ArticleFrontiers of medicine2016
Global transcriptome analysis for identification of interactions between coding and noncoding RNAs during human erythroid differentiation.
Article in Frontiers of medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Tracing the in vivo behavior of nucleated cultured red blood cells generated from hematopoietic stem and progenitor cells.Stem cell research & therapy · 2026Article
- EryDB: A Transcriptomic Profile Database for Erythropoiesis and Erythroid-related Diseases.Genomics, proteomics & bioinformatics · 2025Article
- The heterogeneity of erythroid cells: insight at the single-cell transcriptome level.Cell and tissue research · 2024Review
- miR-1915-3p regulates megakaryocytic and erythroid differentiation by targeting SOCS4.Thrombosis journal · 2024Article
- Identification of HSC/MPP expansion units in fetal liver by single-cell spatiotemporal transcriptomics.Cell research · 2022Article
- Regulatory association of long noncoding RNAs and chromatin accessibility facilitates erythroid differentiation.Blood advances · 2021Article
- Mapping Human Pluripotent Stem Cell-derived Erythroid Differentiation by Single-cell Transcriptome Analysis.Genomics, proteomics & bioinformatics · 2021Article
- Distinct miRNA Signatures and Networks Discern Fetal from Adult Erythroid Differentiation and Primary from Immortalized Erythroid Cells.International journal of molecular sciences · 2021Article
- Putative regulators for the continuum of erythroid differentiation revealed by single-cell transcriptome of human BM and UCB cells.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Genome-Wide Transcriptional Regulation of the Long Non-coding RNA Steroid Receptor RNA Activator in Human Erythroblasts.Frontiers in genetics · 2020Article
- Long noncoding RNABlood science (Baltimore, Md.) · 2019Article
- Besides Pathology: Long Non-Coding RNA in Cell and Tissue Homeostasis.Non-coding RNA · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies on coding genes, miRNAs, and lncRNAs during erythroid development have been performed in recent years. However, analysis focusing on the integration of the three RNA types has yet to be done. In the present study, we compared the dynamics of coding genes, miRNA, and lncRNA expression profiles. To explore dynamic changes in erythropoiesis and potential mechanisms that control these changes in the transcriptome level, we took advantage of high throughput sequencing technologies to obtain transcriptome data from cord blood hematopoietic stem cells and the following four erythroid differentiation stages, as well as from mature red blood cells. Results indicated that lncRNAs were promising cell marker candidates for erythroid differentiation. Clustering analysis classified the differentially expressed genes into four subtypes that corresponded to dynamic changes during stemness maintenance, mid-differentiation, and maturation. Integrated analysis revealed that noncoding RNAs potentially participated in controlling blood cell maturation, and especially associated with heme metabolism and responses to oxygen species and DNA damage. These regulatory interactions were displayed in a comprehensive network, thereby inferring correlations between RNAs and their associated functions. These data provided a substantial resource for the study of normal erythropoiesis, which will permit further investigation and understanding of erythroid development and acquired erythroid disorders.
Indexed as
Identifiers
27272188What OpenQuestion holds
Registered trials
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.