Evidence map›Paper›PMID 33843974›Full record

ReviewBiochemical Society transactions2021

Unlocking immune-mediated disease mechanisms with transcriptomics.

Emma de Jong, Anthony Bosco

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Multi-Omics Reveals the Effects ofAntioxidants (Basel, Switzerland) · 2024
    Article
  11. Review
  12. Immune Diseases: Challenges, Hopes and Recent Achievements.Pharmaceuticals (Basel, Switzerland) · 2024
    Article
  13. Cystatin from the helminthFrontiers in immunology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

2 authors.

Emma de JongTelethon Kids Institute, Centre for Health Research, The University of Western Australia, Nedlands, Western Australia, Australia.
Anthony BoscoTelethon Kids Institute, Centre for Health Research, The University of Western Australia, Nedlands, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcriptome represents the entire set of RNA transcripts expressed in a cell, reflecting both the underlying genetic and epigenetic landscape and environmental influences, providing a comprehensive view of functional cellular states at any given time. Recent technological advances now enable the study of the transcriptome at the resolution of individual cells, providing exciting opportunities to characterise cellular and molecular events that underpin immune-medicated diseases. Here, we draw on recent examples from the literature to highlight the application of advanced bioinformatics tools to extract mechanistic insight and disease biology from bulk and single-cell transcriptomic profiles. Key considerations for the use of available analysis techniques are presented throughout.

Indexed as

Computational BiologyDiseaseGene Expression ProfilingGene Regulatory NetworksHumansImmune SystemImmunityRNA-SeqSingle-Cell AnalysisTranscriptomegene expression and regulationimmunologytranscriptomics

Identifiers

PMID33843974
PMCPMC8106500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.