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Record W7066207799

Hepatic nuclear factor-1A (HNF1A) antisense long non-coding RNA subcellular location and function

2021· dissertation· en· W7066207799 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Manitoba
FundersSaskatchewan Cancer Agency
KeywordsSubcellular localizationHNF1ARNAPAX4GeneCell cultureGene expressionAntisense RNACellHomeobox
DOInot available

Abstract

fetched live from OpenAlex

The human and mouse hepatocyte nuclear factor 1 homeobox A (HNF1A) gene locus expresses the HNF1A transcript and a long non-coding RNA in the antisense (HNF1A-AS1) direction. HNF1A-AS1 is expressed in numerous types of cancers. Poor clinical outcomes such as higher mortality rates, greater metastatic capacity, and poor prognosis of the disease are associated with this expression. It is also involved in metabolic disorders such as fatty liver disease. Since HNF1A-AS1 is mostly localized to the nucleus, it is thought to interfere with gene expression. We studied the expression level and localization of HNF1A-AS1 RNA, HNF1A RNA, and HNF1A protein in both cancer cells and pancreatic beta cells (insulin-secreting cells of the Islets of Langerhans). We also investigated the association of HNF1A-AS1 with polycomb repressive complex 2 (PRC2). A total of four human colon cancer cell lines, including HT-29, HTC116, RKO, SW480, and a normal colon cell line CCD841 along with a lung cancer cell line A549 were cultured. Additionally, we used Min6 cells, a clonal cell line of pancreatic beta cells. Western Blot was done on all samples to quantify HNF1A protein level. RT-qPCR was done to illustrate the expression level of HNF1A-AS1 and HNF1A genes in total cell lysates as well as subcellular compartments. We used triplex domain finder (TDF) for investigating the probability of triplex formation between HNF1A-AS and DNA as well as predicting DNA binding domains of HNF1A-AS along with possible target genes. We have done RNA immunoprecipitation (RIP) to investigate the association of enhancer of zeste homolog 2 (EZH2) as a member of PRC2 complex and HNF1A-AS1. Then anchorage-independent growth assay was done to investigate the effect of inhibiting EZH2 on colony formation in HT-29 and RKO cell lines. Subcellular localization of HNF1A-AS1 varied in different cell types. In adenocarcinomic human alveolar basal epithelial cells (A549), it was localized chiefly in the cytoplasm, while in colorectal adenocarcinoma cells (HT-29) as well as Min6 cells mainly were localized in the nucleus. HNF1A protein was mostly located in the nuclear compartment, while HNF1A RNA was commonly cytoplasmic. Using TDF, we found that HNF1A-AS1 had potential to form a RNA:DNA:DNA triplex with many genomic sites. We showed the association of HNF1A-AS1 with PRC2 complex and the effect of inhibiting EZH2 on colony formation. Possible function of HNF1A-AS1 might be through forming triplex with genomic sites and recruiting EZH2 to the site. This knowledge about the location and the mechanism will increase insight for planning subsequent experimental investigations and hopefully better preventive and therapeutic modalities and consequently improve clinical outcomes in the future.

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 score0.004
Threshold uncertainty score0.012

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)0.0040.001

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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