Massively parallel single-cell RNA-seq analysis of 26,677 pancreatic islets cells from both healthy and type II diabetic (T2D) donors.
Updated July 19, 2023Massively parallel single-cell RNA-seq technology (Drop-Seq) was applied to analyze the transcriptome of 26,677 pancreatic islets cells from both healthy and type II diabetic (T2D) donors.
Zhou Fang1
Chen Weng1
Haiyan Li1
Ran Tao2
Weihua Mai1
Xiaoxiao Liu1
Leina Lu1
Sisi Lai1
Qing Duan3
Carlos Alvarez1
Peter Arvan4
Anthony Wynshaw-Boris1
Yun Li3
Yanxin Pei5
Fulai Jin1
Yan Li1
1School of Medicine, Case Western Reserve University
2Brain Tumor Institute, Children's National Medical Center
3University of North Carolina
4University of Michigan Medical Center
5Children's National Medical Center
Ami Day
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Analysis Portals
NoneProject Label
HealthyAndDiabeticPancreasSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
pancreas
Organ Part
islet of Langerhans
Selected Cell Types
Unspecified
Disease Status (Specimen)
2 disease statuses
Disease Status (Donor)
2 disease statuses
Development Stage
human adult stage
Library Construction Method
Drop-seq
Nucleic Acid Source
single cell
Paired End
falseFile Format
3 file formats
Cell Count Estimate
39.9kDonor Count
9fastq.gz18 file(s)tar.gz1 file(s)xlsx2 file(s)