Evidence map›Paper›PMID 31790455›Full record

ArticlePloS one2019

HeLa-CCL2 cell heterogeneity studied by single-cell DNA and RNA sequencing.

Wan-Er Hu, Xin Zhang, Qiu-Fang Guo, Jing-Wei Yang, Yuan Yang, Shi-Cheng Wei, Xiao-Dong Su

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  17. Multicellular 3D Models to Study Tumour-Stroma Interactions.International journal of molecular sciences · 2021
    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

7 authors.

Wan-Er HuAcademy for Advanced Interdisciplinary Studies (AAIS), Peking University, Beijing, China.
Xin ZhangBiomedical Pioneering Innovation Center (BIOPIC), and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China.
Qiu-Fang GuoBiomedical Pioneering Innovation Center (BIOPIC), and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China.
Jing-Wei YangBiomedical Pioneering Innovation Center (BIOPIC), and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China.
Yuan YangClinical Research Center, Guizhou Medical University Hospital, Guiyang, China.
Shi-Cheng WeiAcademy for Advanced Interdisciplinary Studies (AAIS), Peking University, Beijing, China.
Xiao-Dong SuBiomedical Pioneering Innovation Center (BIOPIC), and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China.ORCID 0000-0001-6948-2317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HeLa cells are the earliest and mostly used laboratory human cells for biomedical particularly cancer research. They were derived from a patient's cervical cancerous tissue, and are known for their heterogeneous cellular origin and variable genomic landscapes. Single-cell sequencing techniques with faithful linear and uniformly amplified genomes (DNA) and transcriptomes (RNA) may facilitate the study of cellular differences at the individual cell level. In this work, we have performed single-cell DNA and RNA sequencing with HeLa-CCL2 cells to study their heterogeneity. We have studied the complexity of copy number variations (CNVs) of HeLa-CCL2 genome at the single cell level, and revealed the transcriptomic heterogeneity of HeLa-CCL2. We also analyzed the relationship between genome and transcriptome at the single-cell level, and found overall correlation between CNV and transcriptome expression patterns. Finally, we concluded that although single-cell sequencing techniques are applicable to study heterogeneous cells such as HeLa-CCL2, the data analyses need to be more careful and well controlled.

Indexed as

DNA Copy Number VariationsGenetic HeterogeneityHeLa CellsCell Culture TechniquesChemokine CCL2Gene Expression ProfilingGenome, HumanHumansKaryotypingSequence Analysis, RNASingle-Cell AnalysisTranscriptomeWhole Genome SequencingCCL2 protein, humanChemokine CCL2

Identifiers

PMID31790455
PMCPMC6886862

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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.