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Record W2762087850 · doi:10.24870/cjb.2017-a89

Hydrogen sulfide modulates basal metabolic circuitry A transcriptome sequencing assisted insight

2017· article· en· W2762087850 on OpenAlexvenueno aff
Aastha Chhabra, Kalpana Bhargava, Manish Sharma

Bibliographic record

VenueCanadian Journal of Biotechnology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsnot available
Fundersnot available
KeywordsTranscriptomeHydrogen sulfideBasal (medicine)Computational biologyBiologyChemistryCell biologyBiochemistryGeneBiotechnologyGene expression

Abstract

fetched live from OpenAlex

Hydrogen Sulfide (H2S), the third gasomessenger to be discovered after nitric oxide (NO) and carbon monoxide (CO), is known for its distinctive health promoting effects on various organ systems, including cardiovascular system. This molecule has now qualified as an authentic mediator of specific cellular signal transduction pathways [1, 2]. The mechanistic insight into its cyto-protective role however remains incompletely understood. To understand the molecular circuitry regulated by H2S augmentation, we utilized an exogenous donor of H2S, Sodium hydrogen sulfide (NaHS), and performed unbiased global transcriptome sequencing (Illumina) in cardiac cells (H9c2 cardiomyoblasts). These experiments yielded differential transcriptome of the cells with varying levels of H2S (with or without NaHS treatment for 6 hrs). We subjected this dataset to multiple pathway mining tools, including gene ontology analysis, functional annotation clustering and co-expression network analysis, to infer biological themes hidden as concerted differential gene expression signatures [3]. We, interestingly, observed common biological processes in different analysis strategies, suggesting authentic, conserved nature of cellular response to H2S. Biological networks, largely associated with metabolic/ redox processes were recognized; within three gross themes - steroid/ isoprenoid biosynthesis, oxidoreductase coenzyme metabolism (representing pentose phosphate pathway, PPP) and glutathione metabolism. Glucose-6- phosphate dehydrogenase (G6PD) - rate-limiting enzyme within PPP stood as the highest degree node in majority of these networks. Also, genes related to oxidative stress and redox signaling were enriched. Interestingly, these pathways appear to be centrally linked by nicotinamide nucleotide cofactor (NADPH) homeostasis. We further supported this proposition at functional level by performing various enzyme activities besides recording cellular NADP/NADPH and GSH levels in established cellular as well as rat model system. In summary, our data suggested profound influence of H2S on integrated cellular metabolic circuitry modulating redox homeostasis in cardiac cells.

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)0.001
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 score0.119
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.023
GPT teacher head0.241
Teacher spread0.218 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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