ReviewExperimental cell research2014
Transcriptional network control of normal and leukaemic haematopoiesis.
Review in Experimental cell research, 2014. 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, 33 citations in OpenAlex.
- Global genome decompaction leads to stochastic activation of gene expression as a first step toward fate commitment in human hematopoietic cells.PLoS biology · 2022Article
- Article
- Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis.Molecular cell · 2020Article
- Targeting Oncogenic Super Enhancers in MYC-Dependent AML Using a Small Molecule Activator of NR4A Nuclear Receptors.Scientific reports · 2020Article
- Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.Cell systems · 2017Review
- Genome-wide association of white blood cell counts in Hispanic/Latino Americans: the Hispanic Community Health Study/Study of Latinos.Human molecular genetics · 2017Article
- The PU.1-Modulated MicroRNA-22 Is a Regulator of Monocyte/Macrophage Differentiation and Acute Myeloid Leukemia.PLoS genetics · 2016Article
- An autonomous CEBPA enhancer specific for myeloid-lineage priming and neutrophilic differentiation.Blood · 2016Article
- Developmental-stage-dependent transcriptional response to leukaemic oncogene expression.Nature communications · 2015Article
- The microRNA feedback regulation of p63 in cancer progression.Oncotarget · 2015Review
- The roles of SNF2/SWI2 nucleosome remodeling enzymes in blood cell differentiation and leukemia.BioMed research international · 2015Review
- CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities.Nucleic acids research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Transcription factors (TFs) play a key role in determining the gene expression profiles of stem/progenitor cells, and defining their potential to differentiate into mature cell lineages. TF interactions within gene-regulatory networks are vital to these processes, and dysregulation of these networks by TF overexpression, deletion or abnormal gene fusions have been shown to cause malignancy. While investigation of these processes remains a challenge, advances in genome-wide technologies and growing interactions between laboratory and computational science are starting to produce increasingly accurate network models. The haematopoietic system provides an attractive experimental system to elucidate gene regulatory mechanisms, and allows experimental investigation of both normal and dysregulated networks. In this review we examine the principles of TF-controlled gene regulatory networks and the key experimental techniques used to investigate them. We look in detail at examples of how these approaches can be used to dissect out the regulatory mechanisms controlling normal haematopoiesis, as well as the dysregulated networks associated with haematological malignancies.
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.