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Activation of Stem-Cell Specific Genes by HOXA9 and HOXA10 Homeodomain Proteins in CD34+ Human Cord Blood Cells.

2004· article· en· W2571839020 on OpenAlexaff
H. Jeffrey Lawrence, Christina M. Ferrell, Sheri T. Dorsam, Hideaki Ohta, R. Keith Humphries, Mika K. Derynck, Chris Haqq, Corey Largman

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicMedicinal Plant Pharmacodynamics Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBiologyHaematopoiesisTranscriptomeCD34Stem cellHox geneGeneMicroarray analysis techniquesGene expressionMolecular biologyCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract There is growing evidence for a role of HOX homeodomain (HD) proteins in normal hematopoiesis. Several HOX genes, including HOXA9 and HOXA10, are expressed in primitive hematopoietic cells, and that expression is down-regulated as cells mature, implying a role in early hematopoietic differentiation. In addition, retrovirally enforced over-expression of either of these two HD proteins results in dramatic expansion of hematopoietic stem cells (HSC). Our laboratory recently published a description of the HOXA9 transcriptome in human leukemic cell lines, using a transient over-expression strategy (Dorsam et al. Blood 2004). In that study we observed changes in the mRNA levels of a large number of genes within 24 hours of introduction of a HOXA9 expression vector in these cells. The modulated targets represented a wide variety of functional groups, including oncogenes, cell-cycle proteins, enzymes, membrane proteins and other transcription factors. Interestingly, a number of these putative targets are known to be part of the transcriptome of normal HSC. This previous study raises questions as to whether the HOXA9 targets identified in aneuploid immortalized myeloid cell lines would match the gene targets in normal hematopoietic cells. To answer this question and to compare target genes of two closely related HD proteins, human CD34+ umbilical cord blood cells were transduced with MSCV-based vectors expressing either HOXA9 or HOXA10, and RNA isolated from these cells was amplified and analyzed with cDNA microarrays. Statistical analysis using the Significance Analysis of Microarrays (SAM) algorithm revealed a common signature of several hundred modulated genes, demonstrating that the transcriptomes of HOXA9 and HOXA10 largely overlap in this cellular context. In a second step, CLUSTER analysis was performed, introducing threshold values to increase the likelihood of the identified genes being truly regulated and of biological significance. Using these more stringent criteria, 115 genes were modulated by one or both of the over-expressed genes. Several genes that were up-regulated by both HOX proteins were validated by quantitative real-time RT-PCR. HOXA9 and HOXA10 showed positive regulation of genes in the Wnt pathway, including Wnt 10b and two Wnt receptors Frizzled 1 and Frizzled 5, a important pathway for hematopoietic stem cell (HSC) self renewal. Other validated targets included Ets-related gene (ERG),, alcohol dehydrogenase 1 (ALDH1) and very long chain acyl-CoA synthetase (VLCS-H1), all of which are known to be expressed in normal CD34+ cells. One down-regulated gene in this survey is CYBB, a respiratory burst oxidase component pg91(phox), which is expressed in myeloid cells, and has previously been shown to be repressed by HOXA10. GenMAPP pathway analysis indicated that HOXA9 and HOXA10 repressed expression of several genes involved in heme biosynthesis and three globin genes, indicating a general suppression of the erythroid maturation program. HOXA9 and HOXA10 both appear to activate many HSC-specific genes while repressing genes involved in hematopoietic differentiation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.387
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2004
Admission routes1
Has abstractyes

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