File size: 12,790 Bytes
0161e74 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 | {
"f72958f5-7f42-4ebb-98da-445b0c6de516": {
"name": "Azimuth meta-analysis of 10 datasets of healthy and diseased human lung",
"url": "https://cellxgene.cziscience.com/e/f72958f5-7f42-4ebb-98da-445b0c6de516.cxg/",
"include_disease": ["normal", "COVID-19"]
},
"d0c12af4-c0e4-4c7b-873a-70752b449689": {
"name": "Stromal cells (all non-immune cells)",
"url": "https://cellxgene.cziscience.com/e/d0c12af4-c0e4-4c7b-873a-70752b449689.cxg/"
},
"804d9a85-665b-45c6-b204-13457fdcc7ac": {
"name": "Megakaryocyte/erythroid cells",
"url": "https://cellxgene.cziscience.com/e/804d9a85-665b-45c6-b204-13457fdcc7ac.cxg/"
},
"6a30bf44-c490-41ac-965b-0bb58432b10a": {
"name": "HSC/progenitor cells",
"url": "https://cellxgene.cziscience.com/e/6a30bf44-c490-41ac-965b-0bb58432b10a.cxg/"
},
"2aa1c93c-4ef3-4e9a-98e7-0bd37933953c": {
"name": "Myeloid cells",
"url": "https://cellxgene.cziscience.com/e/2aa1c93c-4ef3-4e9a-98e7-0bd37933953c.cxg/"
},
"3affa268-8a74-460a-ac9b-a984c0832469": {
"name": "Lymphoid cells",
"url": "https://cellxgene.cziscience.com/e/3affa268-8a74-460a-ac9b-a984c0832469.cxg/"
},
"fd072bc3-2dfb-46f8-b4e3-467cb3223182": {
"name": "Full dataset of single-cell RNA-seq profiles from 9 developmental tissues across gestation (4-17 pcw)",
"url": "https://cellxgene.cziscience.com/e/fd072bc3-2dfb-46f8-b4e3-467cb3223182.cxg/"
},
"48101fa2-1a63-4514-b892-53ea1d3a8657": {
"name": "HSC/immune cells (all hematopoietic-derived cells)",
"url": "https://cellxgene.cziscience.com/e/48101fa2-1a63-4514-b892-53ea1d3a8657.cxg/"
},
"aa633105-e8e5-4dcc-b72d-6da6c191b3e9": {
"name": "NK/T cells",
"url": "https://cellxgene.cziscience.com/e/aa633105-e8e5-4dcc-b72d-6da6c191b3e9.cxg/"
},
"1b9d8702-5af8-4142-85ed-020eb06ec4f6": {
"name": "Global",
"url": "https://cellxgene.cziscience.com/e/1b9d8702-5af8-4142-85ed-020eb06ec4f6.cxg/"
},
"71be997d-ff75-41b9-8a9f-1288c865f921": {
"name": "B cell compartment",
"url": "https://cellxgene.cziscience.com/e/71be997d-ff75-41b9-8a9f-1288c865f921.cxg/"
},
"fe52003e-1460-4a65-a213-2bb1a508332f": {
"name": "Myeloid compartment",
"url": "https://cellxgene.cziscience.com/e/fe52003e-1460-4a65-a213-2bb1a508332f.cxg/"
},
"53d208b0-2cfd-4366-9866-c3c6114081bc": {
"name": "Tabula Sapiens - All Cells",
"url": "https://cellxgene.cziscience.com/e/53d208b0-2cfd-4366-9866-c3c6114081bc.cxg/"
},
"c5d88abe-f23a-45fa-a534-788985e93dad": {
"name": "Tabula Sapiens - Immune",
"url": "https://cellxgene.cziscience.com/e/c5d88abe-f23a-45fa-a534-788985e93dad.cxg/"
},
"ae29ebd0-1973-40a4-a6af-d15a5f77a80f": {
"name": "T & innate lymphoid cells",
"url": "https://cellxgene.cziscience.com/e/ae29ebd0-1973-40a4-a6af-d15a5f77a80f.cxg/"
},
"218acb0f-9f2f-4f76-b90b-15a4b7c7f629": {
"name": "multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples",
"url": "https://cellxgene.cziscience.com/e/218acb0f-9f2f-4f76-b90b-15a4b7c7f629.cxg/",
"include_disease": ["normal"]
},
"3faad104-2ab8-4434-816d-474d8d2641db": {
"name": "Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease",
"url": "https://cellxgene.cziscience.com/e/3faad104-2ab8-4434-816d-474d8d2641db.cxg/"
},
"ebc2e1ff-c8f9-466a-acf4-9d291afaf8b3": {
"name": "COMBAT project: single cell gene expression data from COVID-19, sepsis and flu patient PBMCs",
"url": "https://cellxgene.cziscience.com/e/ebc2e1ff-c8f9-466a-acf4-9d291afaf8b3.cxg/"
},
"2a498ace-872a-4935-984b-1afa70fd9886": {
"name": "PBMC",
"url": "https://cellxgene.cziscience.com/e/2a498ace-872a-4935-984b-1afa70fd9886.cxg/"
},
"c05fb583-eb2f-4e3a-8e74-f9bd6414e418": {
"name": "healthy young bone marrow donor",
"url": "https://cellxgene.cziscience.com/e/c05fb583-eb2f-4e3a-8e74-f9bd6414e418.cxg/"
},
"cd4c96bb-ad66-4e83-ba9e-a7df8790eb12": {
"name": "3 healthy young and 3 healthy old bone marrow donors (Reference sample)",
"url": "https://cellxgene.cziscience.com/e/cd4c96bb-ad66-4e83-ba9e-a7df8790eb12.cxg/"
},
"d3566d6a-a455-4a15-980f-45eb29114cab": {
"name": "blood and bone marrow from a healthy young donor",
"url": "https://cellxgene.cziscience.com/e/d3566d6a-a455-4a15-980f-45eb29114cab.cxg/"
},
"1a2e3350-28a8-4f49-b33c-5b67ceb001f6": {
"name": "Fetal Bone Marrow (10x)",
"url": "https://cellxgene.cziscience.com/e/1a2e3350-28a8-4f49-b33c-5b67ceb001f6.cxg/"
},
"343ff97c-85df-494b-8400-beb937618611": {
"name": "Human Fetal Bone Marrow (CITE-seq)",
"url": "https://cellxgene.cziscience.com/e/343ff97c-85df-494b-8400-beb937618611.cxg/"
},
"471647b3-04fe-4c76-8372-3264feb950e8": {
"name": "CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)",
"url": "https://cellxgene.cziscience.com/e/471647b3-04fe-4c76-8372-3264feb950e8.cxg/"
},
"4c4cd77c-8fee-4836-9145-16562a8782fe": {
"name": "Individual Single-Cell RNA-seq PBMC Data from Lee et al.",
"url": "https://cellxgene.cziscience.com/e/4c4cd77c-8fee-4836-9145-16562a8782fe.cxg/"
},
"db0752b9-f20e-40b8-8997-992f3ae0bb2e": {
"name": "Classical Monocyte sub_clusters of COVID-19 Immune Altas: Integration of 5 public COVID-19 PBMC single-cell datasets",
"url": "https://cellxgene.cziscience.com/e/db0752b9-f20e-40b8-8997-992f3ae0bb2e.cxg/"
},
"e763ed0d-0e5a-4b8e-9514-6da3d9e47956": {
"name": "Platelet sub_clusters of COVID-19 Immune Altas: Integration of 5 public COVID-19 PBMC single-cell datasets",
"url": "https://cellxgene.cziscience.com/e/e763ed0d-0e5a-4b8e-9514-6da3d9e47956.cxg/"
},
"59b69042-47c2-47fd-ad03-d21beb99818f": {
"name": "Individual Single-Cell RNA-seq PBMC Data from Arunachalam et al.",
"url": "https://cellxgene.cziscience.com/e/59b69042-47c2-47fd-ad03-d21beb99818f.cxg/"
},
"d9b4bc69-ed90-4f5f-99b2-61b0681ba436": {
"name": "B Cell/Plasmablast Sub_clusters of COVID-19 Immune Altas: Integration of 5 public COVID-19 PBMC single-cell datasets",
"url": "https://cellxgene.cziscience.com/e/d9b4bc69-ed90-4f5f-99b2-61b0681ba436.cxg/"
},
"96a3f64b-0ee9-40d8-91e9-813ce38261c9": {
"name": "COVID-19 Immune Altas: Integration of 5 public COVID-19 PBMC single-cell datasets",
"url": "https://cellxgene.cziscience.com/e/96a3f64b-0ee9-40d8-91e9-813ce38261c9.cxg/"
},
"bc2a7b3d-f04e-477e-96c9-9d5367d5425c": {
"name": "T Cell and NK Cell Subtypes of COVID-19 Immune Altas: Integration of 5 public COVID-19 PBMC single-cell datasets",
"url": "https://cellxgene.cziscience.com/e/bc2a7b3d-f04e-477e-96c9-9d5367d5425c.cxg/"
},
"055ca631-6ffb-40de-815e-b931e10718c0": {
"name": "Individual Single-Cell RNA-seq PBMC Data from Wilk et al.",
"url": "https://cellxgene.cziscience.com/e/055ca631-6ffb-40de-815e-b931e10718c0.cxg/"
},
"ae5341b8-60fb-4fac-86db-86e49ee66287": {
"name": "Individual Single-Cell RNA-seq PBMC Data from Guo et al.",
"url": "https://cellxgene.cziscience.com/e/ae5341b8-60fb-4fac-86db-86e49ee66287.cxg/"
},
"5e717147-0f75-4de1-8bd2-6fda01b8d75f": {
"name": "Individual Single-Cell RNA-seq PBMC Data from Schulte-Schrepping et al.",
"url": "https://cellxgene.cziscience.com/e/5e717147-0f75-4de1-8bd2-6fda01b8d75f.cxg/"
},
"01ad3cd7-3929-4654-84c0-6db05bd5fd59": {
"name": "Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19",
"url": "https://cellxgene.cziscience.com/e/01ad3cd7-3929-4654-84c0-6db05bd5fd59.cxg/"
},
"ed5d841d-6346-47d4-ab2f-7119ad7e3a35": {
"name": "nygc multimodal pbmc",
"url": "https://cellxgene.cziscience.com/e/ed5d841d-6346-47d4-ab2f-7119ad7e3a35.cxg/"
},
"c7775e88-49bf-4ba2-a03b-93f00447c958": {
"name": "Single-cell multi-omics analysis of the immune response in COVID-19",
"url": "https://cellxgene.cziscience.com/e/c7775e88-49bf-4ba2-a03b-93f00447c958.cxg/"
},
"30cd5311-6c09-46c9-94f1-71fe4b91813c": {
"name": "Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Innate Cells",
"url": "https://cellxgene.cziscience.com/e/30cd5311-6c09-46c9-94f1-71fe4b91813c.cxg/"
},
"c874f155-9bf9-4928-b821-f52c876b3e48": {
"name": "49 years old male - Fresh PBMCs (1 day post-intubation)",
"url": "https://cellxgene.cziscience.com/e/c874f155-9bf9-4928-b821-f52c876b3e48.cxg/"
},
"8a554710-08bc-4005-87cd-da9675bdc2e7": {
"name": "82 years old female - Fresh PBMCs (1 day post-intubation)",
"url": "https://cellxgene.cziscience.com/e/8a554710-08bc-4005-87cd-da9675bdc2e7.cxg/"
},
"881fe679-c6e0-45a3-9427-c4e81be6921f": {
"name": "66 years old female - Fresh PBMCs (2 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/881fe679-c6e0-45a3-9427-c4e81be6921f.cxg/"
},
"eeacb0c1-2217-4cf6-b8ce-1f0fedf1b569": {
"name": "49 years old male - Fresh PBMCs (3 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/eeacb0c1-2217-4cf6-b8ce-1f0fedf1b569.cxg/"
},
"ed9e9f96-4f08-49d2-bef5-b2c29adf3edc": {
"name": "66 years old female - Fresh PBMCs (4 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/ed9e9f96-4f08-49d2-bef5-b2c29adf3edc.cxg/"
},
"01c93cf6-b695-4e30-a26e-121ae8b16a9e": {
"name": "66 years old female - Fresh PBMCs (7 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/01c93cf6-b695-4e30-a26e-121ae8b16a9e.cxg/"
},
"db59611b-42de-4035-93aa-1ed39f38b467": {
"name": "49 years old male - Fresh PBMCs (2 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/db59611b-42de-4035-93aa-1ed39f38b467.cxg/"
},
"ea786a06-5855-48b7-80d7-0313a21a2044": {
"name": "66 years old female - Fresh PBMCs (3 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/ea786a06-5855-48b7-80d7-0313a21a2044.cxg/"
},
"84230ea4-998d-4aa8-8456-81dd54ce23af": {
"name": "74 years old female - Fresh PBMCs (3 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/84230ea4-998d-4aa8-8456-81dd54ce23af.cxg/"
},
"50eb1e23-b8d4-4f76-a184-44e5541fa05a": {
"name": "74 years old female - Fresh PBMCs (8 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/50eb1e23-b8d4-4f76-a184-44e5541fa05a.cxg/"
},
"79ef1959-a6b4-4cac-82ca-30feaec48df1": {
"name": "74 years old female - Fresh PBMCs (7 days post-intubation)",
"url": "https://cellxgene.cziscience.com/e/79ef1959-a6b4-4cac-82ca-30feaec48df1.cxg/"
},
"9dbab10c-118d-496b-966a-67f1763a6b7d": {
"name": "Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients",
"url": "https://cellxgene.cziscience.com/e/9dbab10c-118d-496b-966a-67f1763a6b7d.cxg/"
},
"krasnow_lab_human_lung_cell_atlas_10x-1-remixed": {
"name": "Krasnow Lab Human Lung Cell Atlas, 10X",
"url": "https://cellxgene.cziscience.com/e/krasnow_lab_human_lung_cell_atlas_10x-1-remixed.cxg/"
},
"krasnow_lab_human_lung_cell_atlas_smartseq2-2-remixed": {
"name": "Krasnow Lab Human Lung Cell Atlas, Smart-seq2",
"url": "https://cellxgene.cziscience.com/e/krasnow_lab_human_lung_cell_atlas_smartseq2-2-remixed.cxg/"
},
"c2a461b1-0c15-4047-9fcb-1f966fe55100": {
"name": "Autoimmunity PBMCs",
"url": "https://cellxgene.cziscience.com/e/c2a461b1-0c15-4047-9fcb-1f966fe55100.cxg/"
},
"fa8605cf-f27e-44af-ac2a-476bee4410d3": {
"name": "PBMCs",
"url": "https://cellxgene.cziscience.com/e/fa8605cf-f27e-44af-ac2a-476bee4410d3.cxg/"
},
"Single_cell_atlas_of_peripheral_immune_response_to_SARS_CoV_2_infection": {
"name": "Single-cell atlas of peripheral immune response to SARS-CoV-2 infection",
"url": "https://cellxgene.cziscience.com/e/Single_cell_atlas_of_peripheral_immune_response_to_SARS_CoV_2_infection.cxg/"
},
"human_cell_landscape": {
"name": "Construction of a human cell landscape at single-cell level",
"url": "https://cellxgene.cziscience.com/e/human_cell_landscape.cxg/"
},
"01209dce-3575-4bed-b1df-129f57fbc031": {
"name": "Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease",
"url": "https://cellxgene.cziscience.com/e/01209dce-3575-4bed-b1df-129f57fbc031.cxg/"
},
"5bc42b88-bb76-4954-927b-8bb7369adc64": {
"name": "Pregnant Uterus (All)",
"url": "https://cellxgene.cziscience.com/e/5bc42b88-bb76-4954-927b-8bb7369adc64.cxg/"
},
"de2c780c-1747-40bd-9ccf-9588ec186cee": {
"name": "Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19",
"url": "https://cellxgene.cziscience.com/e/de2c780c-1747-40bd-9ccf-9588ec186cee.cxg/"
}
}
|