Evidence map›Paper›PMID 28089370›Full record

ReviewTrends in genetics : TIG2017

Single-Cell Multiomics: Multiple Measurements from Single Cells.

Iain C Macaulay, Chris P Ponting, Thierry Voet

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing 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

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

  1. Pooled it
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  14. Application of mass cytometry in the immune microenvironment of breast cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  15. Article
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  20. A Bayesian phylodynamic inference framework for single-cell CRISPR/Cas9 lineage tracing barcode data with dependent target sites.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article

158 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

3 authors.

Iain C MacaulayEarlham Institute, Norwich Research Park, Norwich NR4 7UH, UK. Electronic address: Iain.Macaulay@earlham.ac.uk.
Chris P PontingSanger Institute - EBI Single-Cell Genomics Centre, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK; MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK. Electronic address: Chris.Ponting@igmm.ed.ac.uk.
Thierry VoetSanger Institute - EBI Single-Cell Genomics Centre, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK; Department of Human Genetics, University of Leuven, KU Leuven, Leuven, 3000, Belgium. Electronic address: thierry.voet@kuleuven.be.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council MC_PC_15075Medical Research Council MC_UU_12008/1Wellcome Trust
6 · The paper itself

Abstract

Single-cell sequencing provides information that is not confounded by genotypic or phenotypic heterogeneity of bulk samples. Sequencing of one molecular type (RNA, methylated DNA or open chromatin) in a single cell, furthermore, provides insights into the cell's phenotype and links to its genotype. Nevertheless, only by taking measurements of these phenotypes and genotypes from the same single cells can such inferences be made unambiguously. In this review, we survey the first experimental approaches that assay, in parallel, multiple molecular types from the same single cell, before considering the challenges and opportunities afforded by these and future technologies.

Indexed as

DNA MethylationHigh-Throughput Nucleotide SequencingHumansMetabolomeProteomeSingle-Cell AnalysisTranscriptomeProteomeepigenomicsgenomicsmultiomicsproteomicssingle celltranscriptomics

Identifiers

PMID28089370
PMCPMC5303816

What OpenQuestion holds

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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.