Evidence map›Paper›PMID 38334658›Full record

ArticleCells2024

Optimization of Tissue Digestion Methods for Characterization of Photoaged Skin by Single Cell RNA Sequencing Reveals Preferential Enrichment of T Cell Subsets.

Terri Clister, Rosalyn M Fey, Zachary R Garrison, Cristian D Valenzuela, Anna Bar, Justin J Leitenberger, Rajan P Kulkarni

Open access · goldAbstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Terri ClisterDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0009-0000-8104-2242
Rosalyn M FeyDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0002-3202-1012
Zachary R GarrisonDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0001-7945-1047
Cristian D ValenzuelaDepartment of Surgery, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0002-8694-9174
Anna BarDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.
Justin J LeitenbergerDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.
Rajan P KulkarniDepartment of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0002-2191-4085
Oregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy human skin tissue is often used as a control for comparison to diseased skin in patients with skin pathologies, including skin cancers or other inflammatory conditions such as atopic dermatitis or psoriasis. Although non-affected skin from these patients is a more appropriate choice for comparison, there is a paucity of studies examining such tissue. This lack is exacerbated by the difficulty of processing skin tissue for experimental analysis. In addition, choosing a processing protocol for skin tissue which preserves cell viability and identity while sufficiently dissociating cells for single-cell analysis is not a trivial task. Here, we compare three digestion methods for human skin tissue, evaluating the cell yield and viability for each protocol. We find that the use of a sequential dissociation method with multiple enzymatic digestion steps produces the highest cell viability. Using single-cell sequencing, we show this method results in a relative increase in the proportion of non-antigen-presenting mast cells and CD8 T cells as well as a relative decrease in the proportion of antigen-presenting mast cells and KYNU

Indexed as

Dermatitis, AtopicSkinDigestionHumansSequence Analysis, RNAT-Lymphocyte Subsetsimmune cell compositionmelanomascRNA-seqskin cancerT cellstissue digestion

Identifiers

PMID38334658
PMCPMC10854603
OpenAlexW4391403946

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.