HCA Data Explorer

Generation of human islet cell type-specific identity genesets.

Updated December 22, 2023

Generation of surrogate cells with stable functional identities is crucial for developing cell-based therapies. Efforts to produce insulin-secreting replacement cells to treat diabetes require reliable tools to assess islet cellular identity. Here, we conduct a thorough single-cell transcriptomics meta-analysis to identify robustly expressed markers used to build genesets describing the identity of human α-, β-, γ- and δ-cells. These genesets define islet cellular identities better than previously published genesets. We show their efficacy to outline cell identity changes and unravel some of their underlying genetic mechanisms, whether during embryonic pancreas development or in experimental setups aiming at developing glucose-responsive insulin-secreting cells, such as pluripotent stem-cell differentiation or in adult islet cell reprogramming protocols. These islet cell type-specific genesets represent valuable tools that accurately benchmark gain and loss in islet cell identity traits.

Pedro L HerreraDepartment of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, rue Michel-Servet 1, 1211, Genevapedro.herrera@unige.ch
Léon van Gurp1
Leon Fodoulian2
Daniel Oropeza1
Kenichiro Furuyama1
Eva Bru-Tari1
Anh Nguyet Vu3
John S Kaddis3
Iván Rodríguez2
Fabrizio Thorel1
Pedro L Herrera4
1Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, rue Michel-Servet 1, 1211, Geneva, Switzerland.
2Department of Genetics and Evolution, Faculty of Sciences, University of Geneva, Quai Ernest-Ansermet 30, 1211, Geneva, Switzerland.
3Department of Diabetes & Cancer Discovery Science, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA.
4Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, rue Michel-Servet 1, 1211, Geneva
None

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/7a8d45f1-353b-4508-8e89-65a96785b167

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.https://rapps.hirnetwork.org/scPancMeta2.https://www.gsea-msigdb.org/gsea/msigdb/index.jsp
GEO Series Accessions:

Atlas

None

Analysis Portals

None

Project Label

Herrera-Human-10x3pv3

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pancreas

Organ Part

islet of Langerhans

Selected Cell Types

3 cell types

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

4 file formats

Cell Count Estimate

15.0k

Donor Count

3
fastq.gz12 file(s)mtx.gz3 file(s)tsv.gz6 file(s)xlsx1 file(s)