Evidence map›Paper›PMID 36084081›Full record

ArticlePloS one2022

TMExplorer: A tumour microenvironment single-cell RNAseq database and search tool.

Erik Christensen, Alaine Naidas, David Chen, Mia Husic, Parisa Shooshtari

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets.Computational and structural biotechnology journal · 2022
    Article
  9. 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

5 authors.

Erik ChristensenDepartment of Computer Science, University of Western Ontario, London, ON, Canada.
Alaine NaidasChildren Health Research Institute, Victoria Research Labs, London, ON, Canada.
David ChenChildren Health Research Institute, Victoria Research Labs, London, ON, Canada.
Mia HusicGenetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
Parisa ShooshtariDepartment of Computer Science, University of Western Ontario, London, ON, Canada.ORCID 0000-0003-2273-1034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe tumour microenvironment (TME) contains various cells including stromal fibroblasts, immune and malignant cells, and its composition can be elucidated using single-cell RNA sequencing (scRNA-seq). scRNA-seq datasets from several cancer types are available, yet we lack a comprehensive database to collect and present related TME data in an easily accessible format.

resultsWe therefore built a TME scRNA-seq database, and created the R package TMExplorer to facilitate investigation of the TME. TMExplorer provides an interface to easily access all available datasets and their metadata. The users can search for datasets using a thorough range of characteristics. The TMExplorer allows for examination of the TME using scRNA-seq in a way that is streamlined and allows for easy integration into already existing scRNA-seq analysis pipelines.

Indexed as

Single-Cell AnalysisSoftwareGene Expression ProfilingSequence Analysis, RNATumor Microenvironment

Identifiers

PMID36084081
PMCPMC9462821

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.