Evidence map›Paper›PMID 28979258›Full record

ReviewFrontiers in microbiology2017

Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level.

Zixi Chen, Lei Chen, Weiwen Zhang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Microbes in reconstructive restoration: Divergence in constructed and natural tree island soil fungi affects tree growth.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Review
  4. Review
  5. Single-cell analysis and spatial resolution of the gut microbiome.Frontiers in cellular and infection microbiology · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  11. Microbial Single-Cell Analysis: What Can We Learn From Mammalian?Frontiers in cell and developmental biology · 2021
    Article
  12. Review
  13. Microbial single-cell omics: the crux of the matter.Applied microbiology and biotechnology · 2020
    Review
  14. Article
  15. Review
  16. 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

3 authors.

Zixi ChenLaboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China.
Lei ChenLaboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China.
Weiwen ZhangLaboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiologists traditionally study population rather than individual cells, as it is generally assumed that the status of individual cells will be similar to that observed in the population. However, the recent studies have shown that the individual behavior of each single cell could be quite different from that of the whole population, suggesting the importance of extending traditional microbiology studies to single-cell level. With recent technological advances, such as flow cytometry, next-generation sequencing (NGS), and microspectroscopy, single-cell microbiology has greatly enhanced the understanding of individuality and heterogeneity of microbes in many biological systems. Notably, the application of multiple 'omics' in single-cell analysis has shed light on how individual cells perceive, respond, and adapt to the environment, how heterogeneity arises under external stress and finally determines the fate of the whole population, and how microbes survive under natural conditions. As single-cell analysis involves no axenic cultivation of target microorganism, it has also been demonstrated as a valuable tool for dissecting the microbial 'dark matter.' In this review, current state-of-the-art tools and methods for genomic and transcriptomic analysis of microbes at single-cell level were critically summarized, including single-cell isolation methods and experimental strategies of single-cell analysis with NGS. In addition, perspectives on the future trends of technology development in the field of single-cell analysis was also presented.

Indexed as

genomicsheterogeneitymicrobesnext-generation sequencingsingle-cell analysistranscriptomics

Identifiers

PMID28979258
PMCPMC5611438

What OpenQuestion holds

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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.