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Single-cell transcriptomics reveals unique features of human pancreatic islet cell subtypes

Updated November 16, 2023

We report the single-cell RNA-seq based identification of 6 known human islet cell types (alpha cells, beta cells, delta cells, pp cells, acinar cells and duct cells) based on the expression of known marker genes. We further assess cell type specific gene expression and suggest novel marker genes for several cell types.

Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciencescbock@cemm.oeaw.ac.at
Christoph Bock (Experimental Scientist)1
1CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
Rachel Schwartz
Brittney D Wick

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/78b2406d-bff2-46fc-8b61-20690e602227

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.ftp://ftp-trace.ncbi.nlm.nih.gov/sra/sra-instant/reads/ByStudy/sra/SRP/SRP064/SRP0644644
INSDC Project Accessions:GEO Series Accessions:

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Analysis Portals

None

Project Label

HumanPancreaticIslets

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pancreas

Organ Part

islet of Langerhans

Selected Cell Types

6 cell types

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

Smart-seq2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

MultiSampleSmartSeq2_v2.2.6, SmartSeq2SingleSample_v5.1.5, analysis_protocol_1, analysis_protocol_2

File Format

6 file formats

Cell Count Estimate

45.0k

Donor Count

1
bai72 file(s)bam72 file(s)fastq.gz72 file(s)loom1 file(s)tsv.gz144 file(s)xlsx1 file(s)