Evidence map›Paper›PMID 35958578›Full record

ArticleFrontiers in immunology2022

Defining Patient-Level Molecular Heterogeneity in Psoriasis Vulgaris Based on Single-Cell Transcriptomics.

Yale Liu, Hao Wang, Christopher Cook, Mark A Taylor, Jeffrey P North, Ashley Hailer, Yanhong Shou, Arsil Sadik, Esther Kim, Elizabeth Purdom and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Yale LiuDepartment of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hao WangDepartment of Statistics, University of California, Berkeley, Berkeley, CA, United States.
Christopher CookDepartment of Dermatology, Veterans Affairs Medical Center, San Francisco, CA, United States.
Mark A TaylorDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Jeffrey P NorthDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Ashley HailerDepartment of Dermatology, Veterans Affairs Medical Center, San Francisco, CA, United States.
Yanhong ShouDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Arsil SadikDepartment of Dermatology, Veterans Affairs Medical Center, San Francisco, CA, United States.
Esther KimDepartment of Plastic Surgery, University of California, San Francisco, San Francisco, CA, United States.
Elizabeth PurdomDepartment of Statistics, University of California, Berkeley, Berkeley, CA, United States.
Jeffrey B ChengDepartment of Dermatology, Veterans Affairs Medical Center, San Francisco, CA, United States.
Raymond J ChoDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USSan Francisco VA Medical Center · USUniversity of California, Berkeley · USHuashan Hospital · CNMedical University of Białystok · PL

Funding

Role of DNA Methylation and Hydroxymethylation in Epidermal HomeostasisK08AR067243 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, JEFFREY B · 2015 to 2019
$834k
NIAMS NIH HHS K08 AR067243
6 · The paper itself

Abstract

Identifying genetic variation underlying human diseases establishes targets for therapeutic development and helps tailor treatments to individual patients. Large-scale transcriptomic profiling has extended the study of such molecular heterogeneity between patients to somatic tissues. However, the lower resolution of bulk RNA profiling, especially in a complex, composite tissue such as the skin, has limited its success. Here we demonstrate approaches to interrogate patient-level molecular variance in a chronic skin inflammatory disease, psoriasis vulgaris, leveraging single-cell RNA-sequencing of CD45

Indexed as

PsoriasisTranscriptomeHumansRNASkinTh17 CellsRNAchromatincytoskeletonheterogeneitypsoriasis vulgarissingle-cell RNA-sequencing

Identifiers

PMID35958578
PMCPMC9360479
OpenAlexW4287877215

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.