Home
 /
Papers
 /
Developmental Biology
 /
A stem cell knockout village reveals lineage rewiring and a non-canonical islet cell fate in monogenic diabetes
Preprint
Open access
V1
Top 1% · Validated by QED

A stem cell knockout village reveals lineage rewiring and a non-canonical islet cell fate in monogenic diabetes

Dingyu Liu, Bicna Song, Zhaoheng Li +20 more
December 2025
 ·
bioRxiv
 ·
DOI 
10.64898/2025.12.23.696311
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Developmental Biology this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

This knockout village platform overturns the prevailing view that monogenic diabetes mutations stall β cell development, instead revealing widespread lineage rewiring toward enterochromaffin-like fates—and identifies ISL1 as the key effector guarding β cell identity.

QED claims analysis

Summary

A knockout village framework profiling 79 mutant hPSC lines across islet differentiation reveals that monogenic diabetes gene mutations actively rewire developmental trajectories toward competing lineages rather than merely arresting differentiation, with multiple diabetes genes (PDX1, RFX6, PAX6) converging on a pathological shift from β cells to enterochromaffin-like cells that can be suppressed by ISL1, establishing lineage rewiring as a widespread pathological mechanism in monogenic diabetes.

See full analysis
Main Claim 1 –

Knockout village enables longitudinal scRNA-seq of 79 hPSC mutants

Main Claim 2 –

Lineage regulator loss impairs β-cell formation stage-specifically

Main Claim 3 –

Lineage regulator loss rewires trajectories toward alternative lineages

Main Claim 4 –

Monogenic diabetes mutations shift β cells to EC-like fate

Supporting evidence

  • SC-EC cells show reduced hormone programs and neuronal signatures
  • ISL1 downstream of PDX1/PAX6 prevents EC-like β-cell fate

Abstract

Genetics studies have identified a core set of regulators essential for pancreatic β cell development, many of which are mutated in monogenic diabetes. However, how these mutations alter developmental trajectories to produce pathological cell states remains elusive. Here we introduce a knockout village framework that enables longitudinal scRNA-seq profiling of 79 human pluripotent stem cell mutant lines targeting 30 developmental regulators, including 15 diabetes genes, across five islet differentiation stages. We show that loss of lineage regulators impairs β cell formation in a stage-specific manner and rewires developmental trajectories towards competing lineages. Notably, several monogenic diabetes gene mutations drive a shift from β cells to enterochromaffin (EC)-like cells, a recently recognized non-canonical islet cell fate. These EC-like cells exhibit incomplete activation of hormone regulation programs, along with elevated neuron signatures. Leveraging the diversity of cell fate outcomes across mutants, we predicted and experimentally validated ISL1 as a key downstream effector of PDX1 and PAX6 that safeguards β cell identity against an EC-like fate. Together, our findings reveal cell fate rewiring as a widespread, previously underappreciated pathological mechanism in monogenic diabetes and establish a scalable platform for uncovering developmental vulnerabilities in human genetic disorders.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?