Evidence map›Paper›PMID 38702687›Full record

ReviewRespiratory research2024

Charting the cellular landscape of pulmonary arterial hypertension through single-cell omics.

Brian Tang, Arjun Vadgama, Bryce Redmann, Jason Hong

Abstract readReview
In one paragraph

Review in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. FPR1-dependent Pro-inflammatory Ccl4Respiratory research · 2025
    Article
  7. Article
  8. Article
  9. 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

4 authors.

Brian TangDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, University of California, 200 UCLA Medical Plaza, Suite 365-B, Box 951693, Los Angeles, CA, 90095, USA.
Arjun VadgamaDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, University of California, 200 UCLA Medical Plaza, Suite 365-B, Box 951693, Los Angeles, CA, 90095, USA.
Bryce RedmannDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, University of California, 200 UCLA Medical Plaza, Suite 365-B, Box 951693, Los Angeles, CA, 90095, USA.
Jason HongDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, University of California, 200 UCLA Medical Plaza, Suite 365-B, Box 951693, Los Angeles, CA, 90095, USA. jasonhong@mednet.ucla.edu.

Funding

Integrative Multiomics to Uncover Novel Genes and Networks in Pulmonary Arterial HypertensionK08HL169982 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jason Hong · 2023 to 2026
$706k
NHLBI NIH HHS K08 HL169982NIH HHS K08HL169982
6 · The paper itself

Abstract

This review examines how single-cell omics technologies, particularly single-cell RNA sequencing (scRNAseq), enhance our understanding of pulmonary arterial hypertension (PAH). PAH is a multifaceted disorder marked by pulmonary vascular remodeling, leading to high morbidity and mortality. The cellular pathobiology of this heterogeneous disease, involving various vascular and non-vascular cell types, is not fully understood. Traditional PAH studies have struggled to resolve the complexity of pathogenic cell populations. scRNAseq offers a refined perspective by detailing cellular diversity within PAH, identifying unique cell subsets, gene networks, and molecular pathways that drive the disease. We discuss significant findings from recent literature, summarizing how scRNAseq has shifted our understanding of PAH in human, rat, and mouse models. This review highlights the insights gained into cellular phenotypes, gene expression patterns, and novel molecular targets, and contemplates the challenges and prospective paths for research. We propose ways in which single-cell omics could inform future research and translational efforts to combat PAH.

Indexed as

Single-Cell AnalysisAnimalsHumansHypertension, PulmonaryPulmonary Arterial HypertensionSequence Analysis, RNAPulmonary arterial hypertensionSingle-cell omicsSingle-cell RNA sequencing

Identifiers

PMID38702687
PMCPMC11067161

What OpenQuestion holds

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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.