 0.00015879930288065225, 0.00032731128158047795 ]
[ 0.9673783779144287, 0.03146333992481232, 0.0009034659015014768, 0.0002548784832470119 ]
en
0.999997
Arrays containing 51,000 cDNAs corresponding to approximately 40,000 UniGene clusters were manufactured in the laboratory of W.A. as described elsewhere . Labeling, hybridization, staining, washing, and array scanning were carried out as described by Cortes-Canteli et al. with slight modifications. All samples were hyb...
15138501_p23
15138501
Tissue samples and microarray data collection
4.0308
biomedical
Study
[ 0.9995664954185486, 0.00014704435307066888, 0.0002864809357561171 ]
[ 0.99397212266922, 0.005295906215906143, 0.0006061987951397896, 0.00012575076834764332 ]
en
0.999995
In order to exclude all oligonucleotide probes that did not match perfectly between humans and chimpanzees, we aligned all Affymetrix target sequences ( http://www.affymetrix.com/analysis/index.affx ) first to the human genome (build 33) and then to a draft version of the chimpanzee genome . Using BLAT , we matched chi...
15138501_p24
15138501
Masking of sequence differences between humans and chimpanzees
4.138158
biomedical
Study
[ 0.9995417594909668, 0.0002579729480203241, 0.00020027441496495157 ]
[ 0.9992965459823608, 0.0003372500359546393, 0.0002991479414049536, 0.00006709266017423943 ]
en
0.999997
Affymetrix microarray image data were analyzed with Affymetrix Microarray Suite v5.0 using default parameters. Arrays were scaled to the same average intensity using all probes on the array. Detected genes were defined as those with a detection p -value less than or equal to 0.05. For calculation of the expression valu...
15138501_p25
15138501
Microarray data analysis
4.208042
biomedical
Study
[ 0.9995861649513245, 0.0002571980294305831, 0.00015675026224926114 ]
[ 0.9981062412261963, 0.0010924309026449919, 0.0006939842714928091, 0.00010728518100222573 ]
en
0.999995
We measured the divergence between human and chimpanzee by looking at the squared difference between the mean expression values in humans and chimpanzees. This estimate of divergence includes the errors in our estimates of the two means, which is proportional to the variance in each of the species, and thus to the dive...
15138501_p26
15138501
Correlation significance test
4.253573
biomedical
Study
[ 0.9993300437927246, 0.0003170444106217474, 0.00035296884016133845 ]
[ 0.9993289709091187, 0.0002437649091007188, 0.0003650217840913683, 0.000062303886807058 ]
en
0.999995
We retrieved sequences of all pseudogenes as determined by Torrents et al. , Zhang et al. , and the VEGA project ( http://vega.sanger.ac.uk ). These sequences, as well as the Affymetrix target sequences, were mapped to the human genome (build 34) using BLAT , and the best hit was determined using the following paramete...
15138501_p27
15138501
Expressed pseudogenes
4.211842
biomedical
Study
[ 0.9994284510612488, 0.0003286780265625566, 0.0002428128063911572 ]
[ 0.9993864297866821, 0.00024472398217767477, 0.0002930907066911459, 0.00007579575321869925 ]
en
0.999997
Biochemical studies performed in higher eukaryotes have shown that DNA replication initiates at specific sites, or within initiation zones, suggesting the involvement of particular DNA sequences called replicators . In contrast, functional studies, as well as studies of DNA replication performed in early embryos of var...
15208711_p0
15208711
Introduction
4.18052
biomedical
Study
[ 0.9992596507072449, 0.00029300572350621223, 0.00044732101378031075 ]
[ 0.8084961175918579, 0.0026041127275675535, 0.18850231170654297, 0.0003974323335569352 ]
en
0.999996
The presence of specific initiation sites and of initiation zones has also been proposed to explain the latent replication of the Epstein-Barr virus (EBV) genome in human cell lines. During latent replication, the EBV genome is maintained as a circular episome (∼175 kb in size), and the host cell provides both the repl...
15208711_p1
15208711
Introduction
4.681689
biomedical
Study
[ 0.9991044402122498, 0.0005334991146810353, 0.00036206061486154795 ]
[ 0.9861593842506409, 0.0008106438326649368, 0.01270455215126276, 0.0003254060575272888 ]
en
0.999996
We recently began to study the replication of individual EBV episomes using fluorescence microscopy . In a previous study, we collected various images of the Raji EBV genome . The analysis of those molecules demonstrated that the duplication of different EBV episomes begins at different initiation sites located within ...
15208711_p2
15208711
Introduction
4.061748
biomedical
Study
[ 0.9995668530464172, 0.0002092119975714013, 0.00022384696057997644 ]
[ 0.9993601441383362, 0.00031257516820915043, 0.0002658441662788391, 0.00006154782749945298 ]
en
0.999997
In the present study, we performed an extensive analysis of the replication dynamics of the EBV genome in two human Burkitt's lymphoma cell lines (Raji and Mutu I). By utilizing a different procedure to stretch DNA molecules we were able to collect a large number of images of the EBV genome representative of different ...
15208711_p3
15208711
Introduction
4.139605
biomedical
Study
[ 0.9995012283325195, 0.0002872235490940511, 0.00021147294319234788 ]
[ 0.9994188547134399, 0.0002027587324846536, 0.00031288614263758063, 0.00006556348671438172 ]
en
0.999998
These improvements allowed us to obtain important new results as well as to extend previous observations. Here we show that initiation events are not limited to a specific portion of the EBV genome (namely the initiation zone detected by 2D gel electrophoresis), but, unexpectedly, take place throughout the EBV genome. ...
15208711_p4
15208711
Introduction
4.096342
biomedical
Study
[ 0.9995086193084717, 0.00026723043993115425, 0.000224146424443461 ]
[ 0.9993857145309448, 0.0002771037688944489, 0.00027021163259632885, 0.00006692991883028299 ]
en
0.999996
Our new results also indicate that, in these two EBV strains, both the frequency and the order of activation of the initiation sites vary considerably throughout the viral genome. This variation involves initiation sites such as oriP, the sequence of which is highly conserved in the two EBV strains . Hence, the utiliza...
15208711_p5
15208711
Introduction
4.21562
biomedical
Study
[ 0.9994489550590515, 0.00030212735873647034, 0.0002489143516868353 ]
[ 0.9993402361869812, 0.00024732231395319104, 0.0003436757542658597, 0.0000686722487444058 ]
en
0.999999
In order to study DNA replication, we used a procedure that we call single molecule analysis of replicated DNA (SMARD). This procedure labels the replicating DNA in a way that allows us to determine the position, the direction, and the density of the replication forks in a steady-state population of replicating molecul...
15208711_p6
15208711
Fluorescent Hybridization Immunostaining of Individual EBV Episomes Stretched on Microscope Slides
4.1419
biomedical
Study
[ 0.9996910095214844, 0.00016048156248871237, 0.0001484313834225759 ]
[ 0.9981486797332764, 0.0009669577120803297, 0.0008057428058236837, 0.00007857281889300793 ]
en
0.999998
In our procedure, an asynchronous population of cells is sequentially labeled with 5′-iodo-2′-deoxyuridine (IdU) and 5′-chloro-2′-deoxyuridine (CldU) . The length of each labeling period is longer than the time required to completely replicate the EBV genome (3.5–4 h; see Materials and Methods ). This allows some of th...
15208711_p7
15208711
Fluorescent Hybridization Immunostaining of Individual EBV Episomes Stretched on Microscope Slides
4.166544
biomedical
Study
[ 0.9995017051696777, 0.00028704185388050973, 0.00021120277233421803 ]
[ 0.999242901802063, 0.000377628137357533, 0.00031049546669237316, 0.00006895251863170415 ]
en
0.999999
In the experiments described in this study, agarose-embedded total DNA was prepared from cells labeled with halogenated nucleotides. The circular EBV episomes were converted to linear molecules by digestion with a restriction endonuclease (PacI or SwaI). After pulsed field gel electrophoresis, the EBV DNA was recovered...
15208711_p8
15208711
Fluorescent Hybridization Immunostaining of Individual EBV Episomes Stretched on Microscope Slides
4.122641
biomedical
Study
[ 0.9995406866073608, 0.0002569466014392674, 0.00020244007464498281 ]
[ 0.9994390606880188, 0.00019324105232954025, 0.00030931824585422873, 0.00005838099241373129 ]
en
0.999998
In order to define precisely how the Raji EBV genome replicates, we recovered the images of 245 PacI-linearized EBV episomes that incorporated halogenated nucleotides along their entire length (112 fully stained in red, 84 fully stained in green, and 49 stained in both red and green). The results of this experiment are...
15208711_p9
15208711
The Raji EBV Genome Contains a Region That Usually Replicates First and a Region That Usually Replicates Last
4.134166
biomedical
Study
[ 0.9994927644729614, 0.0002855932107195258, 0.00022166152484714985 ]
[ 0.9993982315063477, 0.000282646797131747, 0.00025467181694693863, 0.00006438461423385888 ]
en
0.999997
However, the progression of DNA replication throughout the EBV genome is better described by the replication profile of the molecules analyzed . This profile was obtained by dividing the map of the episomes into intervals of 5 kb (horizontal axis) and then indicating the percentage of molecules stained in red within ea...
15208711_p10
15208711
The Raji EBV Genome Contains a Region That Usually Replicates First and a Region That Usually Replicates Last
4.12683
biomedical
Study
[ 0.9995790123939514, 0.0002142263692803681, 0.00020673885592259467 ]
[ 0.9990239143371582, 0.0005627896753139794, 0.0003525984939187765, 0.0000607029942329973 ]
en
0.999998
The RRF contains the initiation sites most frequently utilized to begin the duplication of the Raji EBV episomes. More than 80% of the molecules analyzed were stained in red throughout intervals 1–7 and 31–35 . In the molecules representing early stages of episomal duplication , initiation events took place either with...
15208711_p11
15208711
The Raji EBV Genome Contains a Region That Usually Replicates First and a Region That Usually Replicates Last
4.258297
biomedical
Study
[ 0.9994574189186096, 0.00024588184896856546, 0.0002966789179481566 ]
[ 0.9993258714675903, 0.0003457121492829174, 0.0002674081770237535, 0.0000610442875768058 ]
en
0.999998
The RRL appears in the replication profile of the Raji EBV episomes as a large valley . The bottom of the valley spans about 40 kb (intervals 11–18), and its flat appearance indicates that throughout this region the episomes terminate their duplication with similar probability. Note, however, that termination events ca...
15208711_p12
15208711
The Raji EBV Genome Contains a Region That Usually Replicates First and a Region That Usually Replicates Last
4.231851
biomedical
Study
[ 0.9994346499443054, 0.00022227605222724378, 0.00034304638393223286 ]
[ 0.9986547231674194, 0.000978343770839274, 0.0002898369275499135, 0.00007697739056311548 ]
en
0.999998
The presence of RRF and RRL was confirmed by a second SMARD experiment in which we digested the EBV episomes with SwaI. This enzyme cleaves twice in the viral genome, producing fragments of 105 and 70 kb. The larger fragment was expected to contain most of the RRF (now located near the center of DNA molecules), and a s...
15208711_p13
15208711
The Raji EBV Genome Contains a Region That Usually Replicates First and a Region That Usually Replicates Last
4.174006
biomedical
Study
[ 0.9994832277297974, 0.00032029120484367013, 0.00019646325381472707 ]
[ 0.999329686164856, 0.0003034064138773829, 0.0002877998922485858, 0.00007912671571830288 ]
en
0.999998
The movement of the replication forks throughout the EBV genome is described by the profiles of replication fork abundance . These profiles were obtained by dividing the map of the EBV genome into intervals of 5 kb (horizontal axis) and then indicating the percentage of molecules containing red-to-green transitions wit...
15208711_p14
15208711
Replication Forks Move Without Significant Pausing throughout the Raji EBV Genome with the Exception of the Genomic Region near oriP
4.246817
biomedical
Study
[ 0.9994478821754456, 0.0003189080744050443, 0.0002331666328245774 ]
[ 0.9992490410804749, 0.0003283217374701053, 0.00034590254654176533, 0.0000767441451898776 ]
en
0.999998
From the profiles of replication fork abundance we can also determine the prevalent direction of the replication forks throughout specific portions of the EBV genome. For example, throughout most of the RRL, replication forks move in both directions at similar frequencies . The bidirectional movement of the replication...
15208711_p15
15208711
Replication Forks Move Without Significant Pausing throughout the Raji EBV Genome with the Exception of the Genomic Region near oriP
4.139754
biomedical
Study
[ 0.9994214773178101, 0.00028843278414569795, 0.0002900965337175876 ]
[ 0.9993027448654175, 0.000342866696882993, 0.0002922512067016214, 0.00006218519411049783 ]
en
0.999997
Within the rest of the EBV genome, however, the movement of the replication forks is mostly unidirectional . For example, replication forks move mainly rightward from interval 11 throughout oriP and beyond . This direction bias is compatible with a previous 2D gel analysis of the oriP region in Raji cells and is not af...
15208711_p16
15208711
Replication Forks Move Without Significant Pausing throughout the Raji EBV Genome with the Exception of the Genomic Region near oriP
4.256543
biomedical
Study
[ 0.9994378685951233, 0.0003080528986174613, 0.0002540485584177077 ]
[ 0.99901282787323, 0.0005020865937694907, 0.00040199325303547084, 0.0000831500583444722 ]
en
0.999997
Early studies performed by electron microscopy identified Raji EBV episomes with multiple replication bubbles but could not identify the position of these initiation events . In order to detect the presence of these events and to determine their location we analyzed the immunostaining patterns of the DNA molecules desc...
15208711_p17
15208711
Active Initiation Sites Are Not Limited to the RRF
4.450789
biomedical
Study
[ 0.9992927312850952, 0.00043524522334337234, 0.00027198842144571245 ]
[ 0.9989805817604065, 0.000346414337400347, 0.0005481230327859521, 0.00012476328993216157 ]
en
0.999997
In the previous sections we showed that different portions of the EBV genome are not equivalent with respect to when and where DNA replication begins and how DNA replication progresses. Here we wanted to determine the quantitative aspects of DNA replication in different portions of the EBV genome. The data obtained by ...
15208711_p18
15208711
DNA Replication Proceeds at Different Speeds throughout Different Portions of the Raji EBV Genome
4.136368
biomedical
Study
[ 0.9995079040527344, 0.0002653041738085449, 0.00022677805100101978 ]
[ 0.9993877410888672, 0.00022571840963792056, 0.00033147213980555534, 0.00005505684748641215 ]
en
0.999997
We calculated the value of Sd for each portion of the Raji EBV genome, depicted with double-headed arrows in Figure 5 (segments A–K; Td is reported in Table 1 ). The results obtained from the PacI and the SwaI experiments were analyzed independently but show remarkable similarities . Therefore, the quantitative analysi...
15208711_p19
15208711
DNA Replication Proceeds at Different Speeds throughout Different Portions of the Raji EBV Genome
3.821609
biomedical
Study
[ 0.9994069337844849, 0.00017939828103408217, 0.0004136133356951177 ]
[ 0.9986724853515625, 0.0009747379808686674, 0.0002802197996061295, 0.00007256466778926551 ]
en
0.999997
We found that different portions of the EBV genome replicate at different speeds, with values that range from a minimum of 0.3 kb/min to a maximum of 3.5–4.7 kb/min (segment I ). More details are provided later in the text. However, it is important to note that the highest Sd values were detected within the central por...
15208711_p20
15208711
DNA Replication Proceeds at Different Speeds throughout Different Portions of the Raji EBV Genome
4.089117
biomedical
Study
[ 0.9994811415672302, 0.00021862673747818917, 0.0003002207085955888 ]
[ 0.9993994235992432, 0.000335661054123193, 0.00021320537780411541, 0.00005165399852558039 ]
en
0.999998
Three lines of evidence indicate that multiple initiation events take place within the Raji RRF. Two lines of evidence are discussed in this section (the presence of multiple red patches in the immunostaining patterns of some EBV episomes and the detection of termination events by 2D gel analysis); the third is discuss...
15208711_p21
15208711
Multiple Initiation Events Can Take Place on the Same Raji EBV Episome within the RRF
3.843614
biomedical
Study
[ 0.9995818734169006, 0.00011263578198850155, 0.00030553177930414677 ]
[ 0.9890778660774231, 0.0075904252007603645, 0.003142311703413725, 0.00018934674153570086 ]
en
0.999999
The first line of evidence is provided by the immunostaining pattern of the EBV molecules. Although discontinuities in the immunostaining make it difficult to detect multiple initiation events when the distance between converging forks is 5 kb or less, the replication patterns of some of the molecules are compatible wi...
15208711_p22
15208711
Multiple Initiation Events Can Take Place on the Same Raji EBV Episome within the RRF
4.369236
biomedical
Study
[ 0.999377965927124, 0.00037221729871816933, 0.000249801465542987 ]
[ 0.9991496801376343, 0.00037177896592766047, 0.0003729081654455513, 0.00010557149653322995 ]
en
0.999996
A second line of evidence is provided by the structure of the replication intermediates examined by 2D gel electrophoresis in exponentially growing Raji cells ( see Materials and Methods ). We analyzed nine restriction fragments, indicated in Figure 3 A as gray bars (a–i). We also reexamined the hybridization patterns ...
15208711_p23
15208711
Multiple Initiation Events Can Take Place on the Same Raji EBV Episome within the RRF
4.292602
biomedical
Study
[ 0.9994156360626221, 0.0003333183703944087, 0.00025100394850596786 ]
[ 0.9993256330490112, 0.00022084653028286994, 0.0003699262742884457, 0.00008370095019927248 ]
en
0.999999
Previous observations have suggested that some initiation sites (such as oriP) are used at a different frequency in different EBV strains . However, it was not known whether these changes were the result of modifications in the activity of individual initiation sites or involved multiple initiation sites throughout the...
15208711_p24
15208711
In Mutu I Cells, the Order of Activation of the Initiation Sites Varies Throughout the Viral Genome
4.060429
biomedical
Study
[ 0.9995200634002686, 0.00020524782303255051, 0.00027462889556773007 ]
[ 0.9995391368865967, 0.0002116139221470803, 0.00019695919763762504, 0.000052281946409493685 ]
en
0.999996
The most striking differences in the replication of the two EBV strains were found in the order of activation of the initiation sites. In Raji episomes, primary initiation events are restricted to an 80-kb region approximately corresponding to the RRF . In contrast, in Mutu I episomes primary initiation events occur at...
15208711_p25
15208711
In Mutu I Cells, the Order of Activation of the Initiation Sites Varies Throughout the Viral Genome
4.393945
biomedical
Study
[ 0.9993765950202942, 0.00039826572174206376, 0.00022520909260492772 ]
[ 0.9988492727279663, 0.00029971235198900104, 0.0007395436405204237, 0.00011148760677315295 ]
en
0.999997
Modifications in the activity of individual initiation sites (such as oriP) could potentially explain the different location of the RRF in Raji and Mutu I episomes. However, the following considerations indicate that this is not the case. Initiation events occurring at oriP take place in the vicinity of the dyad symmet...
15208711_p26
15208711
The RRFs Are Produced by Clusters of Initiation Sites Frequently Activated at the Beginning of the Duplication of the Episomes
4.488549
biomedical
Study
[ 0.9992665648460388, 0.00041745600174181163, 0.0003160869237035513 ]
[ 0.9984851479530334, 0.0008581013535149395, 0.0005113827646709979, 0.00014541455311700702 ]
en
0.999998
Similar conclusions apply to the RRF of the Raji EBV genome (∼80 kb in size), in which primary initiation events were detected at various locations . This could explain why only weak bubble arcs were detected by 2D gel electrophoresis throughout the RRF, even though the duplication of the episomes usually begins within...
15208711_p27
15208711
The RRFs Are Produced by Clusters of Initiation Sites Frequently Activated at the Beginning of the Duplication of the Episomes
4.279161
biomedical
Study
[ 0.9995105266571045, 0.0002586033660918474, 0.00023095942742656916 ]
[ 0.9989103078842163, 0.000571642944123596, 0.00043046934297308326, 0.00008752290887059644 ]
en
0.999997
In the previous sections we have shown that the order of activation of the initiation sites in Raji and Mutu I EBV episomes is not conserved. Here, we wanted to determine whether the quantitative aspects of DNA replication were also different. SMARD was used to calculate Sd for each portion of the Mutu I EBV genome, de...
15208711_p28
15208711
The Duplication Speed of Various Portions of the EBV Genome Is Different in Raji and Mutu I EBV Episomes
4.1578
biomedical
Study
[ 0.9994857311248779, 0.00029377860482782125, 0.00022040383191779256 ]
[ 0.9994563460350037, 0.0001996109203901142, 0.00027964546461589634, 0.00006437687261495739 ]
en
0.999998
We also noticed that similar portions of the EBV genome have different Sd values in the two viral strains. Segments A′–G′ divide the Mutu I EBV genome in seven parts of identical size . These segments encompass portions of the EBV genome similar to segments A–G in the Raji genome . However, the values of Sd differ sign...
15208711_p29
15208711
The Duplication Speed of Various Portions of the EBV Genome Is Different in Raji and Mutu I EBV Episomes
4.259351
biomedical
Study
[ 0.9994367957115173, 0.00030960736330598593, 0.0002534778614062816 ]
[ 0.9993545413017273, 0.00025652023032307625, 0.0003139288164675236, 0.00007498265040339902 ]
en
0.999996
Previous observations have suggested that in mammalian cells the speed of the replication forks can vary . Here, we wanted to determine if some of the differences detected in the replication of Raji and Mutu I episomes could be ascribed to modifications in the rate of progression of the replication forks as proposed fo...
15208711_p30
15208711
Replication Forks Progress at Similar Rates Across Different Portions of the EBV Genome and in Different EBV Strains
4.095655
biomedical
Study
[ 0.9994365572929382, 0.00026988593162968755, 0.00029356114100664854 ]
[ 0.999479353427887, 0.00022875469585414976, 0.00023563271679449826, 0.00005627923019346781 ]
en
0.999998
In Raji episomes, we found that the average speed of the replication forks was about 1.0 kb/min throughout both segment H and segment J ; these segments are replicated by forks moving predominantly in one direction . Interestingly, a similar value (1.1 kb/min) was found for two different portions of the Mutu I EBV geno...
15208711_p31
15208711
Replication Forks Progress at Similar Rates Across Different Portions of the EBV Genome and in Different EBV Strains
4.182025
biomedical
Study
[ 0.9994528889656067, 0.00026520813116803765, 0.00028193966136313975 ]
[ 0.9993104934692383, 0.0003729649761226028, 0.00024941947776824236, 0.00006712406320730224 ]
en
0.999999
Studies performed in different systems have suggested that transcription could interfere with the progression of the replication forks . In the Raji EBV genome, segments J and H are located within the long transcription unit of the EBNA genes . Throughout segment J, replication forks progress in the same direction of t...
15208711_p32
15208711
Replication Forks Progress at Similar Rates Across Different Portions of the EBV Genome and in Different EBV Strains
4.220762
biomedical
Study
[ 0.999432384967804, 0.0002712148998398334, 0.00029639239073731005 ]
[ 0.9991783499717712, 0.0004485819663386792, 0.0003044595359824598, 0.00006864337774459273 ]
en
0.999999
Variation in the utilization of the initiation sites and similarity in the speed of the replication forks suggest that the former should have a stronger influence on the duplication speed of a genomic segment. If we assume that the speed of the replication forks is constant throughout the EBV genome (except for the reg...
15208711_p33
15208711
The Duplication Speed of a Genomic Segment Reflects the Average Number of Replication Forks Involved in Its Replication
4.540548
biomedical
Study
[ 0.9992532134056091, 0.0005166621995158494, 0.00023014306498225778 ]
[ 0.9985764026641846, 0.00046504789497703314, 0.0007558928919024765, 0.00020261640020180494 ]
en
0.999996
In this study, we determined how DNA replication initiates and progresses in EBV episomes latently replicating in two human Burkitt's lymphoma cell lines (Raji and Mutu I). Previous experiments had suggested that some variability in the utilization of oriP might exist among different EBV strains . Here, however, we fou...
15208711_p34
15208711
Conserved and Nonconserved Features in the Latent Replication of Different EBV Strains
4.306999
biomedical
Study
[ 0.9993215799331665, 0.0004497004847507924, 0.00022869635722599924 ]
[ 0.9991400241851807, 0.00020337250316515565, 0.0005488715250976384, 0.00010776955605251715 ]
en
0.999999
The EBV episomes replicating in these two cell lines have a similar size and genomic organization. However, the number of internal repeats 1 (also called Bam HI W) is reduced by one unit in the Mutu I strain (not shown), while the Raji EBV genome contains two short deletions . In principle, these differences could affe...
15208711_p35
15208711
Conserved and Nonconserved Features in the Latent Replication of Different EBV Strains
4.417957
biomedical
Study
[ 0.9993917942047119, 0.0003757877857424319, 0.00023241584131028503 ]
[ 0.9988963603973389, 0.0003666313423309475, 0.0006223262753337622, 0.00011465133866295218 ]
en
0.999998
This study also revealed modifications in the pausing of the replication forks in the oriP region. Accumulation of replication forks is clearly present in both EBV strains within this genomic region. However, only 25% of replicating Mutu I episomes contain replication forks at this location , compared with 43% of Raji ...
15208711_p36
15208711
Conserved and Nonconserved Features in the Latent Replication of Different EBV Strains
4.186725
biomedical
Study
[ 0.9994304776191711, 0.0003207643167115748, 0.0002487855963408947 ]
[ 0.9993652701377869, 0.000243459886405617, 0.0003120701585430652, 0.00007925460522528738 ]
en
0.999998
We also found that some features of the episomal duplication do not vary. In both Raji and Mutu I cells, replication forks move freely throughout the EBV genome , and their progression rate appears to be constant. This indicates that modifications in the speed of the replication forks do not contribute significantly to...
15208711_p37
15208711
Conserved and Nonconserved Features in the Latent Replication of Different EBV Strains
4.160759
biomedical
Study
[ 0.9994482398033142, 0.00029420971986837685, 0.0002576021943241358 ]
[ 0.9993903636932373, 0.00020281251636333764, 0.000341813632985577, 0.00006499783921753988 ]
en
0.999998
Another common feature between Raji and Mutu I cells is the presence of a genomic region that usually replicates first during the duplication of each episome. The position of this RRF differs in the two EBV strains. However, the direction of movement of the replication forks throughout the RRFs is similar. For example,...
15208711_p38
15208711
Conserved and Nonconserved Features in the Latent Replication of Different EBV Strains
4.260644
biomedical
Study
[ 0.9994792342185974, 0.0002637277648318559, 0.0002570903452578932 ]
[ 0.9990739822387695, 0.0004941380466334522, 0.00035893896711058915, 0.00007283405284397304 ]
en
0.999997
Even if the EBV episomes utilize the same replication machinery (provided by the host cell), several aspects of their duplication are not conserved between Raji and Mutu I. In mammalian cells, prereplication complexes are believed to form at the end of mitosis, when general transcription is shut off . However, the sele...
15208711_p39
15208711
Utilization of Initiation Sites is Regulated at the Level of Genomic Regions Rather Than at the Level of Individual Initiation Sites
4.214394
biomedical
Study
[ 0.9994899034500122, 0.000278019200777635, 0.0002321548672625795 ]
[ 0.9993228912353516, 0.00026719580637291074, 0.000339202000759542, 0.00007080943032633513 ]
en
0.999996
One of the questions we tried to answer is whether initiation of DNA replication is regulated at the level of individual initiation sites. Clues to a possible regulatory mechanism can be found in the replication profiles of the EBV episomes. The RRFs are localized in specific portions of the EBV genome that differ in t...
15208711_p40
15208711
Utilization of Initiation Sites is Regulated at the Level of Genomic Regions Rather Than at the Level of Individual Initiation Sites
4.226023
biomedical
Study
[ 0.9994359612464905, 0.00028159550856798887, 0.00028232450131326914 ]
[ 0.9992493987083435, 0.0003345009172335267, 0.00035196729004383087, 0.00006406671309377998 ]
en
0.999997
Recent findings have shown that histone acetylation can influence the timing of replication origin firing in yeast . In this study we found that even if initiation events were detected at many locations within the MutuI episomes, primary initiation events occurred predominantly within the RRFs. Modifications in chromat...
15208711_p41
15208711
Utilization of Initiation Sites is Regulated at the Level of Genomic Regions Rather Than at the Level of Individual Initiation Sites
4.164083
biomedical
Study
[ 0.9994834661483765, 0.0002573112433310598, 0.00025912094861268997 ]
[ 0.999384880065918, 0.00028556620236486197, 0.0002626106725074351, 0.00006696606578771025 ]
en
0.999995
In addition to changes in the order of activation of the initiation sites, other mechanisms could influence their utilization by affecting their frequency of activation. We noticed that in Raji episomes the frequency of initiation events across the RRL appears to be reduced compared to that of the RRF. This difference ...
15208711_p42
15208711
Utilization of Initiation Sites is Regulated at the Level of Genomic Regions Rather Than at the Level of Individual Initiation Sites
4.519415
biomedical
Study
[ 0.9991374015808105, 0.0005630504456348717, 0.0002995087415911257 ]
[ 0.9986901879310608, 0.0003988878452219069, 0.0007479761261492968, 0.00016298123227898031 ]
en
0.999998
In this study, we have shown that initiation events are not confined to a specific portion of the episomes, suggesting that DNA sequences capable of functioning as initiation sites must be rather common. This can explain why, under various experimental conditions, individual initiation sites do not appear to play an es...
15208711_p43
15208711
Initiation Sites Are Redundant Elements of the EBV Genome
4.183215
biomedical
Study
[ 0.999442994594574, 0.0003288834705017507, 0.00022813552641309798 ]
[ 0.99937504529953, 0.00023921526735648513, 0.0003085736243519932, 0.00007717328844591975 ]
en
0.999998
Large deletions are also well tolerated , even when they encompass portions of the EBV genome known to contain multiple initiation sites (such as the Raji RRF). One of the deleted EBV genomes shown in Figure 7 was recently analyzed to detect binding sites for ORC and MCM proteins. Significant binding of these proteins ...
15208711_p44
15208711
Initiation Sites Are Redundant Elements of the EBV Genome
4.41186
biomedical
Study
[ 0.9993833303451538, 0.00036605107015930116, 0.0002505796728655696 ]
[ 0.999052107334137, 0.00038927971036173403, 0.0004489587736316025, 0.00010962576925521716 ]
en
0.999999
Initiation site oriP is the best characterized initiation site of the EBV genome. Initiation of DNA replication has been detected at this site in every EBV strain analyzed to date by 2D gel electrophoresis. However, the frequency of the initiation events at oriP varies in different EBV strains, and it is particularly l...
15208711_p45
15208711
Role of oriP in the Replication of EBV Episomes
4.365325
biomedical
Study
[ 0.999519944190979, 0.0002604879264254123, 0.00021957741410005838 ]
[ 0.998678982257843, 0.0004710270732175559, 0.0007537456694990396, 0.00009624647645978257 ]
en
0.999998
In our current study we show that primary initiation events are frequently detected by SMARD near oriP in Mutu I but not in Raji episomes. This could be explained, in part, by the decreased frequency of utilization of this site in the Raji strains. However, this is unlikely to be the only reason. Even infrequent primar...
15208711_p46
15208711
Role of oriP in the Replication of EBV Episomes
4.361882
biomedical
Study
[ 0.9992820620536804, 0.00043533145799301565, 0.0002826247364282608 ]
[ 0.9992524981498718, 0.0002957235847134143, 0.0003500382590573281, 0.00010163599654333666 ]
en
0.999997
Various groups have suggested that different cellular proteins could participate in regulating the activity of oriP . However, it is currently not clear why, in Raji episomes, oriP is not among the preferred initiation sites. Interestingly, it has been reported that oriP is more extensively methylated in Raji than in o...
15208711_p47
15208711
Role of oriP in the Replication of EBV Episomes
4.255044
biomedical
Study
[ 0.9995354413986206, 0.00023756817972753197, 0.0002269911637995392 ]
[ 0.9980315566062927, 0.0004215511726215482, 0.0014638772699981928, 0.00008307661482831463 ]
en
0.999999
In this study we have shown that, while the basic features of DNA replication are conserved (i.e., the progression of the replication forks), the activity of the initiation sites (order and frequency of activation) varies significantly in different EBV strains and across different portions of the EBV genome. Importantl...
15208711_p48
15208711
Conclusions—Flexible Utilization of Initiation Sites in Higher Eukaryotes
4.355237
biomedical
Study
[ 0.9994169473648071, 0.00038112697075121105, 0.0002019316452788189 ]
[ 0.9986547231674194, 0.0003215069300495088, 0.0009113333653658628, 0.0001124524642364122 ]
en
0.999998
Raji cells were grown in exponential phase , keeping the cell density between 3 × 10 5 and 8 × 10 5 cells/ml. The experiments presented in this manuscript were performed at approximately 5 × 10 5 Raji cells/ml, using two labeling periods (240 min each) with 25 μM IdU (first label) and 25 μM CldU (second label). IdU was...
15208711_p49
15208711
Cell cultures, EBV strains, and double-labeling of replicating DNA
4.085213
biomedical
Study
[ 0.9995619654655457, 0.0002256150619359687, 0.00021245692914817482 ]
[ 0.9983966946601868, 0.0012417292455211282, 0.0002890364557970315, 0.0000724713972886093 ]
en
0.999994
Early passages of the Mutu I cells were provided by Alan B. Rickinson and grown for only seven additional passages (keeping the cell density between 4 × 10 5 and 8 × 10 5 cells/ml) before the replicating DNA was labeled. The conditions used for growth and labeling were the same as those used for Raji cells, with the ex...
15208711_p50
15208711
Cell cultures, EBV strains, and double-labeling of replicating DNA
4.143893
biomedical
Study
[ 0.9994799494743347, 0.00023855095787439495, 0.00028159661451354623 ]
[ 0.9988898634910583, 0.0007830847753211856, 0.0002509618934709579, 0.00007610908505739644 ]
en
0.999997
Only ten EBV genes (out of about 100) can be expressed during latency . In EBV-associated diseases, where the viral genome is maintained as a circular episome, the phenotype of the infected cell influences the viral patterns of expression . Three different latent transcription patterns have been described : type I (onl...
15208711_p51
15208711
Cell cultures, EBV strains, and double-labeling of replicating DNA
4.26985
biomedical
Study
[ 0.9995526671409607, 0.0001957994099939242, 0.00025150328292511404 ]
[ 0.9990724325180054, 0.00040533492574468255, 0.00046066194772720337, 0.00006151866546133533 ]
en
0.999996
In order to collect a sufficient number of images of the EBV genome, the population of replicated episomes needed to be enriched by a partial purification using pulsed field gel electrophoresis. However, starting from the limited amount of DNA that can be purified from a pulsed field gel, we could not stretch a suffici...
15208711_p52
15208711
Improved method to stretch a large number of EBV molecules on individual slides
4.19122
biomedical
Study
[ 0.9995181560516357, 0.0002581393637228757, 0.0002237235603388399 ]
[ 0.9993126392364502, 0.00035803928039968014, 0.00026235266705043614, 0.00006704129191348329 ]
en
0.999998
Hybridization was performed as previously described using probes prepared by nick translation in the presence of biotin-16-dUTP (Roche, Basel, Switzerland). The probes used in this study, pSalF, p107.5, and pWW (provided by John L. Yates), were detected using a modification of the DIRVISH procedure . Briefly, five laye...
15208711_p53
15208711
Hybridization, probe detection, and immunostaining of the individual DNA molecules stretched on microscope slides
4.139997
biomedical
Study
[ 0.9995792508125305, 0.0002144201862392947, 0.00020633747044485062 ]
[ 0.9992944002151489, 0.00039870120235718787, 0.0002431892353342846, 0.00006368605681927875 ]
en
0.999996
Immunostaining to detect IdU and CldU was performed simultaneously with the detection of the biotinylated DNA probes. Mouse anti-IdU (Becton-Dickinson, Palo Alto, California, United States) and rat anti-CldU (Accurate Chemical, Westbury, New York, United States) were used as primary antibodies (monoclonal), while Alexa...
15208711_p54
15208711
Hybridization, probe detection, and immunostaining of the individual DNA molecules stretched on microscope slides
4.151271
biomedical
Study
[ 0.9995286464691162, 0.00026031810557469726, 0.00021102986647747457 ]
[ 0.9993206262588501, 0.0003300317330285907, 0.0002866531431209296, 0.00006277674401644617 ]
en
0.999996
Studies performed by fiber autoradiography have previously shown that the results obtained using DNA fibers (such as the average size of the replicons) are significantly affected by the length of the labeling period utilized to label the replicating DNA . In these studies bias could also be introduced during the collec...
15208711_p55
15208711
Advantages in the labeling scheme utilized for SMARD and internal controls
4.105308
biomedical
Study
[ 0.9996092915534973, 0.00015138222079258412, 0.00023936420620884746 ]
[ 0.9910171031951904, 0.0011206648778170347, 0.007767651695758104, 0.00009460138971917331 ]
en
0.999998
These problems are completely eliminated by the labeling scheme that characterizes SMARD . For our experiments we utilized exponentially growing cells and labeling periods that are longer than the time required to fully replicate the genomic region of interest. In practice, since the replication of a specific genomic r...
15208711_p56
15208711
Advantages in the labeling scheme utilized for SMARD and internal controls
4.108617
biomedical
Study
[ 0.999530553817749, 0.00021848476899322122, 0.0002508999896235764 ]
[ 0.9989379048347473, 0.0006857814732939005, 0.00031592900631949306, 0.00006034943362465128 ]
en
0.999996
Using long labeling periods, and limiting our analysis to the molecules entirely substituted with the halogenated nucleotides, also provides multiple internal controls. These controls cannot be performed when short labeling periods are used. Since the molecules are immunostained throughout their length, their images ca...
15208711_p57
15208711
Advantages in the labeling scheme utilized for SMARD and internal controls
4.27791
biomedical
Study
[ 0.9994475245475769, 0.0003422444860916585, 0.00021021875727456063 ]
[ 0.9985697269439697, 0.0005833758041262627, 0.0007617164519615471, 0.0000851894510560669 ]
en
0.999998
The procedures for the enrichment of replication intermediates, 2D gel electrophoresis, and Southern analysis were essentially as described previously . Preparations of replication intermediates from Raji cells were digested with different restriction enzymes depending on the fragment analyzed: EcoRI/DraI for fragments...
15208711_p58
15208711
Analysis of the replication intermediates by 2D gel electrophoresis at neutral pH
4.124649
biomedical
Study
[ 0.9995237588882446, 0.00023560297267977148, 0.00024069011851679534 ]
[ 0.998988926410675, 0.000540647772140801, 0.0004101474187336862, 0.00006022424713592045 ]
en
0.999995
Genetic variation in pathogen virulence (harm to the host) has been found whenever it has been looked for. A considerable body of theory, based on the transmission consequences of virulence, has been developed to predict how natural selection will act on this genetic variation and how it will shape virulence levels in ...
15221031_p0
15221031
Introduction
4.234485
biomedical
Study
[ 0.9991948008537292, 0.00036423897836357355, 0.0004410028923302889 ]
[ 0.8372541069984436, 0.0016550278523936868, 0.16073547303676605, 0.00035541647230274975 ]
en
0.999998
As well as altering between-host selection pressures on virulence, host immunity can alter the nature of inhost selection. Different directions of virulence evolution are expected depending on the details of inhost competition among parasites . Unfortunately, these details are not well understood for any pathogen . The...
15221031_p1
15221031
Introduction
4.372326
biomedical
Study
[ 0.9990942478179932, 0.0004216182860545814, 0.0004840880574192852 ]
[ 0.9213957190513611, 0.0016985497204586864, 0.07662881910800934, 0.0002769037673715502 ]
en
0.999996
One barrier to testing theoretical models of virulence evolution is that the models typically predict the outcome at evolutionary and epidemiological equilibrium. New equi-libria may or may not take a long time to reach, but will in any case depend on the dynamics of the host population and the environmental conditions...
15221031_p2
15221031
Introduction
3.983006
biomedical
Study
[ 0.9991433620452881, 0.00025205130805261433, 0.0006045284681022167 ]
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en
0.999998
In this study, we begin the empirical effort to determine the likely direction of immune-mediated virulence evolution by performing experimental evolution of the rodent malaria parasite, Plasmodium chabaudi , in laboratory mice. We evolved multiple lines of P. chabaudi in immunized and naïve mice by repeated serial pas...
15221031_p3
15221031
Introduction
4.111251
biomedical
Study
[ 0.9994385838508606, 0.00034408344072289765, 0.00021727576677221805 ]
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en
0.999996
We found that both the I-lines and N-lines evolved to become more virulent than their ancestral populations, but the I-lines became even more virulent than the N-lines . This higher virulence was manifest in both naïve and immunized mice. When the lines were transmitted through mosquitoes, there was generally a reducti...
15221031_p4
15221031
Results/Discussion
3.983609
biomedical
Study
[ 0.999352753162384, 0.00023950666945893317, 0.0004077309858985245 ]
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en
0.999997
The results suggest that immune selection on blood-stage parasites is more efficient at selecting virulent variants than is selection in naïve mice. Response to selection is a function of the amount of variation in the population and the proportion of the population that survives to produce offspring, i.e., the selecti...
15221031_p5
15221031
Immunity Selects for Higher Virulence
4.193689
biomedical
Study
[ 0.9994268417358398, 0.0003573003632482141, 0.00021583725174423307 ]
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en
0.999995
But why would selection favor more virulent parasites? Our previous studies have consistently shown that peak parasite densities in the acute phase are positively correlated to the level of virulence that they generate . We therefore expected to find that the higher virulence in I-lines was accompanied by higher parasi...
15221031_p6
15221031
Immunity Selects for Higher Virulence
4.273593
biomedical
Study
[ 0.9995144605636597, 0.00031963479705154896, 0.00016589298320468515 ]
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en
0.999998
There were positive relationships between virulence and lifetime transmission potential across all the lines , consistent with our previous studies , but the differences between the I-lines and N-lines were not statistically significant ( p > 0.05). Gametocyte densities are a good predictor of transmission probability ...
15221031_p7
15221031
Immunity Selects for Higher Virulence
4.105534
biomedical
Study
[ 0.9994716048240662, 0.0002724769292399287, 0.0002559401036705822 ]
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en
0.999993
Malaria parasites, like many microbes , are remarkable in their ability to rapidly adapt to changes in their host environment, and some of this is known to be due to phenotypic switching mechanisms in virulence-related phenotypes such as binding to host cells , red cell surface antigen expression , and red cell invasio...
15221031_p8
15221031
The Effects of Mosquito Transmission
4.24454
biomedical
Study
[ 0.9994891881942749, 0.00031914026476442814, 0.00019157413044013083 ]
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en
0.999997
We observed a general reduction in virulence across all lines following mosquito transmission , particularly when measured in immunized mice, and particularly in lines that had been selected under immune pressure, i.e., the I-lines, and in the CW-A ancestral line, which had been serially passaged on day 12 postinfectio...
15221031_p9
15221031
The Effects of Mosquito Transmission
4.164851
biomedical
Study
[ 0.999491810798645, 0.00028167999698780477, 0.00022650856408290565 ]
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en
0.999997
The mechanistic basis for the reduction in virulence following mosquito transmission remains to be determined. We offer the following speculations. It may be that the virulence reductions we and others have observed are due to stochastic loss of virulent variants during the population bottlenecking that occurs during m...
15221031_p10
15221031
The Effects of Mosquito Transmission
4.587007
biomedical
Study
[ 0.9990878105163574, 0.0006188293918967247, 0.00029339236789382994 ]
[ 0.9976825714111328, 0.0006832176586613059, 0.0014511453919112682, 0.00018307485152035952 ]
en
0.999996
Any of these mechanisms could explain the loss of virulence during mosquito transmission, but none are sufficient to explain why the I-lines were more virulent than the N-lines in naïve mice both before and after mosquito transmission. Thus, more than one distinct underlying mechanism probably explains the virulence di...
15221031_p11
15221031
The Effects of Mosquito Transmission
4.153528
biomedical
Study
[ 0.9996538162231445, 0.00020717750885523856, 0.00013896936434321105 ]
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en
0.999998
To what extent do our observations accord with previous work on serial passage of malaria in immune-modified environments? Results from other studies are difficult to interpret as none maintained control lines for selection (i.e., lines that were passaged in the nonmanipulated immune environment), most had no replicati...
15221031_p12
15221031
Other Serial Passage Studies in Malaria
4.360569
biomedical
Study
[ 0.9993829727172852, 0.00041945138946175575, 0.00019754124514292926 ]
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en
0.999995
However, the second form of immune selection—passage of acute-phase parasites from hosts injected with antiserum at the beginning of the infection—yielded parasites with lower virulence to naïve mice than their ancestors in one study , although it had no impact on virulence in two other studies . The third type of immu...
15221031_p13
15221031
Other Serial Passage Studies in Malaria
4.251507
biomedical
Study
[ 0.9993532299995422, 0.00034845323534682393, 0.0002983076265081763 ]
[ 0.9991470575332642, 0.0001965658157132566, 0.0005854665068909526, 0.00007092631858540699 ]
en
0.999997
Our data demonstrate that host immunity can increase the potency of inhost selection for higher virulence in malaria. Whether our results generalize to other immunization protocols, parasite clones, parasite species, host genotypes, repeated mosquito passage, and so on requires extensive further experimentation. But, c...
15221031_p14
15221031
Conclusion
4.138462
biomedical
Study
[ 0.9996510744094849, 0.0002157325652660802, 0.00013320197467692196 ]
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en
0.999997
Starting from two separate ancestral lines derived from clone CW (see below), five parasite lines (“sublines”) from each ancestral line were repeatedly passaged in mice (female C57Bl/6J, 7–10 wk old) that were naïve to malaria infection (N-lines), and five from each ancestral line were passaged in immunized mice (I-lin...
15221031_p15
15221031
Selection phase.
4.113912
biomedical
Study
[ 0.9994335770606995, 0.0003613026347011328, 0.00020501393009908497 ]
[ 0.9992609620094299, 0.00032184814335778356, 0.0003446751506999135, 0.00007252312934724614 ]
en
0.999998
Immunization was by infection with 10 4 parasites of a different clone (denoted ER), followed by drug cure with 10 mg/kg of mefloquine for 4 d starting on day 5 PI. Naïve mice were injected with parasite-free media but were not drug treated. Re-infection took place on average 3 wk after the end of drug treatment (range...
15221031_p16
15221031
Selection phase.
4.115658
biomedical
Study
[ 0.9993682503700256, 0.0003950467216782272, 0.00023666561173740774 ]
[ 0.9993413090705872, 0.0003526747168507427, 0.00023636464902665466, 0.00006961810140637681 ]
en
0.999995
The serial passage experiments in this study were replicated using two different starting populations (ancestral lines)—one avirulent (CW-0) and one virulent (CW-A). CW-0 had been cloned by serial dilution from an isolate obtained from its natural host, the thicket rat, Thamnomys rutilans, and then blood passaged every...
15221031_p17
15221031
Selection phase.
4.091252
biomedical
Study
[ 0.9993472695350647, 0.0002537003601901233, 0.0003990273689851165 ]
[ 0.9995542168617249, 0.0002474052307661623, 0.0001516038755653426, 0.00004681555583374575 ]
en
0.999995
All the lines, including the ancestral lines, were transmitted once through Anopheles stephensi mosquitoes by allowing 50–100 mosquitoes aged 2–5 d to take a blood meal for 20–30 min on an anaesthetized gametocytemic mouse that had been inoculated 6–10 d previously, i.e., prior to the peak of infection. Then, 11–12 d l...
15221031_p18
15221031
Selection phase.
4.14347
biomedical
Study
[ 0.9993708729743958, 0.00038079023943282664, 0.0002483772113919258 ]
[ 0.9992491602897644, 0.00037121365312486887, 0.00031016211141832173, 0.0000694578411639668 ]
en
0.999997
After 18 passages, the pretransmission lines were evaluated in two replicate experimental blocks in naïve (generations 19 and 21) and immunized mice (generations 20 and 22). Ancestral lines were only evaluated in generations 21 and 22. This set of trials was denoted the “pretransmission experiments.” In a separate set ...
15221031_p19
15221031
Evaluation phase.
4.123895
biomedical
Study
[ 0.9993467926979065, 0.0004027843533549458, 0.00025046252994798124 ]
[ 0.9994131326675415, 0.0002084485604427755, 0.00031170915463007987, 0.00006677982310066 ]
en
0.999997
Statistical analyses were performed separately for the pretransmission and posttransmission experiments as these were carried out at different times. The virulence measure used for the final analysis was minimum red blood cell density, though other measures of virulence were also analyzed (unpublished data). Since sele...
15221031_p20
15221031
Analysis.
4.184043
biomedical
Study
[ 0.9993433356285095, 0.000339291786076501, 0.00031738411053083837 ]
[ 0.999406099319458, 0.00021698129421565682, 0.0003162022039759904, 0.00006068286165827885 ]
en
0.999998
There is now compelling evidence that a subset of T-cells with regulatory activity suppresses T-cell activation in both mice and humans . Regulatory T-cells (Treg cells) have been shown to inhibit various autoimmune and allergic diseases , mediate transplantation and self-tolerance , and block the activation and prolif...
15252446_p0
15252446
Introduction
4.02304
biomedical
Review
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en
0.999996