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Record W3003222081 · doi:10.1080/15592324.2020.1719312

Stress-seventy subfamily A 4, A member of HSP70, confers yeast cadmium tolerance in the loss of mitochondria pyruvate carrier 1

2020· article· en· W3003222081 on OpenAlexfundno aff
Xin Li, Han Zheng, Lin Shi, Zhongliang Liu, Lilong He, Jianwei Gao

Bibliographic record

VenuePlant Signaling & Behavior · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
FundersProgram for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher LearningAgriculture Funding Consortium
KeywordsBiologyMitochondrionSubfamilyYeastMutantGeneArabidopsisTransporterPhenotypeSaccharomyces cerevisiaeCell biologyArabidopsis thalianaGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Mitochondrial pyruvate carrier (MPC), which transports pyruvate into mitochondria, is a key regulatory element in the material metabolism and energy metabolism. Since MPC was firstly identified in yeast in 2012, many groups have investigated the function of MPC. As MPC is a classic material transporter, the focus of previous studies has been placed on its role in pyruvate transport. In this study, we discovered a novel Cd resistant gene, stress-seventy subfamily A 4 (SSA4), which can recover the Cd sensitive phenotype in the yeast MPC1 mutant strain. It is suggested that, except for adjusting metabolism, MPC can regulate stress tolerance by regulating downstream genes in yeast. Previously, we discovered a Cd related gene, AGP30, which is associated with MPC1 in Arabidopsis. These results indicate that MPC can regulate Cd tolerance through downstream genes in both Arabidopsis and yeast. This study will pave the way for further exploring the bypass pathways of MPC at the molecular level, and the interaction between MPC and the downstream genes in biology.

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 head0.038
GPT teacher head0.241
Teacher spread0.203 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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