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Record W4220785423 · doi:10.1016/j.tcb.2022.02.009

Transsulfuration, minor player or crucial for cysteine homeostasis in cancer

2022· review· en· W4220785423 on OpenAlexafffund
Haifeng Zhang, Ramon I. Klein Geltink, Seth J. Parker, Poul H. Sorensen

Bibliographic record

VenueTrends in Cell Biology · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsSpinal Cord Injury BCUniversity of British ColumbiaBC Children's HospitalTerry Fox Research InstituteBC Cancer Agency
FundersInstitute of BioMed-IT, Energy-IT and Smart-IT Technology (Best), Yonsei UniversityCanadian Institutes of Health ResearchNational Cancer InstituteNational Institutes of HealthMichael Smith Health Research BCLotte and John Hecht Memorial FoundationEntertainment Industry FoundationSt. Baldrick's FoundationAmerican Association for Cancer Research
KeywordsTranssulfurationCysteineBiologyCystineCysteine metabolismCystathionine beta synthaseBiochemistryCancerMetabolismAmino acidGeneticsEnzyme

Abstract

fetched live from OpenAlex

Cysteine, a thiol-containing amino acid, is crucial for the synthesis of sulfur-containing biomolecules that control multiple essential cellular activities. Altered cysteine metabolism has been linked to numerous driver oncoproteins and tumor suppressors, as well as to malignant traits in cancer. Cysteine can be acquired from extracellular sources or synthesized de novo via the transsulfuration (TSS) pathway. Limited availability of cystine in tumor interstitial fluids raises the possible dependency on de novo cysteine synthesis via TSS. However, the contribution of TSS to cancer metabolism remains highly contentious. Based on recent findings, we provide new perspectives on this crucial but understudied metabolic pathway in cancer.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.115
GPT teacher head0.410
Teacher spread0.296 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations131
Published2022
Admission routes2
Has abstractno

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