Hsp70s Contain a Specific Sulfogalactolipid Binding Site. Differential Aglycone Influence on Sulfogalactosyl Ceramide Binding by Recombinant Prokaryotic and Eukaryotic Hsp70 Family Members
Bibliographic record
Abstract
Specific 3'-sulfogalactolipid [SGL-sulfogalactosyl ceramide (SGCer) and sulfogalactosylglycerolipid (SGG)] binding is compared for hsp70s cloned from Helicobacter pylori, Haemophilus influenzae, Chlamydia trachomatis serovar E, Escherichia coli, murine male germ cells, and the hsp70-like extracellular domain within the sperm receptor from Strongylocentrotus purpuratus. This lectin activity, conserved among the different hsp70 family members, is modulated by the SGL aglycone. This is shown by differential binding to both SGC fatty acid homologues and 3'-sulfogalactolipid neoglycoproteins generated by coupling bovine serum albumin (BSA) and glycosyl ceramide acids synthesized by oxidation of the double bond of sphingosine. Eukaryotic hsp70s preferentially bound the SGCer fatty acid homologues SG(24)Cer, SG(18)Cer, and SG(20:OH)Cer, while prokaryotic hsp70s bound SG(18:1)Cer and SG(20:OH)Cer. Eukaryotic hsp70s bound SGCer-BSA and SG(24)Cer-BSA conjugates where the latter is the main constituent in SGCer-BSA, while prokaryotic hsp70s bound SG(20:OH)Cer-BSA. None of the hsp70s bound sulfogalactosyl sphingosine (SGSph) or SGSph-BSA, further demonstrating the important role of the aglycone. Although the primary SGL recognition domain of all hsp70s is conserved, we propose that aglycone organization differentially influences the interaction with the sub-site. Heterogeneous SGCer aglycone isoforms in cells and the differential in vitro binding of eukaryotic and prokaryotic hsp70s may relate to their different adhesin roles in vivo as mediators of germ cell and bacterial/host interactions, respectively.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".