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Record W2015272348 · doi:10.1073/pnas.0401591102

Heparan 2- <i>O</i> -sulfotransferase, <i>hst-2</i> , is essential for normal cell migration in <i>Caenorhabditis elegans</i>

2005· article· en· W2015272348 on OpenAlexfundno aff
Tarja Kinnunen, Zebo Huang, Joanne Townsend, Michelle M. Gatdula, Jillian R. Brown, Jeffrey D. Esko, Jeremy E. Turnbull

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesMedical Research CouncilUniversity of California, IrvineNational Institutes of HealthSchool of Medicine, New York UniversityYork UniversityWellcome Trust
KeywordsCaenorhabditis elegansHeparan sulfateSulfotransferaseBiologyMutantCell biologyProteoglycanPerlecanGeneMutationCellGeneticsBiochemistrySulfationExtracellular matrix

Abstract

fetched live from OpenAlex

The importance of heparan sulfate proteoglycans has been highlighted by a number of human genetic disorders associated with mutations in genes encoding for heparan sulfate proteoglycan protein cores or biosynthetic enzymes required for heparan sulfate (HS) assembly. To study the functional role of HS in Caenorhabditis elegans development cosmid sequence C34F6.4 was identified as the C. elegans ortholog of vertebrate heparan 2-O-sulfotransferase (HS2ST) and the gene named hst-2. HS2ST activity is present in C. elegans and is completely absent in a deletion mutant of hst-2, ok595, and specifically reduced by hst-2 RNA interference. Expression of hst-2 in CHO cells deficient in HS2ST rescues enzyme activity and binding of FGF2 to cell surface HS. hst-2 expression is found in the hypodermis, muscle, distal tip cells (DTCs), and in neurons. A null mutation in hst-2 causes cell migration defects. This work demonstrates sulfotransferase activity in C. elegans and indicates that specific 2-O-sulfate modifications are critical for normal HS functions in controlling cell migration.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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

Citations84
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicGenetics, Aging, and Longevity in Model OrganismsFrench-language works237,207