Evidence map›Paper›PMID 40781244›Full record

ArticleNature communications2025

Structure and function of the human apoptotic scramblase Xkr4.

Sayan Chakraborty, Zhang Feng, Sangyun Lee, Omar E Alvarenga, Aniruddha Panda, Shuming Zhang, Renato Bruni, George Khelashvili, Kallol Gupta, Alessio Accardi

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Brain Sphingolipid and Phospholipid Levels Are Altered in XK Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sayan Chakraborty *Department of Anesthesiology, Weill Cornell Medical College, New York, NY, 10027, USA.ORCID http://orcid.org/0000-0002-2580-5097
Zhang Feng *Department of Anesthesiology, Weill Cornell Medical College, New York, NY, 10027, USA.ORCID http://orcid.org/0000-0002-5623-7416
Sangyun Lee *Department of Anesthesiology, Weill Cornell Medical College, New York, NY, 10027, USA.ORCID http://orcid.org/0000-0001-6272-4678
Omar E AlvarengaPhysiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medical College, New York, NY, 10027, USA.
Aniruddha PandaNanobiology Institute, Yale University, West Haven, CT, 06516, USA.
Shuming ZhangDepartment of Anesthesiology, Weill Cornell Medical College, New York, NY, 10027, USA.
Renato BruniCenter on Membrane Protein Production and Analysis (COMPPÅ), New York Structural Biology Center, New York, NY, 10027, USA.
George KhelashviliDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, 10027, USA.ORCID http://orcid.org/0000-0001-7235-8579
Kallol GuptaNanobiology Institute, Yale University, West Haven, CT, 06516, USA.ORCID http://orcid.org/0000-0002-3557-3242
Alessio AccardiDepartment of Anesthesiology, Weill Cornell Medical College, New York, NY, 10027, USA. ala2022@med.cornell.edu.ORCID http://orcid.org/0000-0002-6584-0102

Funding

TRD #3: An automated and streamlined pipeline for in-situ molecular microscopyP41GM103310 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI DE MARCO, ALEX, KIEFT, JEFFREY S · 2012 to 2021
$14.7M
Training (303-338)P41GM116799 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI HENDRICKSON, WAYNE A. · 2016 to 2020
$7.1M
Structural basis of apoptotic scramblingR01AI178180 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI Alessio Accardi · 2024 to 2026
$2.0M
Understanding organization of membrane proteins and lipids through lipid vesicle native mass spectrometryR01GM141192 · NIGMS · YALE UNIVERSITY · PI GUPTA, KALLOL · 2021 to 2025
$1.9M
Molecular Biophysics Training ProgramT32GM132081 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Olga Boudker, David Eliezer · 2020 to 2026
$1.3M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) R01AI178180NIAID NIH HHS R01 AI178180NIGMS NIH HHS P41 GM103310NIGMS NIH HHS P41 GM116799NIGMS NIH HHS R01 GM141192NIGMS NIH HHS T32 GM132081NSF | Directorate for Biological Sciences (BIO) 1746886U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM141192
6 · The paper itself

Abstract

Phosphatidylserine externalization on the surface of dying cells is a key signal for their recognition and clearance by macrophages and is mediated by members of the X-Kell related (Xkr) protein family. Defective Xkr-mediated scrambling impairs clearance, leading to inflammation. It was proposed that activation of the Xkr4 apoptotic scramblase requires caspase cleavage, followed by dimerization and ligand binding. Here, using a combination of biochemical approaches we show that purified monomeric, full-length human Xkr4 (hXkr4) scrambles lipids. CryoEM imaging shows that hXkr4 adopts a novel conformation, where three conserved acidic residues create a negative electrostatic surface embedded in the membrane. Molecular dynamics simulations show this conformation induces membrane thinning, which could promote scrambling. Thinning is ablated or reduced in conditions where scrambling is abolished or reduced. Our work provides insights into the molecular mechanisms of hXkr4 scrambling and suggests the ability to thin membranes might be a general property of active scramblases.

Indexed as

ApoptosisPhospholipid Transfer ProteinsCell MembraneCryoelectron MicroscopyHumansMolecular Dynamics SimulationPhosphatidylserinesProtein ConformationPhosphatidylserinesPhospholipid Transfer Proteins

Identifiers

PMID40781244
PMCPMC12334663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.