|
|
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 Cells
|
16023185-de21-4c0d-a9c8-73abdd52d142
|
370,115
|
4d82bd8e-8827-410b-8fc7-685b7dd92585
|
|
|
All annotated cells from infection 3
|
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
|
125,530
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All cells and nuclei
|
093d3bfe-6f0f-4ac0-a7a1-829f94d0a49f
|
193,108
|
c1241244-b22d-483d-875b-75699efb9f3c
|
|
|
All cells from human cardiac tissue with myocarditis and healthy controls
|
fe7aae33-6f7c-41a5-8d29-9996a9ddf1ab
|
205,596
|
328d71f0-0ed7-4518-966f-be6bd0797324
|
|
|
All cells types from snRNA-seq of human primary sclerosing cholangitis patients and healthy controls
|
1873a18a-66fd-4a4d-8277-a872c93f5b59
|
105,780
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
All donors all cell states (in vivo)
|
74cff64f-9da9-4b2a-9b3b-8a04a1598040
|
325,665
|
e2c257e7-6f79-487c-b81c-39451cd4ab3c
|
|
|
All — Cells of the adult human heart
|
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
|
486,134
|
b52eb423-5d0d-4645-b217-e1c6d38b2e72
|
|
|
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
|
|
|
BCC and Normal - scRNA-seq data
|
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
|
152,189
|
34f12de7-c5e5-4813-a136-832677f98ac8
|
|
|
Bronchopulmonary dysplasia
|
d68a8b48-abf0-4bd5-8834-155d34ec448a
|
271,381
|
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
|
|
|
CAREBANK
|
8f4f8502-9170-4ac2-9707-3b6985ebfe5f
|
221,756
|
8c782494-01ed-491b-97b9-6f0d3b76c676
|
|
|
Cellular and transcriptional diversity over the course of human lactation
|
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
|
48,478
|
e77163ca-8214-4e86-8b37-4f65a2ddae13
|
|
|
Combined single cell and single nuclei RNA-Seq data - Heart Global
|
d567b692-c374-4628-a508-8008f6778f22
|
704,296
|
3116d060-0a8e-4767-99bb-e866badea1ed
|
|
|
DCM/ACM heart cell atlas: All cells
|
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
|
881,081
|
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
|
|
|
Epithelial Compartment
|
ed880090-465d-4477-9d98-70838ca288e3
|
242,613
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
Extended+ - 18485 genes
|
19053a82-9c89-4fb8-bd19-d7b1800b0b7b
|
1,596,200
|
f11cb29c-b546-4738-9bd8-66ea621a7bd5
|
|
|
Fallopian tube RNA
|
90d4a63b-5c02-43eb-acde-c49345681601
|
60,574
|
d36ca85c-3e8b-444c-ba3e-a645040c6185
|
|
|
Figure 1
|
5d3fc988-765d-48ba-bfb5-151ef2988cac
|
49,109
|
7dd599c5-d25d-40c0-b1a6-8789791ca808
|
|
|
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
|
|
|
Fresh samples (single cell)
|
6c87755e-a671-41a8-9c7e-4e43b850a57b
|
157,531
|
a96133de-e951-4e2d-ace6-59db8b3bfb1d
|
|
|
Frozen samples (single nucleus)
|
34f5307e-7b4d-4a48-b68f-2ba844c6414b
|
394,534
|
a96133de-e951-4e2d-ace6-59db8b3bfb1d
|
|
|
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
|
|
|
HBCA - global
|
0ba636a1-4754-4786-a8be-7ab3cf760fd6
|
803,283
|
48259aa8-f168-4bf5-b797-af8e88da6637
|
|
|
HBCC_Cohort
|
5c97eeeb-7e52-44b3-b010-b832b1f5424c
|
1,486,324
|
84ce6837-548d-4a1f-919f-0bc0d9a3952f
|
|
|
Healthy and IFALD pediatric and adult human liver tissue
|
84cfa5aa-a0d1-415e-ac47-eb66c9cf8170
|
81,001
|
ff69f0ee-fef6-4895-9f48-6c64a68c8289
|
|
|
Healthy human liver: integrated
|
ddb22b3d-a75c-4dd1-9730-dff7fc8ca530
|
73,295
|
44531dd9-1388-4416-a117-af0a99de2294
|
|
|
Heart
|
364bd0c7-f7fd-48ed-99c1-ae26872b1042
|
931,012
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Hepatocyte-1 cells from human healthy donor liver samples
|
234c23d0-d6cd-4612-a40d-e5811727564b
|
53,015
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
Hepatocyte-2 cells from human healthy donor liver samples
|
76af615b-12fe-4ebb-b8c6-239ad29e26e3
|
13,635
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
Human dermal fibroblast atlas
|
a19d1667-a7b5-4556-9e5f-f9bfa690c0f1
|
108,440
|
3c4f0970-7614-43de-beb7-6128b3cb74ed
|
|
|
Human healthy adult skin scRNA-seq data
|
f0f0d7c4-3bec-428e-9539-c99d36548d96
|
195,739
|
73f82ac8-15cc-4fcd-87f8-5683723fce7f
|
|
|
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
|
|
|
Interneuron maturation in the human entorhinal cortex
|
72822932-10f6-466f-baf3-a2c1d89364bc
|
20,470
|
cae8bad0-39e9-4771-85a7-822b0e06de9f
|
|
|
MSK SPECTRUM – All cells
|
b252b015-b488-4d5c-b16e-968c13e48a2c
|
927,205
|
4796c91c-9d8f-4692-be43-347b1727f9d8
|
|
|
MSSM_Cohort
|
37a17b78-4864-4a42-b67b-31c00962795a
|
4,140,453
|
84ce6837-548d-4a1f-919f-0bc0d9a3952f
|
|
|
Macrophage cells from human healthy donor liver samples
|
b550fd94-97e0-42e2-90f7-7434781ea2f8
|
11,127
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
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
|
|
|
PERIHEART
|
f1606894-59df-4794-a37f-baa7c6fb6de1
|
392,819
|
8c782494-01ed-491b-97b9-6f0d3b76c676
|
|
|
RADC_Cohort
|
5e57cd50-8e42-42d6-940d-5c1660d06864
|
693,682
|
84ce6837-548d-4a1f-919f-0bc0d9a3952f
|
|
|
Single cell RNA-seq of human heart cells
|
2e9d2f32-4cfb-49b5-b990-cbf4c241214e
|
49,359
|
20eea6c8-9d64-42c9-9b6f-c11b5249e0e9
|
|
|
Single nucleus transcriptomic atlas of human foetal tendon
|
f641d68a-e877-4bb8-afd7-b8fa3921d461
|
91,859
|
7b9ae565-a781-433d-98d4-430394e7802a
|
|
|
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 24 hormone therapy naive localised prostate cancers
|
881e0e6b-a185-45f1-9b56-81606e91e7ff
|
68,322
|
bdac7a53-fe34-4f04-8c46-f9bd5297c099
|
|
|
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 transcriptomic datasets of Renal cell carcinoma patients
|
5af90777-6760-4003-9dba-8f945fec6fdf
|
270,855
|
f7cecffa-00b4-4560-a29a-8ad626b8ee08
|
|
|
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
|
|
|
Skeletal_muscle
|
15d374d6-0dfd-4d8e-ade7-81f73dc921ee
|
201,575
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer
|
68b6114f-e990-4033-bfb3-c35536633aaa
|
24,271
|
16a4f6bc-2457-4e21-9b7a-9ba17c7b66c4
|
|
|
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
|
|
|
Total - Cells of the human intestinal tract mapped across space and time
|
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
|
428,469
|
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
|
|
|
Trabecular Meshwork and Corneal Scleral wedge
|
d967b47c-a9e6-4337-b2f4-977f690cb67f
|
52,309
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Transcriptional responses of the human dorsal striatum in opioid use disorder implicates cell type-specifc programs
|
c893ddc3-f25b-45e2-8c9e-155918b4261c
|
98,848
|
cec4ef8e-1e70-49a2-ae43-1e6bf1fd5978
|
|
|
UMAP of Cancer Data integration
|
7bb64315-9e5a-41b9-9235-59acf9642a3e
|
293,823
|
a18474f4-ff1e-4864-af69-270b956cee5b
|
|
|
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
|
|
|
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
|
|
|
organoid
|
8dc858b0-b076-4326-94bb-7c2d1cd721a3
|
8,556
|
ec329aed-22bc-4d6e-8935-8282dcb1acac
|
|
|
scRNA-seq data - all cells
|
842c6f5d-4a94-4eef-8510-8c792d1124bc
|
714,331
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
scRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease
|
df1edb87-e512-43ae-b5f4-cb179cfc2bb4
|
94,227
|
21bbfaec-6958-46bc-b1cd-1535752f6304
|
|
|
scRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
|
8560f809-5794-484e-9152-b63efa91d134
|
332,995
|
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
|
|
|
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 human of the human retinal pigment epithelium and the choroid
|
5ed90bc0-12f3-4354-b314-0ce0dbb96458
|
182,151
|
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
|
|
|
scRNA-seq of lung biopsies from six human lung transplant cases
|
429d21fd-bb9a-4abf-922b-c15138524bdd
|
108,613
|
9f29fcd0-7075-4420-bd61-e2ec1aebad89
|
|
|
scRNA-seq of vascular tissue
|
43245158-5ae1-4e71-a9a6-67eef49c26bc
|
113,304
|
8f17ac63-aaba-44b5-9b78-60f121da4c2f
|
|
|
snRNA-seq data - all cells
|
7f08cbcc-5790-4576-8478-10e9a999b316
|
117,346
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
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 ocular surface: cornea, limbus, sclera
|
8058d760-09e6-4bdd-86a1-36917ffca3ef
|
147,484
|
0f7d022a-46c7-4e64-be4c-e34adbb78089
|
|
|
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
|
|
|
snRNA-seq of the human quadriceps tendon
|
acd544d0-4d8b-46c7-98b3-fc48f7e6fdb7
|
12,808
|
579203e2-182f-47bc-8230-7aa47247e2a4
|