The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Structure, lipid scrambling activity and role in autophagosome formation of ATG9A
Open accessAbstract
De novo formation of the double-membrane compartment autophagosome is seeded by small vesicles carrying membrane protein autophagy-related 9 (ATG9), the function of which remains unknown. Here we find that ATG9A scrambles phospholipids of membranes in vitro. Cryo-EM structures of human ATG9A reveal a trimer with a solvated central pore, which is connected laterally to the cytosol through the cavity within each protomer. Similarities to ABC exporters suggest that ATG9A could be a transporter that uses the central pore to function. Moreover, molecular dynamics simulation suggests that the central pore opens laterally to accommodate lipid headgroups, thereby enabling lipids to flip. Mutations in the pore reduce scrambling activity and yield markedly smaller autophagosomes, indicating that lipid scrambling by ATG9A is essential for membrane expansion. We propose ATG9A acts as a membrane-embedded funnel to facilitate lipid flipping and to redistribute lipids added to the outer leaflet of ATG9 vesicles, thereby enabling growth into autophagosomes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“ATG9A knockout in HeLa cells and mouse embryonic fibroblasts resulted in fewer but larger LC3 puncta that colocalize with ubiquitin and p62 [50, 55].”
From miRNA family miR-29 inhibits PINK1-PRKN signaling via ATG9A (2026) · cites this paper as [50]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“ATG9A forms a homotrimer with a wide, solvated central pore and a lateral cavity [50].”
From miRNA family miR-29 inhibits PINK1-PRKN signaling via ATG9A (2026) · cites this paper as [50]
The cited source says what the claim attributes to it.
In the citing paper
“ATG9A was more recently shown to act as a lipid scramblase facilitating membrane expansion [50, 51].”
From miRNA family miR-29 inhibits PINK1-PRKN signaling via ATG9A (2026) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J., Impey, R., & Klein, M. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 38,397
Features and development of Coot
Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems
Darden, T., York, D., & Pedersen, L. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464397 · Cited by 29,638
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
MolProbity : all-atom structure validation for macromolecular crystallography
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S., & Richardson, D. C. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909042073 · Cited by 14,115
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
Punjani, A., Rubinstein, J. L., Fleet, D. J., & Brubaker, M. A. (2017) · Nature Methods · doi:10.1038/nmeth.4169 · Cited by 11,626
Liebschner, D., Afonine, P. V., Baker, M. L., Bunkóczi, G., Chen, V. B., Croll, T. I., Hintze, B., Hung, L.-W., Jain, S., McCoy, A. J., et al. (2019) · Acta Crystallographica Section D Structural Biology · doi:10.1107/s2059798319011471 · Cited by 7,953
MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy
Zheng, S. Q., Palovcak, E. J., Armache, J., Verba, K. A., Cheng, Y., & Agard, D. A. (2017) · Nature Methods · doi:10.1038/nmeth.4193 · Cited by 7,496
CHARMM36m: an improved force field for folded and intrinsically disordered proteins
Huang, J., Rauscher, S., Nawrocki, G., Ran, T., Feig, M., de Groot, B. L., Grubmüller, H., & MacKerell, A. D. (2016) · Nature Methods · doi:10.1038/nmeth.4067 · Cited by 7,334
Cited by
Sorted by citations
Autophagy genes in biology and disease
Yamamoto, H., Zhang, S., & Mizushima, N. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-022-00562-w · Cited by 650
Self-citationMechanisms of Selective Autophagy
Lamark, T., & Johansen, T. (2021) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-120219-035530 · Cited by 429
Autophagy in metabolic disease and ageing
Kitada, M., & Koya, D. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00551-9 · Cited by 421
Ghanbarpour, A., Valverde, D. P., Melia, T. J., & Reinisch, K. M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101562118 · Cited by 244
Reggiori, F., & Molinari, M. (2022) · Physiological Reviews · doi:10.1152/physrev.00038.2021 · Cited by 232
Metadata
- Authors
- Maeda, S., Yamamoto, H., Kinch, L. N., Garza, C. M., Takahashi, S., Otomo, C., Grishin, N. V., Forli, S., Mizushima, N., & Otomo, T.
- Affiliations
- Scripps Research Institute (US)
- The University of Tokyo (JP)
- Howard Hughes Medical Institute (US)
- Tokyo Medical and Dental University (JP)
- Corresponding author
- Otomo, Takanori
- ORCID
- Venue
- Nature Structural & Molecular Biology
- Published
- 2020-10-26
- Volume
- 27
- Issue
- 12
- Pages
- 1194-1201
- ISSN
- 1545-9985 (ISSN-L)
- 1545-9993
- PMC
- PMC7718406
- OpenAlex
- W3093507769
- Cited by
- 305
- References
- 88
- Citations by year
- 2026: 35 · 2025: 48 · 2024: 50 · 2023: 59 · 2022: 60 · 2021: 52 · 2020: 1
- FWCI
- 31.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Structural & Molecular Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (1s10od021634-01)
- National Institute of General Medical Sciences (R35GM127390, R01GM069832, R01GM092740)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- Keywords
- ATG9A, autophagosome formation, lipid scrambling, membrane protein structure, ABC transporters, central pore, membrane expansion, cryo-EM structure, molecular dynamics simulation
- MeSH terms
- Autophagosomes, Autophagy-Related Proteins, Protein Conformation, alpha-Helical, Protein Conformation, beta-Strand, Red Fluorescent Protein, Animals, Binding Sites, Biological Transport, Cell Line, Fibroblasts, HeLa Cells, Humans, Lipid Bilayers, Luminescent Proteins, Membrane Proteins, Phospholipids, Protein Binding, Proteolipids, Recombinant Fusion Proteins, Gene Expression, Cryoelectron Microscopy, Vesicular Transport Proteins, Green Fluorescent Proteins, Mice, Protein Interaction Domains and Motifs, Protein Multimerization, Molecular Dynamics Simulation, HEK293 Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review