In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
20 authors at 5 institutions in 3 countries.
Felix KrausDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-3757-541X Yuchen HeDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-6096-4915 Sharan SwarupDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-0226-5582 Katherine A OvermyerDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-1929-1229 Yizhi JiangDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Johann BrennerMechanisms of Cellular Quality Control, Max Planck Institute of Biophysics, Frankfurt, Germany.ORCID 0000-0003-1306-3564 Cristina CapitanioAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.ORCID 0000-0002-5297-9156 Anna BieberAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.ORCID 0000-0001-5014-6620 Annie JenDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-5569-8387 Nicole M NightingaleDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0009-0004-6917-2406 Benton J AndersonDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-6156-342X Chan LeeDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-5512-8146 Joao A PauloDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4291-413X Ian R SmithDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4966-9333 Jürgen M PlitzkoCryoEM Technology, Max Planck Institute of Biochemistry, Munich, Germany.
Steven P GygiDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Brenda A SchulmanAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.ORCID 0000-0002-3083-1126 Florian WilflingAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.ORCID 0000-0002-6559-7261 Joshua J CoonDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-0004-8253 J Wade HarperDepartment of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-6944-7236 Harvard University · USUniversity of Wisconsin–Madison · USMax Planck Institute of Biochemistry · DEMax Planck Institute of Biophysics · DEMax Planck Institute of Psychiatry · DE
Funding
TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1MEndolysosomal Proteome Landscapes Through the Lens of Neurodegenerative Risk AllelesR01NS110395 · NINDS · HARVARD MEDICAL SCHOOL · PI JEFFREY W HARPER · 2018 to 2026
$4.1MRegulation of PINK1 and PARKIN-Dependent MitophagyR01NS083524 · NINDS · HARVARD MEDICAL SCHOOL · PI HARPER, JEFFREY W · 2020 to 2024
$2.2MAdvancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7MNIGMS NIH HHS P41 GM108538NIGMS NIH HHS R01 GM132129NINDS NIH HHS R01 NS083524NINDS NIH HHS R01 NS110395
6 · The paper itselfAbstract
Lysosomal storage diseases (LSDs) comprise ~50 monogenic disorders marked by the buildup of cellular material in lysosomes, yet systematic global molecular phenotyping of proteins and lipids is lacking. We present a nanoflow-based multi-omic single-shot technology (nMOST) workflow that quantifies HeLa cell proteomes and lipidomes from over two dozen LSD mutants. Global cross-correlation analysis between lipids and proteins identified autophagy defects, notably the accumulation of ferritinophagy substrates and receptors, especially in
Indexed as
autophagycryo-ETferritinophagyiNeuronlipidomicsLysosome storage disordersmitochondrial dysfunctionmulti-omicsproteomics
Identifiers
PMID38585873
PMCPMC10996675
OpenAlexW4393217948
What OpenQuestion holds
Textmetadata
LicenceCC BY
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