Evidence map›Paper›PMID 29958658›Full record

ReviewBiophysical journal2018

Recent Developments in Single-Cell RNA-Seq of Microorganisms.

Yi Zhang, Jiaxin Gao, Yanyi Huang, Jianbin Wang

Open access · bronzeAbstract readReview
In one paragraph

Review in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Altered molecular signature of the intestinal microbiota in irritable bowel syndrome patients versus healthy controls: An updated systematic review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Pooled it
  2. Article
  3. A Brief Review of Microbial Omics: Methods and Perspectives.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  16. Microbial single-cell omics: the crux of the matter.Applied microbiology and biotechnology · 2020
    Review
  17. Review
  18. Analysis of themSphere · 2019
    Article
  19. The dark side of technological advances in analysis of microbial ecosystems.Journal of animal science and biotechnology · 2019
    Review
  20. 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.

Yi ZhangBeijing Advanced Innovation Center for Genomics, Biodynamic Optical Imaging Center, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, College of Engineering, Peking University, Beijing, China.
Jiaxin GaoSchool of Life Sciences and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China.
Yanyi HuangBeijing Advanced Innovation Center for Genomics, Biodynamic Optical Imaging Center, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, College of Engineering, Peking University, Beijing, China. Electronic address: yanyi@pku.edu.cn.
Jianbin WangSchool of Life Sciences and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China. Electronic address: jianbinwang@mail.tsinghua.edu.cn.
Center for Life Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell transcriptome analysis through next-generation sequencing (single-cell RNA-seq) has been used broadly to address important biological questions. It has proved to be very powerful, and many exciting new biological discoveries have been achieved in the last decade. Its application has greatly improved our understanding of diverse biological processes and the underlying molecular mechanisms, an understanding that would not have been achievable by conventional analysis based on bulk populations. However, so far, single-cell RNA-seq analysis has been used mostly for higher organisms. For microorganisms, single-cell RNA-seq has not been widely used, mainly because the stiff cell wall prevents effective lysis, much less starting RNA material is obtained, and the RNA lacks polyadenylated tails for universal priming of mRNA molecules. In general, the detection efficiency of current single-cell RNA-seq technologies is very low, and further development or improvement of these technologies is required for exploring the microbial world at single-cell resolution. Here, we briefly review recent developments in single-cell RNA-seq of microorganisms and discuss current challenges and future directions.

Indexed as

MicrobiologyGene Expression ProfilingSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID29958658
PMCPMC6050996
OpenAlexW2810628074

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.