Evidence map›Paper›PMID 34017141›Full record

ArticleNature biotechnology2021

Integrative single-cell analysis of allele-specific copy number alterations and chromatin accessibility in cancer.

Chi-Yun Wu, Billy T Lau, Heon Seok Kim, Anuja Sathe, Susan M Grimes, Hanlee P Ji, Nancy R Zhang

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.7field-weighted citation impact, top 3% of its field
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

53 citing papers in PubMed, 75 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Chi-Yun WuGraduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
Billy T LauDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Heon Seok KimDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5981-3511
Anuja SatheDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2100-0013
Susan M GrimesDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1144-4128
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. genomics_ji@stanford.edu.ORCID http://orcid.org/0000-0003-3772-3424
Nancy R ZhangGraduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA. nzh@wharton.upenn.edu.ORCID http://orcid.org/0000-0002-0880-5749
Stanford University · USStanford Medicine · USUniversity of Pennsylvania · USWilliam P. Wharton Trust · US

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Data Analysis UnitU2CCA233285 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI TAN, KAI · 2018 to 2023
$13.2M
Radiation and checkpoint blockade for cancer immune therapyP01CA210944 · NCI · UNIVERSITY OF PENNSYLVANIA · PI VONDERHEIDE, ROBERT H · 2017 to 2022
$11.5M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
Integrated Genomic Discovery and Functional Validation of Colorectal Cancer LociU01CA151920 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P, KUO, CALVIN J · 2011 to 2015
$2.6M
Omics information maximization in single-cell sequencing with hybrid molecular and computational approachesR35HG011292 · NHGRI · STANFORD UNIVERSITY · PI LAU, BILLY TSZ CHEONG · 2020 to 2024
$2.3M
Statistical Methods for Single-Cell TranscriptomicsR01GM125301 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, ZHANG, NANCY R · 2017 to 2020
$1.5M
NCI NIH HHS P01 CA210944NCI NIH HHS U01 CA151920NCI NIH HHS U2C CA233285NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NHGRI NIH HHS R35 HG011292NIGMS NIH HHS R01 GM125301
6 · The paper itself

Abstract

Cancer progression is driven by both somatic copy number aberrations (CNAs) and chromatin remodeling, yet little is known about the interplay between these two classes of events in shaping the clonal diversity of cancers. We present Alleloscope, a method for allele-specific copy number estimation that can be applied to single-cell DNA- and/or transposase-accessible chromatin-sequencing (scDNA-seq, ATAC-seq) data, enabling combined analysis of allele-specific copy number and chromatin accessibility. On scDNA-seq data from gastric, colorectal and breast cancer samples, with validation using matched linked-read sequencing, Alleloscope finds pervasive occurrence of highly complex, multiallelic CNAs, in which cells that carry varying allelic configurations adding to the same total copy number coevolve within a tumor. On scATAC-seq from two basal cell carcinoma samples and a gastric cancer cell line, Alleloscope detected multiallelic copy number events and copy-neutral loss-of-heterozygosity, enabling dissection of the contributions of chromosomal instability and chromatin remodeling to tumor evolution.

Indexed as

AlgorithmsAllelesCell Line, TumorChromatinChromatin Assembly and DisassemblyChromosomal InstabilityDNA Copy Number VariationsGenetic HeterogeneityGenome, HumanHumansModels, GeneticNeoplasmsReproducibility of ResultsSingle-Cell AnalysisChromatin

Identifiers

PMID34017141
PMCPMC9127226
OpenAlexW3103510420

What OpenQuestion holds

Textmetadata
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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.