Evidence map›Paper›PMID 31559014›Full record

ArticleF1000Research2019

A curated transcriptome dataset collection to investigate inborn errors of immunity.

Salim Bougarn, Sabri Boughorbel, Damien Chaussabel, Nico Marr

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Salim BougarnSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.ORCID 0000-0003-1132-6615
Sabri BoughorbelSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.ORCID 0000-0003-2734-3356
Damien ChaussabelSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.ORCID 0000-0002-7287-1636
Nico MarrSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.ORCID 0000-0002-1927-7072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary immunodeficiencies (PIDs) are a heterogeneous group of inherited disorders, frequently caused by loss-of-function and less commonly by gain-of-function mutations, which can result in susceptibility to a broad or a very narrow range of infections but also in inflammatory, allergic or malignant diseases. Owing to the wide range in clinical manifestations and variability in penetrance and expressivity, there is an urgent need to better understand the underlying molecular, cellular and immunological phenotypes in PID patients in order to improve clinical diagnosis and management. Here we have compiled a manually curated collection of public transcriptome datasets mainly obtained from human whole blood, peripheral blood mononuclear cells (PBMCs) or fibroblasts of patients with PIDs and of control subjects for subsequent meta-analysis, query and interpretation. A total of eighteen (18) datasets derived from studies of PID patients were identified and retrieved from the NCBI Gene Expression Omnibus (GEO) database and loaded in GXB, a custom web application designed for interactive query and visualization of integrated large-scale data. The dataset collection includes samples from well characterized PID patients that were stimulated

Indexed as

Immunologic Deficiency SyndromesSoftwareTranscriptomeHumansImmunityLeukocytes, MononuclearMetabolism, Inborn Errorsinborn errors of immunity.microarrayprimary immunodeficiency disordersTranscriptomics

Identifiers

PMID31559014
PMCPMC6749933

What OpenQuestion holds

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Registered trials

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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.