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Record W2334892570 · doi:10.1021/ja907659u

The Functional Significance of Lipid Diversity: Orientation of Cholesterol in Bilayers Is Determined by Lipid Species

2009· article· en· W2334892570 on OpenAlexaff
Norbert Kučerka, Drew Marquardt, Thad A. Harroun, Mu‐Ping Nieh, Stephen R. Wassall, John Katsaras

Bibliographic record

VenueJournal of the American Chemical Society · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsUniversity of GuelphBrock University
Fundersnot available
KeywordsChemistryCholesterolLipid bilayerOrientation (vector space)BiophysicsBiochemistryMembrane

Abstract

fetched live from OpenAlex

The chemical diversity of lipids and their complex arrangements in supramolecular assemblies are in stark contrast to our previous notions of them as passive structural components. For example, in plasma membranes, sphingolipids are primarily located in the outer monolayer, whereas unsaturated phospholipids are more abundant in the inner leaflet. Our recent results offer a direct contribution to the importance of lipid diversity in biological membranes. We have studied the location of cholesterol within polyunsaturated fatty acid (PUFA) bilayers doped with different amounts of monounsaturated (POPC) or disaturated (DMPC) lipids. Using deuterium labeling and neutron diffraction, we have found that in PUFA bilayers, cholesterol can be flipped from its known position in the bilayer center to its commonly assumed upright orientation simply by varying the amount of POPC. Although it takes approximately 50 mol % POPC to flip cholesterol in PUFA bilayers, the same effect is achieved with only 5 mol % DMPC, elegantly emphasizing cholesterol's affinity for saturated chains. It also suggests that the presence of PUFA in the inner leaflet of a cellular bilayer may enhance the transfer of cholesterol to the outer layer, potentially modifying raft composition and the local function of a membrane.

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)0.000
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 score0.038
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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

Citations54
Published2009
Admission routes1
Has abstractyes

Explore more

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