Evidence map›Paper›PMID 35634297›Full record

ArticleFrontiers in immunology2022

Single Cell Transcriptome and Surface Epitope Analysis of Ankylosing Spondylitis Facilitates Disease Classification by Machine Learning.

Samuel Alber, Sugandh Kumar, Jared Liu, Zhi-Ming Huang, Diana Paez, Julie Hong, Hsin-Wen Chang, Tina Bhutani, Lianne S Gensler, Wilson Liao

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 26 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

10 authors at 1 institution in 1 country.

Samuel AlberDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, United States.
Sugandh KumarDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Jared LiuDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Zhi-Ming HuangDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Diana PaezDivision of Rheumatology, Department of Medicine, University of California at San Francisco, San Francisco, CA, United States.
Julie HongDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Hsin-Wen ChangDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Tina BhutaniDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
Lianne S GenslerDivision of Rheumatology, Department of Medicine, University of California at San Francisco, San Francisco, CA, United States.
Wilson LiaoDepartment of Dermatology, University of California at San Francisco, San Francisco, CA, United States.
University of California, San Francisco · US

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
UCSF Dermatology Training GrantT32AR007175 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wilson Liao, Michael David Rosenblum · 1986 to 2026
$6.1M
Using whole-exome sequencing to uncover key genetic variants related to Hidradenitis Suppurativa risk in African American and Hispanic population.R01AR078688 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON, MI, QING-SHENG · 2021 to 2025
$4.1M
NIAMS NIH HHS P30 AR070155NIAMS NIH HHS R01 AR078688NIAMS NIH HHS T32 AR007175
6 · The paper itself

Abstract

Ankylosing spondylitis (AS) is an immune-mediated inflammatory disorder that primarily affects the axial skeleton, especially the sacroiliac joints and spine. This results in chronic back pain and, in extreme cases, ankylosis of the spine. Despite its debilitating effects, the pathogenesis of AS remains to be further elucidated. This study used single cell CITE-seq technology to analyze peripheral blood mononuclear cells (PBMCs) in AS and in healthy controls. We identified a number of molecular features associated with AS. CD52 was found to be overexpressed in both RNA and surface protein expression across several cell types in patients with AS. CD16

Indexed as

Spondylitis, AnkylosingEpitopesHumansLeukocytes, MononuclearMachine LearningTranscriptomeEpitopesankylosing spondylitisCITE-seqgenomicsmachine learningsingle cell sequencingspondyloarthritis

Identifiers

PMID35634297
PMCPMC9135966
OpenAlexW4280616454

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.