Evidence map›Paper›PMID 29767367›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

A Review of Transcriptome Analysis in Pulmonary Vascular Diseases.

Dustin R Fraidenburg, Roberto F Machado

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

2 authors.

Dustin R FraidenburgDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Roberto F MachadoDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA. robmacha@iu.edu.

Funding

The role of NFATc3 in altered hypoxic pulmonary vasoconstriction during acute lung injuryK08HL133474 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FRAIDENBURG, DUSTIN · 2016 to 2021
$975k
NHLBI NIH HHS K08 HL133474
6 · The paper itself

Abstract

Transcriptome analysis is a powerful tool in the study of pulmonary vascular disease and pulmonary hypertension. Pulmonary hypertension is a disease process that consists of several unique pathologies sharing a common clinical definition, that of elevated pressure within the pulmonary circulation. As such, it has become increasingly important to identify both similarities and differences among the different classes of pulmonary hypertension. Transcriptome analysis has been an invaluable tool both in the basic science research on animal models as well as clinical research among the various different groups of pulmonary hypertension. This work has identified new potential candidate genes, implicated numerous biochemical and molecular pathways in diseased onset and progression, developed gene signatures to appropriately classify types of pulmonary hypertension and severity of illness, and identified novel gene mutations leading to hereditary forms of the disease.

Indexed as

TranscriptomeAnimalsDisease Models, AnimalGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansHypertension, PulmonarySequence Analysis, RNAVascular DiseasesAnimal modelsBMPR2Hereditary pulmonary arterial hypertensionLung diseasePulmonary hypertensionPulmonary vascular disease

Identifiers

PMID29767367
PMCPMC6039103

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.