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Record W4396992045 · doi:10.1681/asn.20213210s1364d

Molecular Insights into the Structural and Dynamical Changes of Calcium Channel TRPV6 Induced by Its Interaction with Phosphatidylinositol 4,5-Bisphosphate

2021· article· en· W4396992045 on OpenAlexaff
Lingyun Wang, Ruiqi Cai, Xing‐Zhen Chen, Ji‐Bin Peng

Bibliographic record

VenueJournal of the American Society of Nephrology · 2021
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTRPV6Phosphatidylinositol 4,5-bisphosphatePhosphatidylinositolCalciumCalcium channelBiophysicsNeuroscienceCell biologyChemistryBiologyCalcium metabolismInternal medicineMedicineSignal transduction

Abstract

fetched live from OpenAlex

Background: Transient receptor potential vanilloid subfamily member 6 (TRPV6) is a Ca2+-selective channel that mediates Ca2+ entry into epithelial cells as the first step of the transcellular Ca2+ transport pathway. TRPV6 is expressed in the kidney, intestine, and other epithelial tissues, and the dysregulation of this channel has been implicated in cancers. TRPV6 and its close homologue TRPV5 are activated by phosphatidylinositol 4,5-bisphosphate (PIP2); however, it is less clear how PIP2 activates TRPV6 at the molecular level. Methods: Recently, a structure of rabbit TRPV5 in complex with dioctanoyl (diC8) PIP2, a soluble form of PIP2, was determined by cryo-electron microscopy. Based on this structure, a structural model of human TRPV6 with PIP2 was set up. This model was then embedded in a 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid bilayer with water molecules added on both sides of the bilayer using CHARMM-GUI. Using the AMBER18 software, three 500-ns molecular dynamics simulations were performed for the two systems of TRPV6 with and without PIP2. Results: Interaction energy analyses show that the positively charged residues K300, R302, R305, K484, and R584 of TRPV6 play important roles in the binding of PIP2, which is consistent with the structural data that residues R302 and K484 in TRPV5 are responsible for the binding of diC8 PIP2. The binding of PIP2 to TRPV6 increases the distance between the diagonally opposed residues D542 in the selectivity filter as well as the distance between the diagonally opposed residues M578 in the lower gate. Secondary structure and density analyses show that residue M578 in TRPV6 in the presence of PIP2 undergoes structural and position changes, suggesting the opening of the lower gate. Principal component analysis also indicates that the binding of PIP2 increases the dynamic motion of both the selectivity filter and the lower gate of TRPV6. Conclusions: Simulation results indicate that PIP2 increases the fluctuation of the key residues in both the selectivity filter and the lower gate of TRPV6. In addition, PIP2 reduces the helix occupancy of a key residue in the lower gate. Furthermore, the diameters of both the selectivity filter and the lower gate are increased by PIP2. These changes likely contribute to the opening of the TRPV6 channel. Funding: NIDDK Support

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 score0.008

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.275
Teacher spread0.257 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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