ArticleCell reports2015
Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
Article in Cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 71 citations in OpenAlex.
- Article
- Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model.PLoS genetics · 2023Article
- The transcription factor DDIT3 is a potential driver of dyserythropoiesis in myelodysplastic syndromes.Nature communications · 2022Article
- Hematotoxic Effect of Respiratory Exposure to PHMG-p and Its Integrated Genetic Analysis.Toxics · 2022Article
- c-Mpl-del, a c-Mpl alternative splicing isoform, promotes AMKL progression and chemoresistance.Cell death & disease · 2022Article
- Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.PLoS computational biology · 2022Article
- Single-cell analysis of transcription factor regulatory networks reveals molecular basis for subtype-specific dysregulation in acute myeloid leukemia.Blood science (Baltimore, Md.) · 2022Article
- Differential Network Analysis Reveals Regulatory Patterns in Neural Stem Cell Fate Decision.Interdisciplinary sciences, computational life sciences · 2021Article
- Network Modeling in Biology: Statistical Methods for Gene and Brain Networks.Statistical science : a review journal of the Institute of Mathematical Statistics · 2021Article
- The Identified Hub Gene GlcN in Osteoarthritis Progression and Treatment.Computational and mathematical methods in medicine · 2021Article
- Reconstructing gene regulatory networks in single-cell transcriptomic data analysis.Zoological research · 2020Review
- Single-cell network biology for resolving cellular heterogeneity in human diseases.Experimental & molecular medicine · 2020Review
- Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma.Biomolecules · 2020Article
- Loss of Kat2a enhances transcriptional noise and depletes acute myeloid leukemia stem-like cells.eLife · 2020Article
- RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart.Frontiers in genetics · 2020Article
- To be red or white: lineage commitment and maintenance of the hematopoietic system by the "inner myeloid".Haematologica · 2019Review
- Network modeling of single-cell omics data: challenges, opportunities, and progresses.Emerging topics in life sciences · 2019Review
- Single-cell transcriptomics unveils gene regulatory network plasticity.Genome biology · 2019Article
- Histone Acetyltransferase KAT2A Stabilizes Pluripotency with Control of Transcriptional Heterogeneity.Stem cells (Dayton, Ohio) · 2018Article
- Mapping gene regulatory networks from single-cell omics data.Briefings in functional genomics · 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 at 2 institutions in 2 countries.
Funding
Abstract
We explore cell heterogeneity during spontaneous and transcription-factor-driven commitment for network inference in hematopoiesis. Since individual genes display discrete OFF states or a distribution of ON levels, we compute and combine pairwise gene associations from binary and continuous components of gene expression in single cells. Ddit3 emerges as a regulatory node with positive linkage to erythroid regulators and negative association with myeloid determinants. Ddit3 loss impairs erythroid colony output from multipotent cells, while forcing Ddit3 in granulo-monocytic progenitors (GMPs) enhances self-renewal and impedes differentiation. Network analysis of Ddit3-transduced GMPs reveals uncoupling of myeloid networks and strengthening of erythroid linkages. RNA sequencing suggests that Ddit3 acts through development or stabilization of a precursor upstream of GMPs with inherent Meg-E potential. The enrichment of Gata2 target genes in Ddit3-dependent transcriptional responses suggests that Ddit3 functions in an erythroid transcriptional network nucleated by Gata2.
Indexed as
Identifiers
What 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.