Evidence map›Paper›PMID 31345182›Full record

ArticleBMC genomics2019

Single-cell RNA-seq of esophageal squamous cell carcinoma cell line with fractionated irradiation reveals radioresistant gene expression patterns.

Ling Yang, Xiaoyan Zhang, Qiang Hou, Ming Huang, Hongfang Zhang, Zhenzhen Jiang, Jing Yue, Shixiu Wu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  5. Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024
    Review
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  10. Progress in Discovering Transcriptional Noise in Aging.International journal of molecular sciences · 2023
    Review
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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

8 authors at 2 institutions in 1 country.

Ling YangHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Xiaoyan ZhangHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Qiang HouHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Ming HuangHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Hongfang ZhangHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Zhenzhen JiangHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Jing YueHangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang Province, 310002, People's Republic of China.
Shixiu WuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.113 Baohe Street Longgang District, Shenzhen, China. wushixiu@medmail.com.cn.
Hangzhou Cancer Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Hangzhou Agriculture and Social Developmental Research Program 20172016A04Hangzhou Science and Technology Development Program 20150733Q63National Natural Science Foundation of China 81672994Zhejiang Provincial Foundation for Natural Sciences LZ15H220001Zhejiang Provincial Medical Scientific Research Foundation of China 2015PYA009Zhejiang Provincial Medical Scientific Research Foundation of China WZJ-ZJ-1628
6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) cells are heterogeneous, easily develop radioresistance, and recur. Single-cell RNA-seq (scRNA-seq) is a next-generation sequencing method that can delineate diverse gene expression profiles of individual cells and mining their heterogeneous behaviors in response to irradiation. Our aim was using scRNA-seq to describe the difference between parental cells and cells that acquired radioresistance, and to investigate the dynamic changes of the transcriptome of cells in response to FIR.

resultsWe sequenced ESCC cell lines KYSE180 with and without fractionated irradiation (FIR). A total of 218 scRNA-seq libraries were obtained from 88 cells exposed to 12 Gy (KYSE-180-12 Gy), 89 exposed to 30 Gy (KYSE-180-30 Gy), and 41 parental KYSE-180 cells not exposed to FIR. Dynamic gene expression patterns were determined by comprehensive consideration of genes and pathways. Biological experiments showed that KYSE-180 cells became radioresistant after FIR. PCA analysis of scRNA-seq data showed KYSE-180, KYSE-180-12 Gy and KYSE-180-30 Gy cells were discrete away from each other. Two sub-populations found in KYSE-180-12 Gy and only one remained in KYSE-180-30 Gy. This sub-population genes exposure to FIR through 12 Gy to 30 Gy were relevant to the PI3K-AKT pathway, pathways evading apoptosis, tumor cell migration, metastasis, or invasion pathways, and cell differentiation and proliferation pathways. We validated DEGs, such as CFLAR, LAMA5, ITGA6, ITGB4, and SDC4 genes, in these five pathways as radioresistant genes in bulk cell RNA-seq data from ESCC tissue of a ESCC patient treated with radiotherapy and from KYSE-150 cell lines.

conclusionsOur results delineated the divergent gene expression patterns of individual ESCC cells exposure to FIR, and displayed genes and pathways related to development of radioresistance.

Indexed as

Radiation ToleranceTranscriptomeCell Line, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaHumansMetabolic Networks and PathwaysRNA-SeqEsophageal squamous cell carcinomaGene expressionRadioresistanceSingle-cell RNA-seqTranscriptome

Identifiers

PMID31345182
PMCPMC6659267
OpenAlexW2962740485

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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.