Evidence map›Paper›PMID 35758882›Full record

ArticleDatabase : the journal of biological databases and curation2022

A transcriptome atlas and interactive analysis platform for autoimmune disease.

Zhuoqiao Shen, Minghao Fang, Wujianan Sun, Meifang Tang, Nianping Liu, Lin Zhu, Qian Liu, Bin Li, Ruoming Sun, Yu Shi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. IBDTransDB: a manually curated transcriptomic database for inflammatory bowel disease.Database : the journal of biological databases and curation · 2024
    Pooled it
  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

13 authors at 2 institutions in 1 country.

Zhuoqiao ShenSchool of Data Sciences, University of Science and Technology of China, No. 443, Huangshan Road, Shushan District, Hefei, Anhui 230027, China.
Minghao FangDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Wujianan SunDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Meifang TangDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Nianping LiuDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Lin ZhuDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Qian LiuDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Bin LiDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Ruoming SunDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Yu ShiSchool of Medicine, China Pharmaceutical University, No. 639, Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211198, China.
Chuang GuoDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Jun LinDepartment of Oncology, The First Affiliated Hospital of USTC, Department of Basic Medicine, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17, Lujiang Road, Luyang District, Hefei, Anhui 230021, China.
Kun QuSchool of Data Sciences, University of Science and Technology of China, No. 443, Huangshan Road, Shushan District, Hefei, Anhui 230027, China.ORCID 0000-0002-5555-8437
University of Science and Technology of China · CNChina Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and autoimmune diseases. However, there is still a lack of a database that integrates the large amount of autoimmune disease transcriptome sequencing data and conducts effective analysis. In this study, we developed a user-friendly web database tool, Interactive Analysis and Atlas for Autoimmune disease (IAAA), which integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides customizable analysis modules, including gene expression, difference, correlation, similar gene detection and cell-cell interaction, and can display results in three formats (plot, table and pdf) through custom parameters. IAAA provides valuable data resources for researchers studying autoimmune diseases and helps users deeply explore the potential value of the current transcriptome data. IAAA is available. Database URL: http://galaxy.ustc.edu.cn/IAAA.

Indexed as

Autoimmune DiseasesTranscriptomeDatabases, FactualHigh-Throughput Nucleotide SequencingHumansRNA-SeqSequence Analysis, RNASoftware

Identifiers

PMID35758882
PMCPMC9235372
OpenAlexW4283653572

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.