|
|
49 years old male - Fresh PBMCs (1 day post-intubation)
|
c874f155-9bf9-4928-b821-f52c876b3e48
|
4,603
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
49 years old male - Fresh PBMCs (2 days post-intubation)
|
db59611b-42de-4035-93aa-1ed39f38b467
|
11,574
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
49 years old male - Fresh PBMCs (3 days post-intubation)
|
eeacb0c1-2217-4cf6-b8ce-1f0fedf1b569
|
9,337
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
66 years old female - Fresh PBMCs (2 days post-intubation)
|
881fe679-c6e0-45a3-9427-c4e81be6921f
|
7,097
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
66 years old female - Fresh PBMCs (3 days post-intubation)
|
ea786a06-5855-48b7-80d7-0313a21a2044
|
4,792
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
66 years old female - Fresh PBMCs (4 days post-intubation)
|
ed9e9f96-4f08-49d2-bef5-b2c29adf3edc
|
5,696
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
66 years old female - Fresh PBMCs (7 days post-intubation)
|
01c93cf6-b695-4e30-a26e-121ae8b16a9e
|
3,726
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
74 years old female - Fresh PBMCs (3 days post-intubation)
|
84230ea4-998d-4aa8-8456-81dd54ce23af
|
5,608
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
74 years old female - Fresh PBMCs (4 days post-intubation)
|
cab0bc48-744c-461b-aaf4-7bf2cb7af00d
|
5,080
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
74 years old female - Fresh PBMCs (7 days post-intubation)
|
79ef1959-a6b4-4cac-82ca-30feaec48df1
|
4,846
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
74 years old female - Fresh PBMCs (8 days post-intubation)
|
50eb1e23-b8d4-4f76-a184-44e5541fa05a
|
4,755
|
29f92179-ca10-4309-a32b-d383d80347c1
|
|
|
82 years old female - Fresh PBMCs (1 day post-intubation)
|
8a554710-08bc-4005-87cd-da9675bdc2e7
|
4,232
|
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 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
|
|
|
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 Cells
|
16023185-de21-4c0d-a9c8-73abdd52d142
|
370,115
|
4d82bd8e-8827-410b-8fc7-685b7dd92585
|
|
|
All Cells - snRNA-seq
|
ac0c6561-7a48-4185-af6f-af799f699172
|
432,555
|
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
|
|
|
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 cardiac tissue with myocarditis and healthy controls
|
fe7aae33-6f7c-41a5-8d29-9996a9ddf1ab
|
205,596
|
328d71f0-0ed7-4518-966f-be6bd0797324
|
|
|
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 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 major cell types in adult human retina
|
0129dbd9-a7d3-4f6b-96b9-1da155a93748
|
244,474
|
af893e86-8e9f-41f1-a474-ef05359b1fb7
|
|
|
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
|
|
|
Amacrine cells of the human fovea and peripheral retina
|
5cdbb2ea-c622-466d-9ead-7884ad8cb99f
|
13,607
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
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
|
|
|
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
|
|
|
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
|
471647b3-04fe-4c76-8372-3264feb950e8
|
27,998
|
793fdaec-5067-428a-a9db-ecefe135c945
|
|
|
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
|
|
|
Ciliary Body
|
1196334f-a441-474a-95ee-400780941690
|
34,132
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Circulating Immune cells -- CV19 infection, vaccination and HC
|
242c6e7f-9016-4048-af70-d631f5eea188
|
189,902
|
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
|
|
|
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
|
|
|
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
|
|
|
Developing Human Atlas
|
9968be68-ab65-4a38-9e1a-c9b6abece194
|
155,232
|
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
|
|
|
Dissection: Amygdaloid complex (AMY) - Central nuclear group - CEN
|
7b316f62-7fa0-4b95-bac9-e90866038a85
|
42,699
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Amygdaloid complex (AMY) - corticomedial nuclear group - CMN
|
1185a7d3-a9c1-4280-9ba5-d61895b15cac
|
38,331
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
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: Basal forebrain (BF) - septal nuclei - SEP
|
70e4f35b-c98c-45a1-9aa9-2053b07315dd
|
40,815
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Basal nuclei (BN) - Globus pallidus (GP) - External segment of globus pallidus - GPe
|
18500fcd-9960-49cb-8a8e-7d868dc14efe
|
50,830
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
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: Body of hippocampus (HiB) - Rostral DG-CA4
|
715327a6-7978-4896-ba91-69d6b04dbbfb
|
40,191
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebellum (CB) - Cerebellar deep nuclei - CbDN
|
095940cb-7422-4510-96e2-cbafd961eb88
|
52,045
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Caudal cingulate gyrus (CgGC) - A23
|
e5b1115b-a486-49bb-bda3-8261822836e0
|
35,359
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Frontal agranular insular cortex - FI
|
421e5f54-5de7-425f-b399-34ead0651ce1
|
34,949
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Gyrus rectus (ReG) - Medial orbitofrontal cortex - A14
|
c7856243-c59a-4b70-8ce7-25b94c2d9da1
|
14,352
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Middle frontal gyrus (MFG) - A46
|
db1d2c1b-2ee1-45d5-9d53-69a327cd77e6
|
31,065
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Precentral gyrus (PrCG) - Primary motor cortex - M1C
|
f32c2c13-bb1a-4ffd-a457-60b64ecfa4cb
|
116,576
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Claustrum - Cla
|
31f04740-c712-4c4b-a3f8-55c0506b3034
|
40,165
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Epithalamus - ETH
|
93131426-0124-4ab4-a013-9dfbcd99d467
|
24,327
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Head of hippocampus (HiH) - Tail of Hippocampus (HiT) - Subicular cortex - Sub
|
19b21f40-db42-4a71-a0d6-913e83b17784
|
41,568
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Head of hippocampus (HiH) - Uncal CA1
|
acae7679-d077-461c-b857-ee6ccfeb267f
|
39,147
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Hypothalamus (HTH) - mammillary region of HTH (HTHma) - mammillary nucleus - MN
|
5bc23cb2-8cfc-4960-bab1-c3027fbeefc4
|
28,155
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Midbrain (M) - Substantia Nigra - SN
|
52f18bc3-52d9-487b-bf8f-f0b7aa684b09
|
59,505
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Midbrain (M) - Substantia Nigra, Red Nucleus, and nearby nuclei - SN-RN
|
9ec34295-ab16-47e2-af33-b884143e520b
|
49,110
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Myelencephalon (medulla oblongata) (Mo) - afferent nuclei of cranial nerves in medulla oblongata - MoAN
|
07b1d7c8-5c2e-42f7-9246-26f746cd6013
|
27,210
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Myelencephalon (medulla oblongata) (Mo) - medullary reticular formation (MoRF) & efferent nuclei of cranial nerves in the medulla oblongata (MoEN) - MoRF-MoEN
|
f9034091-2e8f-4ac6-9874-e7b7eb566824
|
23,120
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Myelencephalon (medulla oblongata) (Mo) - precerebellar nuclei (PrCbN) - inferior olive - IO
|
1a018108-b4b6-457b-ba15-046d5e98c169
|
21,534
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Myelencephalon (medulla oblongata) (Mo) - sensory relay nuclei in medulla oblongata - MoSR
|
0ee5ae70-c3f5-473f-bd1c-287f4690ffc5
|
13,623
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Paleocortex (PalCx) - Anterior Olfactory Nucleus - AON
|
f502c312-05dc-4fd4-a762-92a63e92b539
|
31,230
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Pons (Pn) - Pontine Nucleus - PN
|
64f4ad90-a422-400a-944d-4ce0f39594a7
|
33,641
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Pons (Pn) - Pontine reticular formation (PnRF) - parabrachial nuclei - PB
|
f3565fda-499a-4d20-bd92-563c09954c42
|
24,155
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Pons (Pn) - Pontine reticular formation - PnRF
|
7c1c3d47-3166-43e5-9a95-65ceb2d45f78
|
49,512
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Pons (Pn) - efferent nuclei of cranial nerves in pons - PnEN
|
900fdf13-150d-4695-9f8c-4c09105ba2eb
|
47,416
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Primary visual cortex(V1)
|
8d1dd010-5cbc-43fb-83f8-e0de8e8517da
|
241,077
|
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
|
|
|
Dissection: Spinal cord - SpC
|
090da8ea-46e8-40df-bffc-1f78e1538d27
|
24,190
|
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) - lateral nuclear complex of thalamus (LNC) - Pulvinar of thalamus - Pul
|
ecd9230d-c571-4dab-abd3-8b54c74833f0
|
46,453
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Thalamus (THM) - lateral nuclear complex of thalamus (LNC) - lateral posterior nucleus of thalamus + ventral posterior lateral nucleus - LP + VPL
|
fbf173f9-f809-4d84-9b65-ae205d35b523
|
17,660
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Thalamus (THM) - posterior nuclear complex of thalamus (PoN) - medial geniculate nuclei (MG)
|
adda0684-f8ea-4403-b393-2a25607077c4
|
14,226
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Epithelial Compartment
|
ed880090-465d-4477-9d98-70838ca288e3
|
242,613
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
Epithelial bcc and normal_scRNAseq
|
14363b6e-3428-45b0-8704-10fd5d6316df
|
9,841
|
34f12de7-c5e5-4813-a136-832677f98ac8
|
|
|
Extended GBmap
|
56c4912d-2bae-4b64-98f2-af8a84389208
|
1,135,677
|
999f2a15-3d7e-440b-96ae-2c806799c08c
|
|
|
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
|
|
|
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
|
|
|
Fovea - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
|
babbf9f3-f482-45a5-ba76-c41f4c2f503e
|
19,768
|
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
|
|
|
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
|
|
|
Frozen samples (single nucleus)
|
34f5307e-7b4d-4a48-b68f-2ba844c6414b
|
394,534
|
a96133de-e951-4e2d-ace6-59db8b3bfb1d
|
|
|
Full Dataset
|
0a2d7e87-c3c0-4ed2-86df-ae18811fcc16
|
61,747
|
7c4552fd-8a6d-4da3-9854-2dfa8baca8bf
|
|
|
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
|
|
|
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
|
|
|
Hippocampus
|
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
|
676,845
|
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 Astrocytes 10x scRNA-seq
|
07760522-707a-4a1c-8891-dbd1226d6b27
|
33,506
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
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 Microglia 10x scRNA-seq
|
f8d8b443-bca6-4c3c-9042-669dfb7f8030
|
33,041
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Nurr-Negative Nuclei 10x scRNA-seq
|
dea1aa78-c0a2-413f-b375-f91cce49e4d0
|
104,097
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Oligodendrocytes 10x scRNA-seq
|
5829c7ba-697f-418e-8b98-d605b192dc48
|
178,815
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
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 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
|
|
|
Individual Single-Cell RNA-seq PBMC Data from Schulte-Schrepping et al.
|
5e717147-0f75-4de1-8bd2-6fda01b8d75f
|
90,957
|
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
|
|
|
Integrated adult and foetal hearts
|
5500c673-1610-40a0-86d9-64d987ae50e6
|
60,668
|
43b45a20-a969-49ac-a8e8-8c84b211bd01
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Longitudinal
|
5b25a46f-f1cf-4caa-9e10-6ab81dfe9174
|
12,822
|
126afc71-47fb-4e9d-8aaf-9d9f61e0ac77
|
|
|
Lung
|
2f132ec9-24b5-422f-9be0-ccef03b4fe28
|
39,778
|
6ff3401b-d72c-4940-a00c-3f0792397082
|
|
|
Lung Parenchyma
|
2672b679-8048-4f5e-9786-f1b196ccfd08
|
57,019
|
4d74781b-8186-4c9a-b659-ff4dc4601d91
|
|
|
MSK SPECTRUM – All cells
|
b252b015-b488-4d5c-b16e-968c13e48a2c
|
927,205
|
4796c91c-9d8f-4692-be43-347b1727f9d8
|
|
|
MicroPVM - neocortex: Human variation study (HVS)
|
b6e502d7-0d07-408e-a291-91b63af0a40a
|
3,934
|
35928d1c-36fc-4f93-9a8d-0b921ab41745
|
|
|
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Entorhinal Cortex
|
2727d83a-0af0-443a-bff8-58dc7028289a
|
42,528
|
180bff9c-c8a5-4539-b13b-ddbc00d643e6
|
|
|
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Superior frontal gyrus
|
6c600df6-ddca-4628-a8bb-1d6de1e3f9b4
|
63,608
|
180bff9c-c8a5-4539-b13b-ddbc00d643e6
|
|
|
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
|
|
|
Natural killer T cells from human healthy donor liver samples
|
43560d7c-acd6-4ede-830d-c9ffc6cd0862
|
16,665
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
Non-pregnant Uterus (Endometrium - All)
|
9ddea8d9-cc4c-420a-90f6-880996f808d4
|
100,307
|
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
|
|
|
Olah et al (2020) Single-cell Human Microglia
|
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
|
16,245
|
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
|
|
|
Organoid - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
|
7e7f63c5-d964-40be-83de-ecbcccafd233
|
43,857
|
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
|
|
|
Ovarian tissue from donor 5
|
d3d4baff-d142-4f13-acc6-96a4ef6a3e95
|
6,339
|
6686ada5-43a8-40b6-9a05-6894503606db
|
|
|
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
|
|
|
Pancreas
|
31f657dc-1875-4c4b-a5ca-ce63b3ef3a82
|
121,916
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
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
|
|
|
Pregnant Uterus (All)
|
5bc42b88-bb76-4954-927b-8bb7369adc64
|
70,325
|
a9254216-6cd8-4186-b32c-349363777584
|
|
|
SL057
|
145dcf6a-2461-4fa3-a0af-7fc56db0bd33
|
123,236
|
113a558a-e96e-4643-81db-140e95c58578
|
|
|
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 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 nucleus transcriptomic profiling of human healthy hamstring tendon
|
06ef6b36-6c9b-4e10-8a94-d0baf274276e
|
10,533
|
d2684035-a36e-458e-96af-8e37930bfdf6
|
|
|
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 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 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 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
|
|
|
Single-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Inhibitory
|
9813a1d4-d107-459e-9b2e-7687be935f69
|
23,197
|
b953c942-f5d8-434f-9da7-e726ba7c1481
|
|
|
Skeletal_muscle
|
15d374d6-0dfd-4d8e-ade7-81f73dc921ee
|
201,575
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
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
|
|
|
Spatiotemporal analysis of human intestinal development at single-cell resolution: All cells
|
9d5df009-eb76-43a3-b6cd-22017cc53700
|
76,592
|
60358420-6055-411d-ba4f-e8ac80682a2e
|
|
|
Spleen
|
644a578d-ffdc-446b-9679-e7ab4c919c13
|
94,256
|
4d74781b-8186-4c9a-b659-ff4dc4601d91
|
|
|
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
|
|
|
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
|
|
|
Transcriptome of human posterior ocular segment
|
9f1a899f-05a0-44c5-8aa9-39df61ae4324
|
139,978
|
7855daa4-3f34-4aae-b65a-87720c02e7cd
|
|
|
UMAP visualization of all 12 datasets
|
de94c504-4b58-4f42-b68d-74a8e4892f0e
|
15,243
|
6d203948-a779-4b69-9b3f-1ee1dadc3980
|
|
|
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
|
|
|
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
|
|
|
human_limb_scRNAseq
|
e595c979-c2de-4dad-8c02-8334a8e56de6
|
125,955
|
4fefa187-5d14-4f1e-915b-c892ed320aab
|
|
|
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
|
|
|
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 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 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 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
|
|
|
snRNA-seq of the human quadriceps tendon
|
acd544d0-4d8b-46c7-98b3-fc48f7e6fdb7
|
12,808
|
579203e2-182f-47bc-8230-7aa47247e2a4
|
|
|
thymus scRNA-seq atlas
|
29244e1d-02e6-4133-b411-516ef7474638
|
482,651
|
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
|
|
|
white matter - all cells
|
c05e6940-729c-47bd-a2a6-6ce3730c4919
|
45,528
|
9d63fcf1-5ca0-4006-8d8f-872f3327dbe9
|