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Molecular and Functional Characterization Of The Novel Protein-Coding Gene Tihl (Translocated in Hodgkin’s Lymphoma) in Hematopoiesis

2013· article· en· W2286862949 on OpenAlexaff
Ujunwa Cynthia Okoye-Okafor, Laura Barreyro, Heng Rui Wang, Boris Bartholdy, Britta Will, Tihomira I. Todorova, Swathi-Rao Narayanagari, Mario Pujato, Masahiro Kawahara, Bruce W. Woolcock, Randy D. Gascoyne, Christian Steidl, Ulrich Steidl

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and Retrovirus Studies
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsCIITABiologyHaematopoiesisEctopic expressionCancer researchGene expressionGeneMolecular biologyMajor histocompatibility complexStem cellMHC class IICell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Cell cycling is a tightly regulated process involving the structured expression modulation of various regulatory genes. This process is crucial for the maintenance of cell survival/proliferation in both normal and malignant hematopoietic cells. We have previously described the highly expressed CIITA-BX648577 gene fusion (Steidl C. et al., Nature 2011), involving the novel gene locus BX648577/FLJ27352 /hypothetical LOC 145788/C15orf65 and the Class II Transactivator (CIITA) in the Hodgkin’s lymphoma cell line KM-H2. While CIITA is well known to be involved in the regulation of immune responses, specifically through regulation of the Major Histocompatibility Complex (MHC)-II, nothing is known about the expression and function of the BX648577 locus. The objective of the current study was to (I) study RNA and protein expression of the putative full length gene encoded by the BX648577 (TIHL) gene locus, and (II) study its biological function in normal and malignant hematopoietic cells, including its effects on cell proliferation, clonogenicity and cell death. We detected robust endogenous TIHL RNA and protein expression in a variety of healthy and malignant hematopoietic cell types using quantitative real-time polymerase chain reaction (qRT-PCR) and western blot analysis using a TIHL-specific antibody. At the functional level, we found that ectopic expression of the highly conserved full length TIHL protein in human NB4 leukemia cells and murine hematopoietic progenitor HPC-7 cells leads to enhanced clonogenicity and increased proliferative capacity with significant increases in the percentage of cells in S-phase of the cell cycle. Furthermore, we observed more aggressive leukemia and decreased survival of NSG mice following retro-orbital transplantation of TIHL-expressing compared to empty control-expressing NB4 cells. Interestingly, although we did not observe a change in the rate of cell proliferation or colony forming ability following TIHL overexpression in the ATRA-resistant cell line NB4.306, there was a significant alteration in its cell cycle distribution, with an increase in the fraction of cells in S-phase. The increase in S-phase cells was confirmed by 5-ethynyl-2’-deoxyuridine (EdU) incorporation assays and flow cytometry. Similarly, knockdown of TIHL using 2 independent lentiviral shRNAs, led to a significant decrease in the growth of both NB4 and acute myeloid leukemia KG1a cells in both suspension cultures and semi-solid media. Although we observed slightly increased apoptosis upon TIHL downregulation, the changes could be more significantly attributed to a decrease in the percentage of cells in S-phase within 2-3 days after transduction with the lentiviral shRNAs. Finally, in silico analysis of the TIHL promoter identified various predicted transcriptional regulators of TIHL, the majority of which are cell cycle specific transcription factors including Nuclear Receptor Subfamily 5 Group A Member 1 (NR5A1), the ets domain transcription factors ELF5 and ELF1, and Glioma-Associated Oncogene Homolog 1 (GLI-1). Our findings thus far strongly support a novel role for TIHL in cell cycle regulation/modulation in both normal and malignant hematopoiesis. Future directions include gene expression studies to identify downstream targets of TIHL following overexpression and knockdown and co-immunoprecipitation coupled to mass spectrometry analysis will be used to identify direct interacting protein partners of this novel gene. Disclosures: No relevant conflicts of interest to declare.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.268
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.173
Teacher spread0.165 · 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 teacher head, 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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