Evidence map›Paper›PMID 34804130›Full record

ArticleFrontiers in genetics2021

Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus.

Haihong Zhang, Yanli Wang, Jinghui Feng, Shuya Wang, Yan Wang, Weisi Kong, Zhiyi Zhang

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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. Article
  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

7 authors.

Haihong ZhangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yanli WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jinghui FengDepartment of Gerontology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Shuya WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yan WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Weisi KongDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhiyi ZhangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a complex and heterogeneous autoimmune disease that the immune system attacks healthy cells and tissues. SLE is difficult to get a correct and timely diagnosis, which makes its morbidity and mortality rate very high. The pathogenesis of SLE remains to be elucidated. To clarify the potential pathogenic mechanism of SLE, we performed an integrated analysis of two RNA-seq datasets of SLE. Differential expression analysis revealed that there were 4,713 and 2,473 differentially expressed genes, respectively, most of which were up-regulated. After integrating differentially expressed genes, we identified 790 common differentially expressed genes (DEGs). Gene functional enrichment analysis was performed and found that common differentially expressed genes were significantly enriched in some important immune-related biological processes and pathways. Our analysis provides new insights into a better understanding of the pathogenic mechanisms and potential candidate markers for systemic lupus erythematosus.

Indexed as

differential expression analysisgene functional enrichment analysisprotein-protein interactionRNA-seqsystemic lupus erythematosus

Identifiers

PMID34804130
PMCPMC8599929

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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.