Evidence map›Paper›PMID 39133159›Full record

ArticleAging2024

Genome-wide methylation and gene-expression analyses in thalassemia.

Wei Zhang, Xiaokang Li, Uet Yu, Xin Huang, Hongmei Wang, Yi Lu, Sixi Liu, Jian Zhang

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Wei ZhangSchool of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Xiaokang LiCenter for Reproductive Medicine, University of Hongkong-Shenzhen Hospital, Shenzhen 518053, Guangdong, China.
Uet YuDepartment of Hematology and Oncology, Shenzhen Children’s Hospital, Shenzhen 518038, Guangdong, China.
Xin HuangSchool of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Hongmei WangDepartment of Infectious Diseases, Shenzhen Children’s Hospital, Shenzhen 518038, Guangdong, China.
Yi LuSchool of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Sixi LiuDepartment of Hematology and Oncology, Shenzhen Children’s Hospital, Shenzhen 518038, Guangdong, China.
Jian ZhangSchool of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thalassemia is the most common autosomal genetic disorder in humans. The pathogenesis of thalassemia is principally due to the deletion or mutation of globin genes that then leads to disorders in globin-chain synthesis, and its predominant clinical manifestations include chronic forms of hemolytic anemia. However, research on the epigenetics and underlying pathogenesis of thalassemia is in its nascency and not yet been systematically realized. In this study, we compared the results of RNA-seq and the whole-genome bisulfite sequencing (WGBS) on 22 peripheral blood samples from 14 thalassemic patients and eight healthy individuals revealed a genome-wide methylation landscape of differentially methylated regions (DMRs). And functional-enrichment analysis revealed the enriched biological pathways with respect to the differentially expressed genes (DEGs) and differentially methylated genes (DMGs) to include hematopoietic lineage, glucose metabolism, and ribosome. To further analyze the interaction between the transcriptome and methylome, we implemented a comprehensive analysis of overlaps between DEGs and DMGs, and observed that biological processes significantly enriched the immune-related genes (i.e., our hypermethylated and down-regulated gene group). Hypermethylated and hypomethylated regions of thalassemia-related genes exhibited different distribution patterns. We thus, further identified and validated thalassemia-associated DMGs and DEGs by multi-omics integrative analyses of DNA methylation and transcriptomics data, and provided a comprehensive genomic map of thalassemia that will facilitate the exploration of the epigenetics mechanisms and pathogenesis underlying thalassemia.

Indexed as

DNA MethylationThalassemiaAdultEpigenesis, GeneticFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMaleTranscriptomebloodRNA-seqthalassemiaWGBS

Identifiers

PMID39133159
PMCPMC11346785

What OpenQuestion holds

Textmetadata
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.