|
|
A Single-Cell Atlas of Human White Adipose Tissue
|
ca46ffe6-0a26-4d8d-82fa-81722daf1102
|
166,149
|
fe0e718d-2ee9-42cc-894b-0b490f437dfd
|
|
|
A molecular single-cell lung atlas of lethal COVID-19
|
d8da613f-e681-4c69-b463-e94f5e66847f
|
116,313
|
e4c9ed14-e560-4900-a3bf-b0f8d2ce6a10
|
|
|
A multi-tissue single-cell tumor microenvironment atlas
|
b617ee1b-f8c8-4de9-b82b-e803ab93550d
|
391,963
|
3f7c572c-cd73-4b51-a313-207c7f20f188
|
|
|
AIDA Phase 1 Data Freeze v2: Chinese, Indian, Japanese, Korean, Malay, and Thai donors in Japan, Singapore, South Korea, Thailand, and India
|
c838aec3-03ef-4398-b882-0e3912abfff0
|
1,265,624
|
ced320a1-29f3-47c1-a735-513c7084d508
|
|
|
All annotated cells from infection 1
|
2ac76f1b-43ef-4271-8686-2f165570989f
|
48,226
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 2
|
7f7faf6b-f11d-4f07-bc1c-188a4472748d
|
134,076
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 3
|
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
|
125,530
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 4
|
7c497c66-c2e2-4291-8b96-339e5e65f314
|
76,298
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All cell types of human eye
|
e6dad530-418b-47f9-af6e-472e56a7b314
|
100,055
|
939769a8-d8d2-4d01-abfc-55699893fd49
|
|
|
An Integrated Single Cell Meta-atlas of Human Periodontitis
|
9fcb0b73-c734-40a5-be9c-ace7eea401c9
|
105,918
|
71f4bccf-53d4-4c12-9e80-e73bfb89e398
|
|
|
An integrated cell atlas of the human lung in health and disease (full)
|
9f222629-9e39-47d0-b83f-e08d610c7479
|
2,282,447
|
6f6d381a-7701-4781-935c-db10d30de293
|
|
|
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
|
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
|
57,918
|
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
|
|
|
Bronchopulmonary dysplasia
|
d68a8b48-abf0-4bd5-8834-155d34ec448a
|
271,381
|
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
|
|
|
CITEseq of JDM PBMCs
|
a199ca73-035d-44e2-9893-4c493151db21
|
105,827
|
c672834e-c3e3-49cb-81a5-4c844be4a975
|
|
|
COMBAT project: single cell gene expression data from COVID-19, sepsis and flu patient PBMCs
|
ebc2e1ff-c8f9-466a-acf4-9d291afaf8b3
|
836,148
|
8f126edf-5405-4731-8374-b5ce11f53e82
|
|
|
Cellular and transcriptional diversity over the course of human lactation
|
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
|
48,478
|
e77163ca-8214-4e86-8b37-4f65a2ddae13
|
|
|
Cross-sectional
|
3241c34f-581a-4de3-81fe-28e3de182680
|
17,308
|
126afc71-47fb-4e9d-8aaf-9d9f61e0ac77
|
|
|
Fallopian tube samples from pre- and post-menopausal humans
|
0436a180-cb44-47ba-8ffa-807b7a468469
|
131,218
|
380ade76-e561-49a8-afb2-0f10b39c2c72
|
|
|
Frontal cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
|
98f5d518-1e60-4307-b732-ab045cd3cbc2
|
160,658
|
aee9c366-f2fb-470b-8937-577d5d87d3fc
|
|
|
Frontal cortex samples from C9-FTD and age matched control brains
|
3b8b5de4-3aa1-4ac6-8890-8d03c8219981
|
113,106
|
aee9c366-f2fb-470b-8937-577d5d87d3fc
|
|
|
Global
|
1b9d8702-5af8-4142-85ed-020eb06ec4f6
|
329,762
|
62ef75e4-cbea-454e-a0ce-998ec40223d3
|
|
|
Human HYPOMAP single-nucleus data
|
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
|
433,369
|
d0941303-7ce3-4422-9249-cf31eb98c480
|
|
|
Human Microglia 10x scRNA-seq
|
f8d8b443-bca6-4c3c-9042-669dfb7f8030
|
33,041
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Nurr-Negative Nuclei 10x scRNA-seq
|
dea1aa78-c0a2-413f-b375-f91cce49e4d0
|
104,097
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Nurr-Positive Nuclei 10x scRNA-seq
|
92161459-9103-4379-ae34-73a38eee1d1d
|
80,576
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Oligodendrocytes 10x scRNA-seq
|
5829c7ba-697f-418e-8b98-d605b192dc48
|
178,815
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human PBMC Glaucoma Atlas
|
30c2a6fd-d547-460f-a5e7-44c62a2af7ad
|
207,952
|
de2cde16-c8d3-4a6d-80be-1be9e879aaca
|
|
|
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
Human adult ureter
|
3e524d45-2265-4440-b903-3c30d51a0b17
|
30,942
|
af286675-7167-4816-a907-c72d41b73d37
|
|
|
Immune Response mechanisms in the cerebrospinal fluid in leptomeningeal disease at single cell resolution
|
0bf30b02-db97-4560-b9cd-0fe3588892af
|
72,695
|
573e2e06-8af0-4d96-bfdd-7d64a4bb9c21
|
|
|
Immune aging project - all cells
|
1b350d0a-4535-4879-beb6-1142f3f94947
|
1,281,499
|
cc431242-35ea-41e1-a100-41e0dec2665b
|
|
|
Single Cell Sequencing of Human PBMCs in Clonal Hematopoeisis of Indeterminant Potential
|
19e46756-9100-4e01-8b0e-23b557558a4c
|
66,985
|
0aab20b3-c30c-4606-bd2e-d20dae739c45
|
|
|
Single cell RNA sequencing of bone marrow mononuclear cells from healthy donors and B-cell lymphoma patients following CD19 CAR T-cell therapy
|
965386e9-1e4f-466d-bf59-ebdca4b66b9b
|
92,676
|
26b5b4f6-828c-4791-b4a3-abb19e3b1952
|
|
|
Single-cell atlas of peripheral immune response to SARS-CoV-2 infection
|
456e8b9b-f872-488b-871d-94534090a865
|
44,721
|
a72afd53-ab92-4511-88da-252fb0e26b9a
|
|
|
Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease
|
3faad104-2ab8-4434-816d-474d8d2641db
|
1,248,980
|
dde06e0f-ab3b-46be-96a2-a8082383c4a1
|
|
|
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
|
01209dce-3575-4bed-b1df-129f57fbc031
|
51,876
|
24d42e5e-ce6d-45ff-a66b-a3b3b715deaf
|
|
|
Single-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
|
a12ccb9b-4fbe-457d-8590-ac78053259ef
|
304,989
|
0f528c8a-a25c-4840-8fa3-d156fa11086f
|
|
|
Single-nucleus transcriptome data from the dlPFC: Human
|
3c361813-5d5e-4868-bfe5-e7591e7b5381
|
172,120
|
e1fa9900-3fc9-4b57-9dce-c95724c88716
|
|
|
Tabula Sapiens - All Cells
|
53d208b0-2cfd-4366-9866-c3c6114081bc
|
1,136,218
|
e5f58829-1a66-40b5-a624-9046778e74f5
|
|
|
Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
|
6f7fd0f1-a2ed-4ff1-80d3-33dde731cbc3
|
1,395,601
|
1ca90a2d-2943-483d-b678-b809bf464c30
|
|
|
Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
|
c2876b1b-06d8-4d96-a56b-5304f815b99a
|
1,378,211
|
1ca90a2d-2943-483d-b678-b809bf464c30
|
|
|
human endoderm organoid cell atlas
|
6725ee8e-ef5b-4e68-8901-61bd14a1fe73
|
806,646
|
6282a908-f162-44a2-99a3-8a942e4271b2
|
|
|
plaque atlas
|
72955cdb-bd92-4135-aa52-21f33f9640db
|
259,116
|
db70986c-7d91-49fe-a399-a4730be394ac
|
|
|
scRNA-seq of human of the human retinal pigment epithelium and the choroid
|
5ed90bc0-12f3-4354-b314-0ce0dbb96458
|
182,151
|
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
|
|
|
snRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
|
978a566a-dc27-478d-b306-26daba116c1f
|
1,102,250
|
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
|
|
|
snRNA-seq of human of the human retinal pigment epithelium and the choroid - fetal data included
|
1a9f3b38-b86d-416d-bbdc-9058ad3ff42d
|
851,993
|
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
|
|
|
snRNA-seq of human optic nerve and optic nerve head - all cells
|
3c364ffe-d599-44d5-a77f-6c5fd7038cf6
|
959,629
|
05e3d0fc-c9dd-4f14-9163-2b242b3bb5c2
|
|
|
snRNA-seq of human retina - all cells
|
d6505c89-c43d-4c28-8c4f-7351a5fd5528
|
3,177,310
|
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
|
|
|
snRNA-seq of human subcutaneous adipose tissue - all cells
|
821a8e3e-87ec-41ee-bd69-cd4377057d38
|
37,879
|
ba84c7ba-8d8c-4720-a76e-3ee37dc89f0b
|
|
|
snRNA-seq of human visceral adipose tissue - all cells
|
96baf2e0-60c5-48cf-b1d1-cba657851507
|
83,731
|
ba84c7ba-8d8c-4720-a76e-3ee37dc89f0b
|
|
|
thymus scRNA-seq atlas
|
29244e1d-02e6-4133-b411-516ef7474638
|
482,651
|
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
|