Evidence map›Paper›PMID 41256578›Full record

ArticlebioRxiv : the preprint server for biology2025

Cell villages and Dirichlet modeling map human cell fitness genetics.

Chloe Hanson, Tim Derebenskiy, Ana Rodriguez Vega, Yashika S Kamte, Rachel G Fox, Hannah Lambing, Patrick Allard, Harold Pimentel, Michael F Wells

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chloe HansonDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-2728-1434
Tim DerebenskiyDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0002-3000-0880
Ana Rodriguez VegaDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Yashika S KamteDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-4447-9311
Rachel G FoxDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-6265-2256
Hannah LambingDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0002-6308-7871
Patrick AllardInstitute for Society and Genetics, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-7765-1547
Harold PimentelDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-8556-2499
Michael F WellsDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-1367-2565

Funding

The role of autism susceptibility genes in the 16p11.2 locus on the development and function of human stem cell-derived neural cellsR00MH119327 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WELLS, MICHAEL FREDERICK · 2022 to 2024
$747k
Hierarchical modeling and simulation to optimize cell village experimental design and the analysis of scRNA-seq dataF31HG013890 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Chloe C Hanson · 2024 to 2026
$84k
NHGRI NIH HHS F31 HG013890NIMH NIH HHS R00 MH119327
6 · The paper itself

Abstract

The capacity of cells to proliferate and survive is central to development and disease. Assays that measure cell fitness are therefore a cornerstone of biology, but traditional techniques lack donor diversity and have high technical variability that impedes scale and reproducibility. To overcome these barriers, we designed and validated a "cell village"-based fitness screening approach using pooled cultures of 12-39 genetically distinct human neural progenitor cell (NPC) lines. We also developed Townlet to establish a foundational statistical framework based on Dirichlet regression for analyzing proportional data from cell villages. Applying these systems, we identified hyperproliferation in NPCs harboring the autism risk factor chromosome 16p11.2 deletion, mapped common genetic variants near

Indexed as

cell fitnessCell villageDirichlet modelneurotoxicity

Identifiers

PMID41256578
PMCPMC12621864

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.