3-prime FGID data
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
89,849
a064d795-3b77-44ae-9fb5-beb57c567443
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 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 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
Activated PBMCs - Twins scRNA-seq
d7d7e89c-c93a-422d-8958-9b4a90b69558
16,901
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 Cells - snRNA-seq
ac0c6561-7a48-4185-af6f-af799f699172
432,555
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
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 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 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
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
57,918
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
BCC and Normal - scRNA-seq data
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
152,189
34f12de7-c5e5-4813-a136-832677f98ac8
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
CD19-CARpos and CARneg T cells
460dfe21-0550-4521-92fe-db0f3036d8b0
18,122
14dc301f-d4fb-4743-a590-aa88d5f1df1a
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
471647b3-04fe-4c76-8372-3264feb950e8
27,998
793fdaec-5067-428a-a9db-ecefe135c945
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
Colon
2872f4b0-b171-46e2-abc6-befcf6de6306
41,650
7681c7d7-0168-4892-a547-6f02a6430ace
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: Anterior cingulate cortex (ACC)
be401db3-d732-408a-b0c4-71af0458b8ab
135,462
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Body of hippocampus (HiB) - Rostral DG-CA4
715327a6-7978-4896-ba91-69d6b04dbbfb
40,191
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cingulate gyrus, retrosplenial (CgGrs) - A29-A30
a84face4-eb30-4f43-994f-c6a13a097808
34,078
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Inferior temporal gyrus - ITG
1cf24082-59de-4029-ac81-6e398768af3a
29,522
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Middle Temporal Gyrus - MTG
e1f595f6-ba2c-495e-9bee-7056f116b1e4
107,301
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Posterior intermediate orbital gyrus (POrG) - Caudal division of OFCi - A13
d582f63a-3c88-4e38-8cd3-8682dbe40f64
34,919
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: Cerebral cortex (Cx) - Supraparietal lobule (SPL) - Posterosuperior (dorsal) parietal cortex - A5-A7
639ffc23-14db-4060-9027-3c90314200f8
35,290
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Temporal pole (TP) - Temporopolar area - A38
c2aad8fc-b63b-4f9b-9cfd-baf7bc9c1771
37,642
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Extended amygdala (EXA) - Bed nucleus of stria terminalis and nearby - BNST
1b767f95-d0a0-4a3d-b394-cc665d86c3dc
34,933
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Periaqueductal gray and Dorsal raphe nucleus - PAG-DR
c5cfa2b7-abb1-4a50-908f-707b54ca606b
14,094
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 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
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA4-DGC
9f499d32-400d-4c42-ac9a-fb1481844fee
56,367
283d65eb-dd53-496d-adb7-7570c7caa443
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
Fetal Bone Marrow (10x)
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
103,228
793fdaec-5067-428a-a9db-ecefe135c945
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
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-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 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
Global dataset of infant KMT2Ar B-ALL
cf83c98a-3791-4537-bbde-a719f6d73c13
128,588
10ec9198-584e-4a7e-8a24-4a332915a4ef
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
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
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 CellCards Multi-Study CellRef 1.0 Atlas
eb499fd8-7000-419f-8854-926b9b61b11f
347,970
f86d6317-7215-409e-bfda-3f4ded3dadaa
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 Nurr-Positive Nuclei 10x scRNA-seq
92161459-9103-4379-ae34-73a38eee1d1d
80,576
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 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 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
Human muscle cells and nuclei
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
183,161
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
Immune Compartment
5a9cfb44-494a-4540-8db8-7143b1bb5a6f
274,555
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
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
Integration of Day 8 iPSC-Derived Embryoid Bodies with Human Embryo Published Data (10X sc-RNA-seq; Wellington et al. 2024)
589fe605-6d49-4abe-bff8-1675511c689a
41,670
4a2c25af-558a-45fc-bc9a-54ec44a1d63f
Krasnow Lab Human Lung Cell Atlas, 10X
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
65,662
5d445965-6f1a-4b68-ba3a-b8f765155d3a
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
MSSM_Cohort
37a17b78-4864-4a42-b67b-31c00962795a
4,140,453
84ce6837-548d-4a1f-919f-0bc0d9a3952f
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
Non-pregnant Uterus (Endometrium - All)
9ddea8d9-cc4c-420a-90f6-880996f808d4
100,307
32f2fd23-ec74-486f-9544-e5b2f41725f5
Olah et al (2020) Single-cell Human Microglia
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
16,245
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
PERIHEART
f1606894-59df-4794-a37f-baa7c6fb6de1
392,819
8c782494-01ed-491b-97b9-6f0d3b76c676
Paediatric Human Gut (4-14y)
8e47ed12-c658-4252-b126-381df8d52a3d
22,502
17481d16-ee44-49e5-bcf0-28c0780d8c4a
Parkinson's disease
d3cb449b-c2b1-4b50-a7f1-21203535fe61
2,096,155
d5d0df8f-4eee-49d8-a221-a288f50a1590
Placenta Infection
3966ba97-beb8-4d0b-9954-d3775cd2cd61
158,978
5f80428b-222d-450b-a7de-a408186ceb86
Pregnant Uterus (All)
5bc42b88-bb76-4954-927b-8bb7369adc64
70,325
a9254216-6cd8-4186-b32c-349363777584
RADC_Cohort
5e57cd50-8e42-42d6-940d-5c1660d06864
693,682
84ce6837-548d-4a1f-919f-0bc0d9a3952f
SL040
21722308-5091-4b63-9c07-4f116ab9a7b3
135,482
113a558a-e96e-4643-81db-140e95c58578
SL057
145dcf6a-2461-4fa3-a0af-7fc56db0bd33
123,236
113a558a-e96e-4643-81db-140e95c58578
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 cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions - All Human Cells
574e9f9e-f8b4-41ef-bf19-89a9964fd9c7
83,451
4b54248f-2165-477c-a027-dd55082e8818
Single cell transcriptomic profiling identifies molecular phenotypes of newborn human lung cells
6e00ccf7-0749-46ef-a999-dba785630d52
5,499
28e9d721-6816-48a2-8d0b-43bf0b0c0ebc
Single-Cell Transcriptome Profiling of Immature Human Thymocytes
11ff73e8-d3e4-4445-9309-477a2c5be6f6
71,732
83ed3be8-4cb9-43e6-9aaa-3fbbf5d1bd3a
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 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 transcriptomes of the human skin reveal age-related loss of fibroblast priming
124744b8-4681-474a-9894-683896122708
15,457
c353707f-09a4-4f12-92a0-cb741e57e5f0
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
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51,876
24d42e5e-ce6d-45ff-a66b-a3b3b715deaf
Single-nucleus cross-tissue molecular reference maps to decipher disease gene function
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209,126
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Single-nucleus transcriptome data from the dlPFC: Human
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172,120
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Single-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Inhibitory
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23,197
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Sound Life Older Adult Females, CMV-negative
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1,350,748
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Sound Life Older Adult Females, CMV-positive
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2,596,111
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Sound Life Older Adult Males, CMV-negative
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1,750,565
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Sound Life Older Adult Males, CMV-positive
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1,322,061
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Sound Life Young Adult Females, CMV-negative
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2,616,824
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Sound Life Young Adult Females, CMV-positive
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1,234,234
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Sound Life Young Adult Males, CMV-negative
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1,712,244
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Sound Life Young Adult Males, CMV-positive
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1,206,761
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Spleen
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94,256
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Stromal Compartment
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104,032
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Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer
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24,271
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Subpallial germinal zones and the developing human entorhinal cortex
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124,917
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TI immune
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201,072
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TI stromal
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75,695
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
Tabula Sapiens - All Cells
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1,136,218
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The single-cell lung cancer atlas (LuCA) -- extended atlas
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1,283,972
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Total - Cells of the human intestinal tract mapped across space and time
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428,469
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Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies
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82,991
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UMAP of Cancer Data integration
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293,823
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UMAP visualization of all 12 datasets
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15,243
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Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
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1,395,601
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Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
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1,378,211
1ca90a2d-2943-483d-b678-b809bf464c30
all cells
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424,528
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
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20,509
1df8c90d-d299-4b2e-a54d-a5a80f36e780
colon epithelial
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97,788
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
colon immune
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152,509
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
fetal and neonatal human small intestine cells
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36,359
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human cHSPCs - Illumina
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495,763
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human cHSPCs - Ultima
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516,121
5542eeb0-96ef-4ab9-95ea-eb6abc178461
human endoderm organoid cell atlas
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806,646
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human_limb_scRNAseq
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125,955
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immune cells
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35,699
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multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples
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1,263,676
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plaque atlas
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259,116
db70986c-7d91-49fe-a399-a4730be394ac
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
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77,536
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scRNA-seq data - all cells
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714,331
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scRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease
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94,227
21bbfaec-6958-46bc-b1cd-1535752f6304
scRNA-seq of foveal and parafoveal retina
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34,323
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scRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
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332,995
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scRNA-seq of human ocular surface: cornea, limbus, sclera – fetal data included
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815,769
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scRNA-seq of human retina - all cells
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265,767
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
snRNA-seq of all cells in high-risk Neuroblastoma before and after chemotherapy
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372,619
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snRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
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1,102,250
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
snRNA-seq of human ocular surface: cornea, limbus, sclera
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147,484
0f7d022a-46c7-4e64-be4c-e34adbb78089
snRNA-seq of human of the human retinal pigment epithelium and the choroid - fetal data included
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851,993
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snRNA-seq of human retina - all cells
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3,177,310
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
thymus scRNA-seq atlas
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482,651
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
wilms
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4,636
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