Understanding human fetal pancreas development using subpopulation sorting and RNA sequencing

To decipher the populations of cells present in the human fetal pancreas and their lineage relationships, we developed strategies to isolate pancreatic progenitors, endocrine progenitors and endocrine cells. Transcriptome analysis of the individual populationsrevealed a large degree of conservation among vertebrates in the drivers of gene expression changes occurring at different steps of differentiation, althoughnotably, sometimes, different members of the same gene family are expressed. The transcriptome analysis establishes a resource to identify novel genes and pathways involved in human pancreas development. Single cell profiling further captured intermediate stages ofdifferentiation and enabled us to decipher the sequence of transcriptional events occurring during human endocrine differentiation. Furthermore, we evaluate how well individual pancreatic cells derived in vitro from human pluripotent stem cells mirror the natural processoccurring in human fetuses. This comparison uncovers a few differences at the progenitor steps, a convergence at the steps of endocrine induction and the current inability to fully resolve endocrine cell subtypes in vitro.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004210	The dataset comprises RNA-seq information of 4 subpopulations sorted from human fetal pancreas of 3 different donors. Low input libraries were generated using the Smart-seq2 protocol after Ampure XP cleanup of the total RNA extracted from the sorted cells. Libraries were multiplexed and sequenced paired-end over 2 lanes of HiSeq4000 each. Raw data was aligned to the human genome refernence GRCh37 using STAR v2.5.1b with GENCODE v19 as transcriptome reference, and unaligned reads were folded into the final uploaded bams.	Illumina HiSeq 4000	12

Publications	Citations
Understanding human fetal pancreas development using subpopulation sorting, RNA sequencing and single-cell profiling. Ramond C, Beydag-Tasöz BS, Azad A, van de Bunt M, Petersen MBK, Beer NL, Glaser N, Berthault C, Gloyn AL, Hansson M, McCarthy MI, Honoré C, Grapin-Botton A, Scharfmann R. Development 145: 2018 dev165480	47
Regulation of multiple signaling pathways promotes the consistent expansion of human pancreatic progenitors in defined conditions. Jarc L, Bandral M, Zanfrini E, Lesche M, Kufrin V, Sendra R, Pezzolla D, Giannios I, Khattak S, Neumann K, Ludwig B, Gavalas A. Elife 12: 2024 RP89962	0