|
|
10X_5-rep2
|
a82c43bb-a703-446d-aa24-049bf013121f
|
7,750
|
398e34a9-8736-4b27-a9a7-31a47a67f446
|
|
|
66 years old female - Fresh PBMCs (2 days post-intubation)
|
881fe679-c6e0-45a3-9427-c4e81be6921f
|
7,097
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
|
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
|
263,159
|
f6c50495-3361-40ed-a819-fb9644396ed9
|
|
|
A Unique Cellular Organization of Human Distal Airways and Its Disarray in Chronic Obstructive Pulmonary Disease
|
b61a921b-7fa3-4b42-b455-aaaf32447920
|
115,788
|
4f30b962-d49b-4624-a233-64f048cf8632
|
|
|
A molecular cell atlas of endocrine signalling in human neural organoids
|
64267fb5-7b70-4705-a13b-cc38966c22a8
|
163,714
|
2bebc4ae-69a2-4001-9d2f-091ec9b4020c
|
|
|
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
|
|
|
A single-cell and spatially-resolved atlas of human breast cancers
|
9fddb063-056d-4202-8b8a-4b0ee531d3ce
|
100,064
|
dea97145-f712-431c-a223-6b5f565f362a
|
|
|
A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells
|
de985818-285f-4f59-9dbd-d74968fddba3
|
31,696
|
c9706a92-0e5f-46c1-96d8-20e42467f287
|
|
|
A total of 27,092 droplet-based single-nucleus transcriptomes profiled across 11 cell types in the choroid plexus
|
595c9010-99ec-462d-b6a1-2b2fe5407871
|
27,092
|
59c9ecfe-c47d-4a6a-bab0-895cc0c1942b
|
|
|
A total of 38,217 droplet-based single-nucleus transcriptomes profiled across 14 cell types in the frontal cortex
|
2f05ab20-a092-4bab-9276-3e0eb24e3fee
|
38,217
|
59c9ecfe-c47d-4a6a-bab0-895cc0c1942b
|
|
|
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
|
|
|
Activated PBMCs - Expanded cohort CITE-seq
|
3c75a463-6a87-4132-83a8-c3002624394d
|
95,064
|
bf325905-5e8e-42e3-933d-9a9053e9af80
|
|
|
Airway
|
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
|
236,977
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
All
|
13149914-ea03-4f01-8bf6-b793b667127b
|
1,665,937
|
4d8fed08-2d6d-4692-b5ea-464f1d072077
|
|
|
All Cells
|
16023185-de21-4c0d-a9c8-73abdd52d142
|
370,115
|
4d82bd8e-8827-410b-8fc7-685b7dd92585
|
|
|
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
|
|
|
All cells and nuclei
|
093d3bfe-6f0f-4ac0-a7a1-829f94d0a49f
|
193,108
|
c1241244-b22d-483d-875b-75699efb9f3c
|
|
|
All cells from human liver dataset
|
e84f2780-51e8-4cfa-8aa0-13bbfef677c7
|
167,598
|
74e10dc4-cbb2-4605-a189-8a1cd8e44d8c
|
|
|
All cells type from five healthy donors
|
8f3e7fcf-0b16-4a29-a5f1-a7a8b267d689
|
50,992
|
ab6823e0-506e-461b-b1f9-d30e69a01687
|
|
|
All cells types from scRNA-seq of human primary sclerosing cholangitis patients and healthy controls
|
02792605-4760-4023-82ad-40fc4458a5db
|
89,637
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
All — Cells of the adult human heart
|
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
|
486,134
|
b52eb423-5d0d-4645-b217-e1c6d38b2e72
|
|
|
All-snRNA-Spatial multi-omic map of human myocardial infarction
|
1c739a3e-c3f5-49d5-98e0-73975e751201
|
191,795
|
8191c283-0816-424b-9b61-c3e1d6258a77
|
|
|
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
|
|
|
Astro - neocortex: Human variation study (HVS)
|
ea95cdd5-cf7e-4d5d-a0bd-032776d32ae5
|
16,319
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
BCC and Normal - scRNA-seq data
|
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
|
152,189
|
34f12de7-c5e5-4813-a136-832677f98ac8
|
|
|
Bipolar cells of the human fovea and peripheral retina
|
8623d55f-d91c-41c2-ae68-ed2072fd268d
|
25,908
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
Bone marrow organoids (BMO)
|
78c62d4e-abf1-405b-bb51-368720814529
|
31,040
|
59cd85c5-3b22-4035-b628-2a20810ad54b
|
|
|
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
|
|
|
CD19-CARpos and CARneg T cells
|
460dfe21-0550-4521-92fe-db0f3036d8b0
|
18,122
|
14dc301f-d4fb-4743-a590-aa88d5f1df1a
|
|
|
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
|
|
|
Colon
|
2872f4b0-b171-46e2-abc6-befcf6de6306
|
41,650
|
7681c7d7-0168-4892-a547-6f02a6430ace
|
|
|
Combined human neural dataset
|
b62f728b-a7eb-4889-8162-b3d457de93b9
|
43,485
|
847fafc3-41a1-4a0d-9461-0328c88e9b13
|
|
|
Combined samples
|
576f193c-75d0-4a11-bd25-8676587e6dc2
|
147,137
|
62e8f058-9c37-48bc-9200-e767f318a8ec
|
|
|
Combined single cell and single nuclei RNA-Seq data - Heart Global
|
d567b692-c374-4628-a508-8008f6778f22
|
704,296
|
3116d060-0a8e-4767-99bb-e866badea1ed
|
|
|
Developing Human Atlas
|
9968be68-ab65-4a38-9e1a-c9b6abece194
|
155,232
|
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
|
|
|
Dissection: Angular gyrus (AnG)
|
f5b0810c-1664-4a62-ad06-be1d9964aa8b
|
110,752
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Dissection: Anterior cingulate cortex (ACC)
|
be401db3-d732-408a-b0c4-71af0458b8ab
|
135,462
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Dissection: Primary auditory cortex(A1)
|
e2808a6e-e2ea-41b9-b38c-4a08f1677f02
|
139,054
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Dissection: Primary somatosensory cortex (S1)
|
93cb76aa-a84b-4a92-8e6c-66a914e26d4c
|
153,159
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Dissection: Primary visual cortex(V1)
|
8d1dd010-5cbc-43fb-83f8-e0de8e8517da
|
241,077
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Endo - neocortex: Human variation study (HVS)
|
4859642c-d155-437b-adf5-83ca6c1bef67
|
582
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
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
|
|
|
Fallopian tube samples from pre- and post-menopausal humans
|
0436a180-cb44-47ba-8ffa-807b7a468469
|
131,218
|
380ade76-e561-49a8-afb2-0f10b39c2c72
|
|
|
Fetal Bone Marrow (10x)
|
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
|
103,228
|
793fdaec-5067-428a-a9db-ecefe135c945
|
|
|
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
|
|
|
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
|
|
|
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
|
1b9d8702-5af8-4142-85ed-020eb06ec4f6
|
329,762
|
62ef75e4-cbea-454e-a0ce-998ec40223d3
|
|
|
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
|
|
|
HNOCA Extended: The Human Neural Organoid Atlas
|
d7f5d8d0-6150-48d7-b094-c34286ad11a1
|
1,920,454
|
de379e5f-52d0-498c-9801-0f850823c847
|
|
|
Healthy and IFALD pediatric and adult human liver tissue
|
84cfa5aa-a0d1-415e-ac47-eb66c9cf8170
|
81,001
|
ff69f0ee-fef6-4895-9f48-6c64a68c8289
|
|
|
Hepatocyte-1 cells from human healthy donor liver samples
|
234c23d0-d6cd-4612-a40d-e5811727564b
|
53,015
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
Human DA Neurons 10x scRNA-seq
|
2856d06c-0ff9-4e01-bfc9-202b74d0b60f
|
22,048
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Endothelial cells 10x scRNA-seq
|
f5be4b96-f5a3-4c3d-84ac-6f69daf744d5
|
14,903
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Fetal Bone Marrow (CITE-seq)
|
343ff97c-85df-494b-8400-beb937618611
|
8,978
|
793fdaec-5067-428a-a9db-ecefe135c945
|
|
|
Human Fetal Retina Atlas
|
aecc2743-4ff2-4b55-ac8c-a1ff76fc4bb4
|
108,838
|
c11009b8-b113-4a99-9890-78b2f9df9d79
|
|
|
Human HYPOMAP single-nucleus data
|
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
|
433,369
|
d0941303-7ce3-4422-9249-cf31eb98c480
|
|
|
Human Immune Health Atlas
|
e522d2cd-7927-4e59-a4ed-064009569279
|
1,821,725
|
77f9d7e9-5675-49c3-abed-ce02f39eef1b
|
|
|
Human Non-DA Neurons 10x scRNA-seq
|
251b1a7e-d050-4486-8d50-4c2619eb0f46
|
91,479
|
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 PBMC Glaucoma Atlas
|
30c2a6fd-d547-460f-a5e7-44c62a2af7ad
|
207,952
|
de2cde16-c8d3-4a6d-80be-1be9e879aaca
|
|
|
Human Trophoblast Organoids
|
b7efc0ba-9136-4f3f-adb2-d07849e59a3d
|
67,996
|
257ce7fb-ab27-4772-8a06-9fe8385816b2
|
|
|
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
|
|
|
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 kidney cortex snRNA-seq data from donors with and without diabetic kidney disease
|
e067e5ca-e53e-485f-aa8e-efd5435229c8
|
39,176
|
b3e2c6e3-9b05-4da9-8f42-da38a664b45b
|
|
|
Human lymph node slices cultured with and without ex vivo stimulation by liposomal TLR4 and QS-21 adjuvant
|
e7bd68ab-df49-44df-9b1e-8486114aeeb5
|
109,297
|
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
|
|
|
Human lymph nodes with partial T and B cell depletion
|
edbfa04a-f1dd-496a-8237-df11d70621ca
|
77,525
|
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
|
|
|
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
|
|
|
Individual Single-Cell RNA-seq PBMC Data from Arunachalam et al.
|
59b69042-47c2-47fd-ad03-d21beb99818f
|
49,139
|
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
|
|
|
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
|
|
|
Integrated transcriptomes of the 14 pancreatic islet cell types
|
e51bae9a-c747-4b64-904a-4da7cda218ab
|
245,878
|
58e85c2f-d52e-4c19-8393-b854b84d516e
|
|
|
Interneuron maturation in the human entorhinal cortex
|
72822932-10f6-466f-baf3-a2c1d89364bc
|
20,470
|
cae8bad0-39e9-4771-85a7-822b0e06de9f
|
|
|
Intratumoral heterogeneity in recurrent pediatric pilocytic astrocytomas
|
be884a28-0eac-4eca-9c23-1294a93cf56e
|
35,637
|
10bf5c50-8d85-4c5f-94b4-22c1363d9f31
|
|
|
Krasnow Lab Human Lung Cell Atlas, 10X
|
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
|
65,662
|
5d445965-6f1a-4b68-ba3a-b8f765155d3a
|
|
|
L23IT - neocortex: Human variation study (HVS)
|
1fc48734-35ee-4372-885c-95fd2674c75a
|
79,631
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
L56NP - neocortex: Human variation study (HVS)
|
0de831e0-a525-4ec5-b717-df56f2de2bf0
|
6,133
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
L6IT - neocortex: Human variation study (HVS)
|
1a974af7-8b4b-4abb-8aba-23e2979d9518
|
16,668
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Lamp5 - neocortex: Human variation study (HVS)
|
d5a2d011-3765-4dad-ac36-3fff087589fe
|
8,093
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients
|
9dbab10c-118d-496b-966a-67f1763a6b7d
|
1,462,702
|
0a839c4b-10d0-4d64-9272-684c49a2c8ba
|
|
|
MSK SPECTRUM – All cells
|
b252b015-b488-4d5c-b16e-968c13e48a2c
|
927,205
|
4796c91c-9d8f-4692-be43-347b1727f9d8
|
|
|
Mature kidney dataset: full
|
9ea768a2-87ab-46b6-a73d-c4e915f25af3
|
40,268
|
120e86b4-1195-48c5-845b-b98054105eec
|
|
|
MicroPVM - neocortex: Human variation study (HVS)
|
b6e502d7-0d07-408e-a291-91b63af0a40a
|
3,934
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
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
|
|
|
OPC - neocortex: Human variation study (HVS)
|
31285bcd-9a28-48ce-8cc0-543af80261d3
|
11,244
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Occipital cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
|
0bc7235a-ae5a-479d-a487-510435377e55
|
120,807
|
aee9c366-f2fb-470b-8937-577d5d87d3fc
|
|
|
Occipital cortex samples from C9-FTD and age matched control brains
|
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
|
66,719
|
aee9c366-f2fb-470b-8937-577d5d87d3fc
|
|
|
Oligo - neocortex: Human variation study (HVS)
|
e34f3f89-3a48-4173-a06a-9e9803f2e2b9
|
57,855
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Oral and Craniofacial Atlas
|
cb252df6-6e49-4553-abd1-495a00006fb1
|
246,103
|
065ad318-59fd-4f8c-b4b1-66caa7665409
|
|
|
Organoid
|
4023a2bc-6325-47db-bfdf-9639e91042c2
|
70,495
|
2d2e2acd-dade-489f-a2da-6c11aa654028
|
|
|
Ovarian tissue from donor 3
|
a9bedd04-51cb-42ad-83fe-cd749de71f1b
|
7,571
|
6686ada5-43a8-40b6-9a05-6894503606db
|
|
|
PBMC
|
2a498ace-872a-4935-984b-1afa70fd9886
|
422,220
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
PBMCs
|
fa8605cf-f27e-44af-ac2a-476bee4410d3
|
59,506
|
0434a9d4-85fd-4554-b8e3-cf6c582bb2fa
|
|
|
PERIHEART
|
f1606894-59df-4794-a37f-baa7c6fb6de1
|
392,819
|
8c782494-01ed-491b-97b9-6f0d3b76c676
|
|
|
Pax6 - neocortex: Human variation study (HVS)
|
78f40dd6-ed22-470d-8547-6fb5746c25da
|
1,465
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Periphery - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
|
ccfdcad0-7104-46b9-addf-fd66a2a15907
|
34,723
|
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
|
|
|
Pvalb - neocortex: Human variation study (HVS)
|
4e374783-0152-423e-bcb6-b87cc232f64d
|
19,711
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Second Trimester Human Developing Brain Regions and Cortical Areas
|
ae4f8ddd-cac9-4172-9681-2175da462f2e
|
457,965
|
c8565c6a-01a1-435b-a549-f11b452a83a8
|
|
|
Sex-Specific Control of Human Heart Maturation by the Progesterone Receptor.
|
99e317c0-1fab-4f73-b511-859e752fd1c3
|
51,176
|
68e7e5b7-4dc9-4609-832e-7656aa6182ba
|
|
|
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 follicular lymphoma
|
99950e99-2758-41d2-b2c9-643edcdf6d82
|
137,147
|
968834a0-1895-40df-8720-666029b3bbac
|
|
|
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 RNA-seq of the Adult Human Kidney (Version 1.5)
|
dea717d4-7bc0-4e46-950f-fd7e1cc8df7d
|
225,177
|
0f528c8a-a25c-4840-8fa3-d156fa11086f
|
|
|
Single-cell analysis of prenatal and postnatal human cortical development
|
1a38e762-2465-418f-b81c-6a4bce261c34
|
709,372
|
bacccb91-066d-4453-b70e-59de0b4598cd
|
|
|
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 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 multi-omics analysis of the immune response in COVID-19
|
c7775e88-49bf-4ba2-a03b-93f00447c958
|
647,366
|
ddfad306-714d-4cc0-9985-d9072820c530
|
|
|
Single-cell reconstruction of follicular remodeling in the human adult ovary
|
1f1c5c14-5949-4c81-b28e-b272e271b672
|
20,676
|
2902f08c-f83c-470e-a541-e463e25e5058
|
|
|
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
|
|
|
Sncg - neocortex: Human variation study (HVS)
|
390b376d-8857-4b4b-991f-0d7326938172
|
4,112
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Sound Life Older Adult Females, CMV-negative
|
3cb646ab-d411-4e5b-89eb-082a786c953b
|
1,350,748
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Older Adult Females, CMV-positive
|
aa32098f-f7b0-43f2-a00a-601d190aae94
|
2,596,111
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Older Adult Males, CMV-negative
|
47e00f43-6176-44a5-b4d1-f88a1920fcab
|
1,750,565
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Older Adult Males, CMV-positive
|
0c0c49a2-b96b-432f-98a4-1decf9929149
|
1,322,061
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Young Adult Females, CMV-negative
|
46104f0b-9af5-466a-ae0f-56b8dc1969a2
|
2,616,824
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Young Adult Females, CMV-positive
|
0a8e3443-c3e2-4918-84db-0495657d9175
|
1,234,234
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
Sound Life Young Adult Males, CMV-negative
|
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
|
1,712,244
|
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
|
|
|
Spatiotemporal analysis of human intestinal development at single-cell resolution: All cells
|
9d5df009-eb76-43a3-b6cd-22017cc53700
|
76,592
|
60358420-6055-411d-ba4f-e8ac80682a2e
|
|
|
Sst - neocortex: Human variation study (HVS)
|
3079e9b0-c6db-45c8-b998-a4555a73968e
|
28,943
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Subpallial germinal zones and the developing human entorhinal cortex
|
ecce9688-66ea-4600-98f7-84aed7421c01
|
124,917
|
cae8bad0-39e9-4771-85a7-822b0e06de9f
|
|
|
TI epithelial
|
fe4b89d5-461e-440c-a5a8-621b37b122c0
|
154,136
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
TI immune
|
a37f857c-779f-464e-9310-3db43a1811e7
|
201,072
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
TI stromal
|
0f4865d5-8000-4f68-8ac7-f5efea9e5e70
|
75,695
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
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: Adaptive Cells
|
21d3e683-80a4-4d9b-bc89-ebb2df513dde
|
246,964
|
ed9185e3-5b82-40c7-9824-b2141590c7f0
|
|
|
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
|
|
|
Total - Cells of the human intestinal tract mapped across space and time
|
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
|
428,469
|
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
|
|
|
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
|
|
|
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
|
|
|
Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19
|
01ad3cd7-3929-4654-84c0-6db05bd5fd59
|
600,929
|
7d7cabfd-1d1f-40af-96b7-26a0825a306d
|
|
|
UMAP of Cancer Data integration
|
7bb64315-9e5a-41b9-9235-59acf9642a3e
|
293,823
|
a18474f4-ff1e-4864-af69-270b956cee5b
|
|
|
Vip - neocortex: Human variation study (HVS)
|
93091496-be48-4122-b945-9af9c22a7535
|
28,718
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
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
|
|
|
colon epithelial
|
5ce42b38-d867-487f-9b40-e8bb00b21d0b
|
97,788
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
colon immune
|
518d9049-2a76-44f8-8abc-1e2b59ab5ba1
|
152,509
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
fetal and neonatal human small intestine cells
|
3f32121d-126b-4e8d-9f69-d86502d2a1b1
|
36,359
|
7651ac1a-f947-463a-9223-a9e408a41989
|
|
|
human cHSPCs - Illumina
|
d9f3a82c-24bb-4277-b715-8ec92a33dd32
|
495,763
|
5542eeb0-96ef-4ab9-95ea-eb6abc178461
|
|
|
human cHSPCs - Ultima
|
4a5b00e0-1ba3-4fd4-af89-d3512eb20720
|
516,121
|
5542eeb0-96ef-4ab9-95ea-eb6abc178461
|
|
|
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
|
|
|
plaque atlas
|
72955cdb-bd92-4135-aa52-21f33f9640db
|
259,116
|
db70986c-7d91-49fe-a399-a4730be394ac
|
|
|
progressive_plasticity_during_crc_metastasis_epithelial
|
829a3cd1-a466-49f1-b2e9-d3f6b7f392e2
|
47,107
|
1cbfb478-2c7f-4d15-b522-9f74e9fe52a8
|
|
|
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
|
b693123e-95e6-4331-8b50-f367489a767e
|
77,536
|
fc77d2ae-247d-44d7-aa24-3f4859254c2c
|
|
|
scRNA-seq data - all cells
|
842c6f5d-4a94-4eef-8510-8c792d1124bc
|
714,331
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
scRNA-seq of foveal and parafoveal retina
|
f5be9ed2-5d41-4a52-91e4-4ff24ff84900
|
34,323
|
e9c73b68-e980-49c2-8d0d-1c9cab21507e
|
|
|
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 human retina - all cells
|
be41a86a-b606-4b1c-8055-32f334898775
|
265,767
|
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
|
|
|
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 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
|
|
|
thymus scRNA-seq atlas
|
29244e1d-02e6-4133-b411-516ef7474638
|
482,651
|
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
|