ArticleBMC genomics2007
Genomic expression during human myelopoiesis.
Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Combining bioinformatics, network pharmacology and artificial intelligence to predict the mechanism of celastrol in the treatment of type 2 diabetes.Frontiers in endocrinology · 2022Article
- Cohesin Members Stag1 and Stag2 Display Distinct Roles in Chromatin Accessibility and Topological Control of HSC Self-Renewal and Differentiation.Cell stem cell · 2019Article
- Chromosome positioning in interphase nuclei of hematopoietic stem cell and myeloid precursor.Hematology reports · 2018Article
- Dual role of IL-21 in megakaryopoiesis and platelet homeostasis.Haematologica · 2017Article
- Restoration of MYC-repressed targets mediates the negative effects of GM-CSF on RUNX1-ETO leukemogenicity.Leukemia · 2017Article
- Remodeling of nuclear landscapes during human myelopoietic cell differentiation maintains co-aligned active and inactive nuclear compartments.Epigenetics & chromatin · 2015Article
- Integrated differential transcriptome maps of Acute Megakaryoblastic Leukemia (AMKL) in children with or without Down Syndrome (DS).BMC medical genomics · 2014Article
- Lineage-based identification of cellular states and expression programs.Bioinformatics (Oxford, England) · 2012Article
- p53-Independent, normal stem cell sparing epigenetic differentiation therapy for myeloid and other malignancies.Seminars in oncology · 2012Review
- CpG methylation patterns and decitabine treatment response in acute myeloid leukemia cells and normal hematopoietic precursors.Leukemia · 2012Article
- Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data.BioData mining · 2011Article
- TRAM (Transcriptome Mapper): database-driven creation and analysis of transcriptome maps from multiple sources.BMC genomics · 2011Article
- Dynamic interaction networks in a hierarchically organized tissue.Molecular systems biology · 2010Article
- Integrated analysis of microRNA and mRNA expression profiles in physiological myelopoiesis: role of hsa-mir-299-5p in CD34+ progenitor cells commitment.Cell death & disease · 2010Article
- Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.Nucleic acids research · 2009Article
- Evidence of inflammatory immune signaling in chronic fatigue syndrome: A pilot study of gene expression in peripheral blood.Behavioral and brain functions : BBF · 2008Article
- Inferring differentiation pathways from gene expression.Bioinformatics (Oxford, England) · 2008Article
- Role of neutrophils in innate immunity: a systems biology-level approach.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHuman myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where multipotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization.
resultsGene expression data from 24 experiments for 8 different cell types of the human myelopoietic lineage were used to generate an integrated myelopoiesis dataset of 9,425 genes, each reliably associated to a unique genomic position and chromosomal coordinate. Lists of genes constitutively expressed or silent during myelopoiesis and of genes differentially expressed in commitment phase of myelopoiesis were first identified using a classical data analysis procedure. Then, the genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. This approach allowed identifying specific chromosomal regions significantly highly or weakly expressed, and clusters of differentially expressed genes and of transcripts related to specific functional modules.
conclusionThe analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
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.