Evidence map›Paper›PMID 26394010›Full record

ArticleThe ISME journal2016

Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers.

Sarah J Spencer, Manu V Tamminen, Sarah P Preheim, Mira T Guo, Adrian W Briggs, Ilana L Brito, David A Weitz, Leena K Pitkänen, Francois Vigneault, Marko P Juhani Virta and 1 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
16.8field-weighted citation impact, top 1% 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

102 citing papers in PubMed, 229 citations in OpenAlex.

  1. Article
  2. Review
  3. Applied and environmental microbiology · 2026
    Review
  4. Article
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  6. Article
  7. Article
  8. Article
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  12. Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
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  20. Article

42 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 2 countries.

Sarah J SpencerComputational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Manu V TamminenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sarah P PreheimDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mira T GuoSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Adrian W BriggsDepartment of Physics, Harvard University, Cambridge, MA, USA.
Ilana L BritoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
David A WeitzSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Leena K PitkänenDepartment of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Francois VigneaultAbVitro Inc., Boston, MA, USA.
Marko P Juhani VirtaDepartment of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Eric J AlmComputational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Harvard University · USMassachusetts Institute of Technology · USUniversity of Helsinki · FIBroad Institute · US

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
NIEHS NIH HHS P30 ES002109NIEHS NIH HHS P30-ES002109
6 · The paper itself

Abstract

Many microbial communities are characterized by high genetic diversity. 16S ribosomal RNA sequencing can determine community members, and metagenomics can determine the functional diversity, but resolving the functional role of individual cells in high throughput remains an unsolved challenge. Here, we describe epicPCR (Emulsion, Paired Isolation and Concatenation PCR), a new technique that links functional genes and phylogenetic markers in uncultured single cells, providing a throughput of hundreds of thousands of cells with costs comparable to one genomic library preparation. We demonstrate the utility of our technique in a natural environment by profiling a sulfate-reducing community in a freshwater lake, revealing both known sulfate reducers and discovering new putative sulfate reducers. Our method is adaptable to any conserved genetic trait and translates genetic associations from diverse microbial samples into a sequencing library that answers targeted ecological questions. Potential applications include identifying functional community members, tracing horizontal gene transfer networks and mapping ecological interactions between microbial cells.

Indexed as

PhylogenyBacteriaBacterial ProteinsDNA, BacterialHigh-Throughput Nucleotide SequencingLakesMetagenomicsMolecular Sequence DataRNA, Ribosomal, 16SBacterial ProteinsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26394010
PMCPMC4737934
OpenAlexW2335822530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.