|
|
66 years old female - Fresh PBMCs (4 days post-intubation)
|
ed9e9f96-4f08-49d2-bef5-b2c29adf3edc
|
5,696
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
A Single-Cell Atlas of Human White Adipose Tissue
|
ca46ffe6-0a26-4d8d-82fa-81722daf1102
|
166,149
|
fe0e718d-2ee9-42cc-894b-0b490f437dfd
|
|
|
A molecular cell atlas of endocrine signalling in human neural organoids
|
64267fb5-7b70-4705-a13b-cc38966c22a8
|
163,714
|
2bebc4ae-69a2-4001-9d2f-091ec9b4020c
|
|
|
A multi-tissue single-cell tumor microenvironment atlas
|
b617ee1b-f8c8-4de9-b82b-e803ab93550d
|
391,963
|
3f7c572c-cd73-4b51-a313-207c7f20f188
|
|
|
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
|
|
|
All
|
13149914-ea03-4f01-8bf6-b793b667127b
|
1,665,937
|
4d8fed08-2d6d-4692-b5ea-464f1d072077
|
|
|
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 cell types of human eye
|
e6dad530-418b-47f9-af6e-472e56a7b314
|
100,055
|
939769a8-d8d2-4d01-abfc-55699893fd49
|
|
|
All cells from human liver dataset
|
e84f2780-51e8-4cfa-8aa0-13bbfef677c7
|
167,598
|
74e10dc4-cbb2-4605-a189-8a1cd8e44d8c
|
|
|
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
|
|
|
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
|
|
|
Bipolar cells of the human fovea and peripheral retina
|
8623d55f-d91c-41c2-ae68-ed2072fd268d
|
25,908
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
Bronchial scRNA-Seq Dataset
|
d2bc2703-a9b5-4949-b85d-61da7b9961b1
|
2,075
|
af500bec-a5d6-4569-9f50-4314f2e7a011
|
|
|
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
|
|
|
CortexCultures4Days11DaysInVitro
|
4b83f213-b96b-4c87-a884-9b81faddb194
|
22,370
|
644927a3-456b-4e64-b7cd-76547bfc694d
|
|
|
DCM/ACM heart cell atlas: All cells
|
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
|
881,081
|
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
|
|
|
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 kidney dataset: full
|
d7dcfd8f-2ee7-4385-b9ac-e074c23ed190
|
27,197
|
120e86b4-1195-48c5-845b-b98054105eec
|
|
|
Figure 1
|
5d3fc988-765d-48ba-bfb5-151ef2988cac
|
49,109
|
7dd599c5-d25d-40c0-b1a6-8789791ca808
|
|
|
Full Dataset
|
0a2d7e87-c3c0-4ed2-86df-ae18811fcc16
|
61,747
|
7c4552fd-8a6d-4da3-9854-2dfa8baca8bf
|
|
|
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
|
|
|
Heart
|
364bd0c7-f7fd-48ed-99c1-ae26872b1042
|
931,012
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Horizontal cells of the human fovea and peripheral retina
|
2f6a20f1-173d-4b8d-860b-c47ffea120fa
|
2,868
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
Krasnow Lab Human Lung Cell Atlas, 10X
|
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
|
65,662
|
5d445965-6f1a-4b68-ba3a-b8f765155d3a
|
|
|
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
|
|
|
Mature kidney dataset: full
|
9ea768a2-87ab-46b6-a73d-c4e915f25af3
|
40,268
|
120e86b4-1195-48c5-845b-b98054105eec
|
|
|
Multiomics single-cell analysis of human pancreatic islets reveals novel cellular states in health and type 1 diabetes
|
37b21763-7f0f-41ae-9001-60bad6e2841d
|
69,645
|
51544e44-293b-4c2b-8c26-560678423380
|
|
|
Occipital cortex samples from C9-FTD and age matched control brains
|
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
|
66,719
|
aee9c366-f2fb-470b-8937-577d5d87d3fc
|
|
|
PERIHEART
|
f1606894-59df-4794-a37f-baa7c6fb6de1
|
392,819
|
8c782494-01ed-491b-97b9-6f0d3b76c676
|
|
|
Pancreas
|
31f657dc-1875-4c4b-a5ca-ce63b3ef3a82
|
121,916
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
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 follicular lymphoma
|
99950e99-2758-41d2-b2c9-643edcdf6d82
|
137,147
|
968834a0-1895-40df-8720-666029b3bbac
|
|
|
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 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-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-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Excitatory
|
85c60876-7f35-40c5-a256-7808d84c6ba5
|
96,129
|
b953c942-f5d8-434f-9da7-e726ba7c1481
|
|
|
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
|
|
|
Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
|
c2876b1b-06d8-4d96-a56b-5304f815b99a
|
1,378,211
|
1ca90a2d-2943-483d-b678-b809bf464c30
|
|
|
all cells
|
cff99df2-4904-44f7-9173-ff837f95606e
|
424,528
|
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|