Evidence map›Paper›PMID 33575084›Full record

ArticleAmerican journal of cancer research2021

A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.

Yan Gao, Qingke Duan, Ning Wu, Bo Xu

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Machine Learning & Molecular Radiation Tumor Biomarkers.Seminars in radiation oncology · 2023
    Review
  6. Article
  7. Review
  8. The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022
    Article
  9. Review
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

4 authors at 1 institution in 1 country.

Yan GaoDepartment of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education Tianjin 300060, China.
Qingke DuanDepartment of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education Tianjin 300060, China.
Ning WuDepartment of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education Tianjin 300060, China.
Bo XuDepartment of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education Tianjin 300060, China.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding on transcriptional regulation of tumour cells responding to ionizing radiation (IR) has mostly come from bulk sequencing. However, due to the heterogeneity of tumour, how each individual cell responds to IR differently is unclear. We report here a heterogeneous cellular response to IR by single cell transcriptome sequencing. We utilized the barcoded Smart-seq2 single cell transcriptome sequencing technology in breast cancer cell line MDA-MB-231 both without and with IR treatment. To further understand how ATM, a major hub protein required for an optimal DNA damage response, affected the heterogeneous IR response, we also knocked down ATM gene for single cell transcriptome sequencing. Single cell t-SNE analysis showed four clusters of cells responding to IR in distinctive ways: Cluster 1 changed the least; Cluster 2 responded to IR by upregulating ribosome associated genes, while Cluster 4 upregulated both ribosome and G1/S phase associated genes; Cluster 3 was a new cluster, which appeared only in irradiated cells. In the absence of ATM kinase, cells displayed much less transcriptional changes after IR. And Cluster 4 in wild-type cells, which had the greatest change in response to IR, was not present in the ATM knock-down cells. We also selected three IR-induced genes for functional validation in both MDA-MB-231 and an additional breast cancer cell line to demonstrate their importance in radiation sensitivity. Taken together, our single cell transcriptome analysis has revealed a heterogeneous cellular response to DNA damage induced by IR and identified potential biomarkers of radiation sensitivity.

Indexed as

ATMIonizing radiation (IR)Radiation sensitivitySingle cell transcriptome sequencing

Identifiers

PMID33575084
PMCPMC7868766
OpenAlexW3129128518

What OpenQuestion holds

Textmetadata
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.