|
|
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
|
|
|
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
|
13149914-ea03-4f01-8bf6-b793b667127b
|
1,665,937
|
4d8fed08-2d6d-4692-b5ea-464f1d072077
|
|
|
All cell types of human eye
|
e6dad530-418b-47f9-af6e-472e56a7b314
|
100,055
|
939769a8-d8d2-4d01-abfc-55699893fd49
|
|
|
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 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 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 — Cells of the adult human heart
|
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
|
486,134
|
b52eb423-5d0d-4645-b217-e1c6d38b2e72
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Dissection: Basal nuclei (BN) - Globus pallidus (GP) - Internal segment of globus pallidus - GPi
|
ca20e2ac-5676-4158-b5d0-0c2b15898b19
|
33,968
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Long insular gyri (LIG) - Dysgranular insular cortex - Idg
|
27d91086-cfe3-4e33-9282-bd1246e5ce8e
|
39,696
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Posterior parahippocampal gyrus (PPH) - TH-TL
|
a19b218b-1c0a-4618-b41f-7c216c623ec6
|
40,677
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Rostral gyrus (RoG) - Dorsal division of MFC - A32
|
4d43082e-59cd-43ac-b77d-54d55519c881
|
24,808
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Head of hippocampus (HiH) - Uncal CA1-CA3
|
3f56901c-dd4a-47d6-b60b-7b0c0111cfb2
|
37,911
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA1-CA3
|
d2b5efc1-14c6-4b5f-bd98-40f9084872d7
|
36,886
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Thalamus (THM) - Lateral nuclear complex of thalamus (LNC) - ventral group of lateral nucleus - VLN
|
a7b4f565-691d-43ea-bf4a-d2d1d52bb4b4
|
27,111
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Thalamus (THM) - Subthalamic nucleus and nearby - STH
|
a5b5d1f3-dd8b-44f6-a685-15f0f741c062
|
20,162
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
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
|
|
|
Frozen samples (single nucleus)
|
34f5307e-7b4d-4a48-b68f-2ba844c6414b
|
394,534
|
a96133de-e951-4e2d-ace6-59db8b3bfb1d
|
|
|
Global
|
1b9d8702-5af8-4142-85ed-020eb06ec4f6
|
329,762
|
62ef75e4-cbea-454e-a0ce-998ec40223d3
|
|
|
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
|
|
|
Heart
|
364bd0c7-f7fd-48ed-99c1-ae26872b1042
|
931,012
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Hippocampus
|
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
|
676,845
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
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 dermal fibroblast atlas
|
a19d1667-a7b5-4556-9e5f-f9bfa690c0f1
|
108,440
|
3c4f0970-7614-43de-beb7-6128b3cb74ed
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Liver
|
1d89d081-f43d-401a-be76-bd6ef9259f4e
|
259,678
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Lung
|
2f132ec9-24b5-422f-9be0-ccef03b4fe28
|
39,778
|
6ff3401b-d72c-4940-a00c-3f0792397082
|
|
|
MSK SPECTRUM – All cells
|
b252b015-b488-4d5c-b16e-968c13e48a2c
|
927,205
|
4796c91c-9d8f-4692-be43-347b1727f9d8
|
|
|
Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing
|
ec6ceff8-c8bc-488d-b6bf-30df2fa92169
|
67,110
|
a261413d-835b-4f1e-ab0c-dada55ea6afd
|
|
|
Nasal scRNA-Seq Dataset
|
e3cc5b85-62ec-4add-bee3-73c8fd11e59d
|
34,833
|
af500bec-a5d6-4569-9f50-4314f2e7a011
|
|
|
Second Trimester Human Developing Brain Regions and Cortical Areas
|
ae4f8ddd-cac9-4172-9681-2175da462f2e
|
457,965
|
c8565c6a-01a1-435b-a549-f11b452a83a8
|
|
|
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 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-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
|
a12ccb9b-4fbe-457d-8590-ac78053259ef
|
304,989
|
0f528c8a-a25c-4840-8fa3-d156fa11086f
|
|
|
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 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
|
|
|
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
|
|
|
Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
|
6f7fd0f1-a2ed-4ff1-80d3-33dde731cbc3
|
1,395,601
|
1ca90a2d-2943-483d-b678-b809bf464c30
|
|
|
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
|
|
|
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 human ocular surface: cornea, limbus, sclera – fetal data included
|
8ef06ea4-8d0f-4303-a652-7d4604402b1f
|
815,769
|
0f7d022a-46c7-4e64-be4c-e34adbb78089
|
|
|
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
|