Evidence map›Paper›PMID 32633783›Full record

ReviewBriefings in functional genomics2020

Single-cell transcriptomics allows novel insights into aging and circadian processes.

Sara S Fonseca Costa, Marc Robinson-Rechavi, Jürgen A Ripperger

Open access · hybridAbstract readReview
In one paragraph

Review in Briefings in functional genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

3 authors at 2 institutions in 1 country.

Sara S Fonseca CostaDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland.
Marc Robinson-RechaviDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland.
Jürgen A RippergerDepartment of Biology/Biochemistry, University of Fribourg.
SIB Swiss Institute of Bioinformatics · CHUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging and circadian rhythms are two biological processes that affect an organism, although at different time scales. Nevertheless, due to the overlap of their actions, it was speculated that both interfere or interact with each other. However, to address this question, a much deeper insight into these processes is necessary, especially at the cellular level. New methods such as single-cell RNA-sequencing (scRNA-Seq) have the potential to close this gap in our knowledge. In this review, we analyze applications of scRNA-Seq from the aging and circadian rhythm fields and highlight new findings emerging from the analysis of single cells, especially in humans or rodents. Furthermore, we judge the potential of scRNA-Seq to identify common traits of both processes. Overall, this method offers several advantages over more traditional methods analyzing gene expression and will become an important tool to unravel the link between these biological processes.

Indexed as

AgingCircadian RhythmHumansMelatoninTranscriptomeMelatoninhallmarks of aginglight resettingmelatoninmutation ratetranscriptome

Identifiers

PMID32633783
PMCPMC7716582
OpenAlexW3041845641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.