Evidence map›Paper›PMID 42517345›Full record

ArticleeLife2026

CellCover defines marker gene panels capturing developmental progression in neocortical neural stem cell identity.

Lanlan Ji, An Wang, Shreyash Sonthalia, Seungmae Seo, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni, Donald Geman

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Lanlan Ji *Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.
An Wang *Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0009-0004-3213-0616
Shreyash SonthaliaDepartments of Neurology and Neuroscience, Johns Hopkins University, Baltimore, United States.
Seungmae SeoDepartment of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, United States.ORCID https://orcid.org/0000-0003-2175-6440
Daniel Q NaimanDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.
Laurent YounesDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.
Carlo ColantuoniDepartments of Neurology and Neuroscience, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0000-0001-6818-6380
Donald GemanDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.

Funding

Illuminating Neurodevelopment through Integrated Analysis and Vizualization of Multi-Omic DataR24MH114815 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HERTZANO, RONNA, WHITE, OWEN R · 2018 to 2020
$2.3M
Hardwiring Mechanism into Predicting Cancer Phenotypes by Computational LearningR01CA200859 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARCHIONNI, LUIGI · 2016 to 2020
$1.9M
The gEAR portal - Advancing Data Sharing, Analysis and Discovery for Hearing and Balance ResearchR01DC019370 · NIDCD · UNIVERSITY OF MARYLAND BALTIMORE · PI MAHURKAR, ANUP · 2021 to 2022
$1.5M
Data sharing and visualization via NeMO Analytics R01DC019370Data sharing and visualization via NeMO Analytics R24MH114815National Science Foundation 2124230NCI NIH HHS R01 CA200859NCI NIH HHS R01CA200859NIDCD NIH HHS R01 DC019370NIMH NIH HHS R24 MH114815
6 · The paper itself

Abstract

Defining cell classes is central to the analysis of growing single-cell RNA sequencing (scRNA-seq) atlases. Marker genes are most often identified by differential expression (DE) methods that assess genes one at a time, ignoring the redundancy and complementarity revealed when genes are considered jointly. Working with binarized expression data, we instead seek discriminating

Indexed as

NeocortexNeural Stem CellsNeurogenesisAnimalsBiomarkersGene Expression Regulation, DevelopmentalHumansMiceNeurodevelopmentSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBiomarkershumanmarker genesmouseneocortexneuroscienceprimatesingle-cell RNA-seq

Identifiers

PMID42517345
PMCPMC13412324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.