Evidence map›Paper›PMID 42182302›Full record

ArticlebioRxiv : the preprint server for biology2026

Intrinsic coordination of dynamic molecular signatures shape the human prefrontal cortex.

Patricia R Nano, Daniel C Jaklic, Vanna Giang, Jose A Soto, Jessenya Mil, Sean Wang, Antoni Martija, Brittney Wick, Maximilian Haeussler, Aparna Bhaduri

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Patricia R NanoDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0002-5507-2656
Daniel C JaklicDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0009-0007-6966-5632
Vanna GiangDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jose A SotoDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0002-2246-8961
Jessenya MilDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0002-3040-0211
Sean WangDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Antoni MartijaDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0003-4293-6002
Brittney WickGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
Maximilian HaeusslerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-8721-8253
Aparna BhaduriDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0003-4625-6899

Funding

A Multidisciplinary Center for Developing Human and Non-human Primate Brain Cell AtlasesUM1MH130991 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Hao Huang, ARNOLD KRIEGSTEIN · 2022 to 2026
$25.2M
The UCSC Genome BrowserU24HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Maximilian Haeussler · 2022 to 2026
$17.6M
Elucidating Regulation of Cell Fate Specification in Human Cortical Development to Understand Etiology of Neurodevelopment DisordersR01MH132689 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aparna Bhaduri · 2024 to 2026
$2.1M
A visualization interface for BRAIN single cell data, integrating transcriptomics, epigenomics and spatial assaysRF1MH132662 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAEUSSLER, MAXIMILIAN · 2023 to 2023
$866k
Understanding Brain Development Through the Lens of MetabolismR00NS111731 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BHADURI, APARNA · 2021 to 2023
$738k
NHGRI NIH HHS U24 HG002371NIMH NIH HHS R01 MH132689NIMH NIH HHS RF1 MH132662NIMH NIH HHS UM1 MH130991NINDS NIH HHS R00 NS111731
6 · The paper itself

Abstract

The cerebral cortex drives human cognition through the coordinated activity of discrete cortical areas, each harboring specialized molecular, structural and functional characteristics. Central to this organization is the prefrontal cortex (PFC), a hub for executive function that displays disproportionate expansion in humans and selective vulnerability to neurodevelopmental disorders. Previous work has identified a collection of PFC-enriched marker genes with dynamic expression trajectories, and re-analysis of these datasets converge these markers into 18 distinct molecular signatures of spatiotemporal PFC identity. However, the intrinsic gene networks that coordinate these molecular signatures to shape the human PFC remains unclear. Through pooled CRISPR activation screens in human primary cortical tissues, we have evaluated the ability of PFC-enriched transcription factors to intrinsically pattern PFC molecular identity. Our screens identify novel roles for the neurogenesis regulator, YBX1, in the activation of human PFC fate. In parallel screens and knock-down experiments in human cortical organoids, we define how YBX1 acts in concert with other PFC determinants to activate molecular signatures of PFC identity. Our findings support a model in which PFC patterning is orchestrated by cohorts of intrinsic determinants that initiate, potentiate, and modulate PFC gene signatures, conferring robustness to the development of the human PFC.

Identifiers

PMID42182302
PMCPMC13192659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.