Evidence map›Paper›PMID 35054460›Full record

ReviewLife (Basel, Switzerland)2022

Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology.

Alex M Ascensión, Marcos J Araúzo-Bravo, Ander Izeta

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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.

Alex M AscensiónTissue Engineering Group, Biodonostia Health Research Institute, 20014 Donostia-San Sebastián, Spain.ORCID 0000-0002-0013-3052
Marcos J Araúzo-BravoComputational Biology and Systems Biomedicine Group, Biodonostia Health Research Institute, 20014 Donostia-San Sebastián, Spain.ORCID 0000-0002-3264-464X
Ander IzetaTissue Engineering Group, Biodonostia Health Research Institute, 20014 Donostia-San Sebastián, Spain.ORCID 0000-0003-1879-7401

Funding

Basque Government PRE-2020-2-0081European Commission EracoSysMed, JTC-2 2017, H2020 Grant Agreement No 643271Instituto de Salud Carlos III AC17/00012Instituto de Salud Carlos III PI19/01621
6 · The paper itself

Abstract

Skin is a complex and heterogeneous organ at the cellular level. This complexity is beginning to be understood through the application of single-cell genomics and computational tools. A large number of datasets that shed light on how the different human skin cell types interact in homeostasis-and what ceases to work in diverse dermatological diseases-have been generated and are publicly available. However, translation of these novel aspects to the clinic is lacking. This review aims to summarize the state-of-the-art of skin biology using single-cell technologies, with a special focus on skin pathologies and the translation of mechanistic findings to the clinic. The main implications of this review are to summarize the benefits and limitations of single-cell analysis and thus help translate the emerging insights from these novel techniques to the bedside.

Indexed as

cell population heterogeneitydermatological diseasesingle-cellskin

Identifiers

PMID35054460
PMCPMC8781146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.