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Record W2596672292 · doi:10.1093/biolreprod/83.s1.502

Roles of Sulfogalactosylglycerolipid (SGG) and Its Binding Proteins in Fertilization.

2010· article· en· W2596672292 on OpenAlexaff
Kessiri Kongmanas, Clarissa Sugeng, Puneet Souda, Julian P. Whitelegge, Kym F. Faull, Nongnuj Tanphaichitr

Bibliographic record

VenueBiology of Reproduction · 2010
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiologySpermCapacitationCell biologyVesicleZona pellucidaOocyteBiochemistryMembraneGeneticsEmbryo

Abstract

fetched live from OpenAlex

SGG is an evolutionarily conserved sulfoglycolipid present at 10 mole% of total lipids on the surface of mammalian male germ cells. On mature sperm, SGG is localized exclusively on the sperm anterior head plasma membrane (APM), the site where sperm interact with zona pellucida (ZP). We have shown that SGG not only has direct ZP affinity, but also plays an important role in the formation of capacitated sperm lipid rafts, which possess ZP binding ability. Also, SGG and its analog, Sulfogalactosylceramide (SGC), possess affinity for a number of molecules, including heat shock protein 70 (Hsp70) and a ZP-binding protein, arylsulfatase A (ASA), both existing in lipid rafts. Since SGG is present abundantly in sperm APM, we hypothesize that it may recruit other sperm surface proteins important for fertilization to the APM region during capacitation. Synergistic action between SGG and these APM proteins, which may also have SGG affinity, would stabilize the binding of sperm to the ZP. Nitrogen cavitation at 650 psi selectively disrupts the APM. APM vesicles containing lipids and membranous proteins can be pelletted upon ultracentrifugation, whereas peripheral plasma membrane proteins of the APM would remain in the supernatant (SN). Notably, the levels of APM vesicles from capacitated sperm were higher than those from non-capacitated gametes, confirming the significance of APM vesicles in ZP binding. Our proteomic analysis further revealed a number of ZP binding proteins in these vesicles, including SED1, zonadhesin, angiotensin converting enzyme, Sp32, and glutathione S-transferase mu 2 (GST). Some of these proteins may have direct SGG affinity. In fact, our initial attempt to characterize SGG binding proteins using the "SN" fraction indicated that SP-10, Sp32, and GST, all with a similar molecular mass range (25-28 kDa), formed complexes with SGG liposomes, which could then be floated up in a sucrose gradient by ultracentrifugation. Similar experimental approaches are being carried out to identify SGG binding proteins in APM vesicles, with the expectation that some of them would have ZP affinity. Interestingly, chaperone proteins, Hsp70 and Hsp86, were also present in higher amounts in APM vesicles of capacitated sperm. Hsp70 is known to oligomerize upon its binding to SGC. We therefore propose that SGG may induce oligomerization of Hsp70 and perhaps also Hsp86 in the APM entity, especially in capacitated sperm. This would promote the clustering of ZP binding proteins and subsequently their synergistic action in ZP binding. Experiments are underway to validate this hypothesis. Our study should reveal whether SGG can recruit ZP binding proteins to the APM entity via its direct affinity to these proteins and/or indirect influence through their interaction with the chaperone proteins, Hsp70 and Hsp86. Funded by CIHR, NSERC, and DPST (The Development and Promotion of Science and Technology Talented Project Thailand scholarship). (poster)

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 score0.001
Threshold uncertainty score0.002

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 head0.018
GPT teacher head0.265
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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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