Evidence map›Paper›PMID 38524605›Full record

ArticleHeliyon2024

Single cell analyses of cancer cells identified two regulatorily and functionally distinct categories in differentially expressed genes among tumor subclones.

Wei Cao, Xuefei Wang, Kaiwen Luo, Yang Li, Jiahong Sun, Ruqing Fu, Qi Zhang, Ni Hong, Edwin Cheung, Wenfei Jin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 3 institutions in 2 countries.

Wei CaoSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Xuefei WangSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Kaiwen LuoSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Yang LiShenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China.
Jiahong SunSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Ruqing FuSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Qi ZhangSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Ni HongSchool of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Edwin CheungCancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR.
Wenfei JinCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Southern University of Science and Technology · CNUniversity of Macau · MOShanghai Institute of Nutrition and Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the feature of cancer cells and tumor subclones, we analyzed 101,065 single-cell transcriptomes from 12 colorectal cancer (CRC) patients and 92 single cell genomes from one of these patients. We found cancer cells, endothelial cells and stromal cells in tumor tissue expressed much more genes and had stronger cell-cell interactions than their counterparts in normal tissue. We identified copy number variations (CNVs) in each cancer cell and found correlation between gene copy number and expression level in cancer cells at single cell resolution. Analysis of tumor subclones inferred by CNVs showed accumulation of mutations in each tumor subclone along lineage trajectories. We found differentially expressed genes (DEGs) between tumor subclones had two populations: DEG

Indexed as

Cell-cell communicationColorectal cancerCopy number variationsDifferentially expressed geneSingle cell RNA sequencingSingle cell whole genome sequencing

Identifiers

PMID38524605
PMCPMC10958426
OpenAlexW4392697420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.