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Record W1990011646 · doi:10.1021/bi049036k

Molecular Cloning of Bovine Cardiac Muscle Heat-Shock Protein 70 kDa and Its Phosphorylation by cAMP-Dependent Protein Kinase in Vitro

2004· article· en· W1990011646 on OpenAlexafffund
Ashakumary Lakshmikuttyamma, Ponniah Selvakumar, Deborah H. Anderson, Raju Datla, Rajendra K. Sharma

Bibliographic record

VenueBiochemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsPlant Biotechnology InstituteSaskatchewan Cancer AgencyUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsHSPA14HSPA4PhosphorylationBiologyHsp70Complementary DNAMolecular biologyHeat shock proteinProtein kinase APeptide sequenceCardiac muscleBiochemistryOpen reading framePhosphataseGene

Abstract

fetched live from OpenAlex

The 70-kDa heat-shock protein (Hsp70) has been cloned and sequenced from bovine cardiac muscle. On the basis of sequence features, the gene corresponds to the cytoplasmic form of Hsp70. This cardiac Hsp70 cDNA clone has an open reading frame of 1926 bp coding for 641 amino acids and a predicted molecular mass of 70.25 kDa. Comparison of the amino acid sequence revealed an extensive sequence identity with other species of Hsp70. Escherichia coli expressed cardiac Hsp70 stimulated a 2-fold increase in calcineurin (CaN) activity. Notably, we observed that Hsp70 directly interacts with CaN using a pull-down assay. Furthermore, expressed cardiac-specific Hsp70 was phosphorylated in vitro by cAMP-dependent protein kinase. Phosphorylation resulted in the incorporation of 0.1 mol of phosphate per mol of Hsp70. The phosphorylated Hsp70 was unable to activate the phosphatase activity of CaN. This is the first demonstration that Hsp70 is phosphorylated by cAMP-dependent protein kinase and provides an on/off switch for the regulation of CaN signaling by Hsp70.

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.006
GPT teacher head0.245
Teacher spread0.238 · 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

Citations20
Published2004
Admission routes2
Has abstractyes

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