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Record W2091450793 · doi:10.1016/j.cellbi.2004.12.006

Intracellular localization of small heat shock protein, hsp30, in A6 kidney epithelial cells

2005· article· en· W2091450793 on OpenAlexafffund
M GELLALCHEW, Johanna Heikkilä

Bibliographic record

VenueCell Biology International · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Waterloo
FundersUniversity of WaterlooCanada Research Chairs
KeywordsSodium arseniteHeat shock proteinCell biologyCytoplasmCytoskeletonBiologyImmunostainingNucleolusHeat shockMolecular biologyNucleusChemistryCellBiochemistryImmunohistochemistryImmunologyGene

Abstract

fetched live from OpenAlex

Small heat shock proteins (shsps) are molecular chaperones that are inducible by environmental stress. In this study, immunocytochemical analysis and laser scanning confocal microscopy revealed that the shsp family, hsp30, was localized primarily in the cytoplasm of Xenopus A6 kidney epithelial cells after heat shock or sodium arsenite treatment. Heat shock-induced hsp30 was enriched in the perinuclear region with some immunostaining in the nucleus but not in the nucleolus. In sodium arsenite-treated cells hsp30 was enriched towards the cytoplasmic periphery as well as showing some immunostaining in the nucleus. At higher heat shock temperatures (35 degrees C) or after 10 microM sodium arsenite treatment, the actin cytoskeleton displayed some disorganization that co-localized with areas of hsp30 enrichment. Treatment of A6 cells with 50 microM sodium arsenite induced a collapse of the cytoskeleton around the nucleus. These results coupled with previous studies suggest that stress-inducible hsp30 acts as a molecular chaperone primarily in the cytoplasm and may interact with cytoskeletal proteins.

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 score0.002
Threshold uncertainty score0.003

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)0.0010.000

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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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

Citations27
Published2005
Admission routes2
Has abstractyes

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