Evidence map›Paper›PMID 42282723›Full record

ArticlebioRxiv : the preprint server for biology2026

Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.

Zihan Xu, Aileen Ugurbil, Joshua Kwan, Chloe Schaefer, Abdulraouf Abdulraouf, Ziyu Lu, Erting Tang, Wei Zhou, Junyue Cao

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

5 · Who and what money

Authors and funding

9 authors.

Zihan XuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0008-9317-9279
Aileen UgurbilLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-9450-3092
Joshua KwanLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-3158-7348
Chloe SchaeferLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0008-2913-9352
Abdulraouf AbdulraoufLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4452-4781
Ziyu LuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4321-2727
Erting TangPritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-5348-799X
Wei ZhouLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4236-4091
Junyue CaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4097-489X

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Single cell dynamics on a whole organism scaleDP2HG012522 · NHGRI · ROCKEFELLER UNIVERSITY · PI CAO, JUNYUE · 2021 to 2024
$2.5M
NHGRI NIH HHS DP2 HG012522NHGRI NIH HHS RM1 HG011014NIGMS NIH HHS T32 GM152349
6 · The paper itself

Abstract

Cancer arises from extensive genetic and epigenetic alterations that reshape chromatin, transcriptional regulation, and malignant cell states. To systematically chart cancer-intrinsic regulatory programs, we constructed a pan-cancer single-cell transcriptomic and epigenomic atlas encompassing 60 human cell lines representing 16 tissue origins and 20 cancer types, comprising 240,957 single-nucleus RNA-seq and 223,347 single-nucleus ATAC-seq profiles. Integrative analyses revealed extensive pan-cancer cell-state heterogeneity, core gene-regulatory networks, and a conserved epithelial-mesenchymal transition (EMT) axis that transcends tissue of origin. Copy-number variation analysis identified transcription factor amplification and downstream hyperactivation as key drivers of cancer cell-state reprogramming. To further examine how regulatory programs diverge within a cancer lineage and contribute to clinically divergent outcomes, we performed a focused comparison of cutaneous melanoma with acral melanoma, a rare, UV-independent subtype underrepresented in existing pan-cancer atlases. The comparison uncovered a universal inflammation-suppressive program in acral melanoma and an inflamed regulatory landscape in cutaneous melanoma, with the JAK-STAT pathway and downstream transcriptional responses as central discriminators. Integration of single-cell and bulk datasets across models and patient cohorts further linked in vitro tumor-intrinsic gene regulations with in vivo microenvironmental composition and immunotherapy responses. Together, by extending single-cell multi-omic profiling to rare alongside common cancer subtypes, this atlas offers a resource for mapping pan-cancer and subtype-specific gene-regulatory programs that shape cancer cell-state plasticity.

Identifiers

PMID42282723
PMCPMC13252153

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Registered trials

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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.