Evidence map›Paper›PMID 29945865›Full record

ArticleDevelopment (Cambridge, England)2018

SLAM-ITseq: sequencing cell type-specific transcriptomes without cell sorting.

Wayo Matsushima, Veronika A Herzog, Tobias Neumann, Katharina Gapp, Johannes Zuber, Stefan L Ameres, Eric A Miska

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Metabolic labeling of RNA using ribonucleoside analogs enables the evaluation of RNA synthesis and degradation rates.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  6. Review
  7. Transcriptome and Temporal Transcriptome Analyses in Single Cells.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Total RNA Synthesis and its Covalent Labeling Innovation.Topics in current chemistry (Cham) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. RNA sequencing: the teenage years.Nature reviews. Genetics · 2019
    Review
  19. Article
  20. 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

7 authors.

Wayo MatsushimaDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.ORCID 0000-0002-0334-2423
Veronika A HerzogInstitute of Molecular Biotechnology, Vienna Biocenter Campus, Vienna 1030, Austria.
Tobias NeumannResearch Institute of Molecular Pathology, Vienna Biocenter Campus, Vienna 1030, Austria.
Katharina GappDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.
Johannes ZuberResearch Institute of Molecular Pathology, Vienna Biocenter Campus, Vienna 1030, Austria.
Stefan L AmeresInstitute of Molecular Biotechnology, Vienna Biocenter Campus, Vienna 1030, Austria.ORCID 0000-0002-8248-3098
Eric A MiskaDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK eam29@cam.ac.uk.ORCID 0000-0002-4450-576X

Funding

Cancer Research UK 18583Cancer Research UK C13474/A18583Cancer Research UK C6946/A14492Wellcome TrustWellcome Trust 092096/Z/10/ZWellcome Trust 104640/Z/14/Z
6 · The paper itself

Abstract

Cell type-specific transcriptome analysis is an essential tool for understanding biological processes in which diverse types of cells are involved. Although cell isolation methods such as fluorescence-activated cell sorting (FACS) in combination with transcriptome analysis have widely been used so far, their time-consuming and harsh procedures limit their applications. Here, we report a novel

Indexed as

High-Throughput Nucleotide SequencingRNATranscriptomeAdipocytes, WhiteAnimalsBrainEndothelial CellsFlow CytometryMiceStaining and LabelingThiouracil4-thiouracilRNAThiouracil4-thiouracilRNA in vivo labellingRNA-seqTranscriptomicsTransgenics

Identifiers

PMID29945865
PMCPMC6053661

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.