|
|
A molecular single-cell lung atlas of lethal COVID-19
|
d8da613f-e681-4c69-b463-e94f5e66847f
|
116,313
|
e4c9ed14-e560-4900-a3bf-b0f8d2ce6a10
|
|
|
A single-cell and spatially-resolved atlas of human breast cancers
|
9fddb063-056d-4202-8b8a-4b0ee531d3ce
|
100,064
|
dea97145-f712-431c-a223-6b5f565f362a
|
|
|
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
|
|
|
Airway
|
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
|
236,977
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
All annotated cells from infection 1
|
2ac76f1b-43ef-4271-8686-2f165570989f
|
48,226
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 3
|
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
|
125,530
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All cell types of human eye
|
e6dad530-418b-47f9-af6e-472e56a7b314
|
100,055
|
939769a8-d8d2-4d01-abfc-55699893fd49
|
|
|
All cells
|
3dc61ca1-ce40-46b6-8337-f27260fd9a03
|
71,752
|
2d2e2acd-dade-489f-a2da-6c11aa654028
|
|
|
All cells and nuclei
|
093d3bfe-6f0f-4ac0-a7a1-829f94d0a49f
|
193,108
|
c1241244-b22d-483d-875b-75699efb9f3c
|
|
|
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
|
|
|
Bronchial scRNA-Seq Dataset
|
d2bc2703-a9b5-4949-b85d-61da7b9961b1
|
2,075
|
af500bec-a5d6-4569-9f50-4314f2e7a011
|
|
|
Bronchopulmonary dysplasia
|
d68a8b48-abf0-4bd5-8834-155d34ec448a
|
271,381
|
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
|
|
|
Circulating Immune cells -- CV19 infection, vaccination and HC
|
242c6e7f-9016-4048-af70-d631f5eea188
|
189,902
|
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
|
|
|
CortexCultures4Days11DaysInVitro
|
4b83f213-b96b-4c87-a884-9b81faddb194
|
22,370
|
644927a3-456b-4e64-b7cd-76547bfc694d
|
|
|
Developing Human Atlas
|
9968be68-ab65-4a38-9e1a-c9b6abece194
|
155,232
|
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
|
|
|
Epithelial Compartment
|
ed880090-465d-4477-9d98-70838ca288e3
|
242,613
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
Fallopian tube samples from pre- and post-menopausal humans
|
0436a180-cb44-47ba-8ffa-807b7a468469
|
131,218
|
380ade76-e561-49a8-afb2-0f10b39c2c72
|
|
|
Fetal lung + Pan-fetal immune
|
350237e0-9f48-4cbd-9140-3b44495549f3
|
670,749
|
ec329aed-22bc-4d6e-8935-8282dcb1acac
|
|
|
Figure 1 - A cell atlas of human thymic development defines T cell repertoire formation
|
cda2c8cd-be1c-42e5-b2cd-162caa1c4ce7
|
255,901
|
de13e3e2-23b6-40ed-a413-e9e12d7d3910
|
|
|
Full dataset of single-cell RNA-seq profiles from 9 developmental tissues across gestation (4-17 pcw)
|
fd072bc3-2dfb-46f8-b4e3-467cb3223182
|
908,046
|
b1a879f6-5638-48d3-8f64-f6592c1b1561
|
|
|
Global Atlas
|
de5416ef-bbfa-41f3-99d4-01a3554173f5
|
621,200
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
HNOCA Extended: The Human Neural Organoid Atlas
|
d7f5d8d0-6150-48d7-b094-c34286ad11a1
|
1,920,454
|
de379e5f-52d0-498c-9801-0f850823c847
|
|
|
High-Resolution Transcriptomic Landscape of the Human Submandibular Gland
|
4a90bbba-df97-4a28-83ae-7386fe7d9167
|
15,684
|
964581c3-b5ac-494d-9bd4-0dcb6fb058da
|
|
|
Human CellCards Multi-Study CellRef 1.0 Atlas
|
eb499fd8-7000-419f-8854-926b9b61b11f
|
347,970
|
f86d6317-7215-409e-bfda-3f4ded3dadaa
|
|
|
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
Human muscle cells and nuclei
|
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
|
183,161
|
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
|
|
|
Immune aging project - all cells
|
1b350d0a-4535-4879-beb6-1142f3f94947
|
1,281,499
|
cc431242-35ea-41e1-a100-41e0dec2665b
|
|
|
Integrated cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients
|
7b20c613-9add-43d1-87e9-defd3d9b9f8c
|
355,941
|
61e422dd-c9cd-460e-9b91-72d9517348ef
|
|
|
Lung
|
2f132ec9-24b5-422f-9be0-ccef03b4fe28
|
39,778
|
6ff3401b-d72c-4940-a00c-3f0792397082
|
|
|
Nasal scRNA-Seq Dataset
|
e3cc5b85-62ec-4add-bee3-73c8fd11e59d
|
34,833
|
af500bec-a5d6-4569-9f50-4314f2e7a011
|
|
|
Non-pregnant Uterus (Endometrium - All)
|
9ddea8d9-cc4c-420a-90f6-880996f808d4
|
100,307
|
32f2fd23-ec74-486f-9544-e5b2f41725f5
|
|
|
Non-pregnant Uterus (Endometrium - Organoid)
|
76150f40-1989-4977-9e23-696e72d59d9e
|
118,672
|
32f2fd23-ec74-486f-9544-e5b2f41725f5
|
|
|
Oral and Craniofacial Atlas
|
cb252df6-6e49-4553-abd1-495a00006fb1
|
246,103
|
065ad318-59fd-4f8c-b4b1-66caa7665409
|
|
|
PBMC
|
2a498ace-872a-4935-984b-1afa70fd9886
|
422,220
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
Pancreas
|
31f657dc-1875-4c4b-a5ca-ce63b3ef3a82
|
121,916
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Retina
|
d5c67a4e-a8d9-456d-a273-fa01adb1b308
|
19,694
|
3472f32d-4a33-48e2-aad5-666d4631bf4c
|
|
|
Second Trimester Human Developing Brain Regions and Cortical Areas
|
ae4f8ddd-cac9-4172-9681-2175da462f2e
|
457,965
|
c8565c6a-01a1-435b-a549-f11b452a83a8
|
|
|
Single-cell RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes
|
f14bc322-1322-4184-8d16-409557525ea5
|
471,905
|
07e12576-b41b-4350-adfc-059bfc4328ea
|
|
|
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 multi-omics analysis of the immune response in COVID-19
|
c7775e88-49bf-4ba2-a03b-93f00447c958
|
647,366
|
ddfad306-714d-4cc0-9985-d9072820c530
|
|
|
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 cross-tissue molecular reference maps to decipher disease gene function
|
4ed927e9-c099-49af-b8ce-a2652d069333
|
209,126
|
a3ffde6c-7ad2-498a-903c-d58e732f7470
|
|
|
Single-nucleus transcriptome data from the dlPFC: Human
|
3c361813-5d5e-4868-bfe5-e7591e7b5381
|
172,120
|
e1fa9900-3fc9-4b57-9dce-c95724c88716
|
|
|
Sound Life Older Adult Females, CMV-negative
|
3cb646ab-d411-4e5b-89eb-082a786c953b
|
1,350,748
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Young Adult Males, CMV-positive
|
5fde5c9c-5b1e-4df5-982a-3f8e7635161f
|
1,206,761
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Subpallial germinal zones and the developing human entorhinal cortex
|
ecce9688-66ea-4600-98f7-84aed7421c01
|
124,917
|
cae8bad0-39e9-4771-85a7-822b0e06de9f
|
|
|
Tabula Sapiens - All Cells
|
53d208b0-2cfd-4366-9866-c3c6114081bc
|
1,136,218
|
e5f58829-1a66-40b5-a624-9046778e74f5
|
|
|
Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Innate Cells
|
30cd5311-6c09-46c9-94f1-71fe4b91813c
|
125,117
|
ed9185e3-5b82-40c7-9824-b2141590c7f0
|
|
|
Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies
|
d41f45c1-1b7b-4573-a998-ac5c5acb1647
|
82,991
|
efd94500-1fdc-4e28-9e9f-a309d0154e21
|
|
|
Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
|
6f7fd0f1-a2ed-4ff1-80d3-33dde731cbc3
|
1,395,601
|
1ca90a2d-2943-483d-b678-b809bf464c30
|
|
|
all cells
|
cff99df2-4904-44f7-9173-ff837f95606e
|
424,528
|
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
|
|
|
multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples
|
218acb0f-9f2f-4f76-b90b-15a4b7c7f629
|
1,263,676
|
436154da-bcf1-4130-9c8b-120ff9a888f2
|
|
|
scRNA-seq data - all cells
|
842c6f5d-4a94-4eef-8510-8c792d1124bc
|
714,331
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
scRNA-seq of human ocular surface: cornea, limbus, sclera – fetal data included
|
8ef06ea4-8d0f-4303-a652-7d4604402b1f
|
815,769
|
0f7d022a-46c7-4e64-be4c-e34adbb78089
|
|
|
scRNA-seq of lung biopsies from six human lung transplant cases
|
429d21fd-bb9a-4abf-922b-c15138524bdd
|
108,613
|
9f29fcd0-7075-4420-bd61-e2ec1aebad89
|
|
|
snRNA-seq of all cells in high-risk Neuroblastoma before and after chemotherapy
|
afae4675-434d-4e89-b5ce-2854c9dc38a3
|
372,619
|
cee845e3-ec04-4781-9e2a-28734bb4f7ba
|
|
|
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
|
|
|
thymus scRNA-seq atlas
|
29244e1d-02e6-4133-b411-516ef7474638
|
482,651
|
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
|