Evidence map›Paper›PMID 28060364›Full record

ArticleThe ISME journal2017

Single-cell transcriptomics of small microbial eukaryotes: limitations and potential.

Zhenfeng Liu, Sarah K Hu, Victoria Campbell, Avery O Tatters, Karla B Heidelberg, David A Caron

Abstract read
In one paragraph

Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Phylogeny and species delimitation of ciliates in the genusbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Using single-cell transcriptomics to understand functional states and interactions in microbial eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  14. A single-cell genome perspective on studying intracellular associations in unicellular eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  15. Combining morphology, behaviour and genomics to understand the evolution and ecology of microbial eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Quest of Soil Protists in a New Era.Microbes and environments · 2017
    Article
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

6 authors.

Zhenfeng LiuDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Sarah K HuDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Victoria CampbellDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Avery O TattersDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Karla B HeidelbergDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
David A CaronDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell transcriptomics is an emerging research tool that has huge untapped potential in the study of microbial eukaryotes. Its application has been tested in microbial eukaryotes 50 μm or larger, and it generated transcriptomes similar to those obtained from culture-based RNA-seq. However, microbial eukaryotes have a wide range of sizes and can be as small as 1 μm. Single-cell RNA-seq was tested in two smaller protists (8 and 15 μm). Transcript recovery rate was much lower and randomness in observed gene expression levels was much higher in single-cell transcriptomes than those derived from bulk cultures of cells. We found that the reason of such observation is that the smaller organisms had much lower mRNA copy numbers. We discuss the application of single-cell RNA-seq in studying smaller microbial eukaryotes in the context of these limitations.

Indexed as

Gene Expression ProfilingDinoflagellidaHaptophytaRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisTranscriptomeRNA, Messenger

Identifiers

PMID28060364
PMCPMC5437924

What OpenQuestion holds

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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.