The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Network Organization of the Huntingtin Proteomic Interactome in Mammalian Brain
Open accessAbstract
We used affinity-purification mass spectrometry to identify 747 candidate proteins that are complexed with Huntingtin (Htt) in distinct brain regions and ages in Huntington's disease (HD) and wild-type mouse brains. To gain a systems-level view of the Htt interactome, we applied Weighted Correlation Network Analysis to the entire proteomic data set to unveil a verifiable rank of Htt-correlated proteins and a network of Htt-interacting protein modules, with each module highlighting distinct aspects of Htt biology. Importantly, the Htt-containing module is highly enriched with proteins involved in 14-3-3 signaling, microtubule-based transport, and proteostasis. Top-ranked proteins in this module were validated as Htt interactors and genetic modifiers in an HD Drosophila model. Our study provides a compendium of spatiotemporal Htt-interacting proteins in the mammalian brain and presents an approach for analyzing proteomic interactome data sets to build in vivo protein networks in complex tissues, such as the brain.
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?
In the citing paper
“Interestingly, in vivo PPI screening by large-scale co-immunoprecipitation and mass spectrometry provided tissue- and time-specific information that was not found by Y2H studies167.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [167]
In the citing paper
“WGCNA identified spatially and temporally specific modules associated with mutant Htt (which encodes huntingtin); and proteins with high intra-modular connectivity (hub proteins) modulated neurodegeneration in flies.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [167]
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Self-citationHuang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
MACDONALD, M. (1993) · Cell · doi:10.1016/0092-8674(93)90585-e · Cited by 8,366
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684
Self-citationHierarchical Organization of Modularity in Metabolic Networks
Ravasz, E., Somera, A. L., Mongru, D. A., Oltvai, Z. N., & Barabási, A.-L. (2002) · Science · doi:10.1126/science.1073374 · Cited by 4,224
A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics
Liu, H., Sadygov, R. G., & Yates, J. R. (2004) · Analytical Chemistry · doi:10.1021/ac0498563 · Cited by 2,534
Adapting Proteostasis for Disease Intervention
Balch, W. E., Morimoto, R. I., Dillin, A., & Kelly, J. W. (2008) · Science · doi:10.1126/science.1141448 · Cited by 2,495
Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R
Langfelder, P., Zhang, B., & Horvath, S. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btm563 · Cited by 1,892
Self-citationTranscriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
Voineagu, I., Wang, X., Johnston, P., Lowe, J. K., Tian, Y., Horvath, S., Mill, J., Cantor, R. M., Blencowe, B. J., & Geschwind, D. H. (2011) · Nature · doi:10.1038/nature10110 · Cited by 1,874
Self-citation
Cited by
Sorted by citations
Saudou, F., & Humbert, S. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.003 · Cited by 945
Proteostasis impairment in protein-misfolding and -aggregation diseases
Hipp, M. S., Park, S.-H., & Hartl, F. U. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.05.003 · Cited by 683
Extrasynaptic NMDA Receptor Involvement in Central Nervous System Disorders
Parsons, M. P., & Raymond, L. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.030 · Cited by 567
Vesicular Glycolysis Provides On-Board Energy for Fast Axonal Transport
Zala, D., Hinckelmann, M.-V., Yu, H., da Cunha, M. M. L., Liot, G., Cordelières, F. P., Marco, S., & Saudou, F. (2013) · Cell · doi:10.1016/j.cell.2012.12.029 · Cited by 494
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders
Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430
Self-citation
Metadata
- Authors
- Shirasaki, D. I., Greiner, E. R., Al-Ramahi, I., Gray, M., Boontheung, P., Geschwind, D. H., Botas, J., Coppola, G., Horvath, S., Loo, J. A., & Yang, X. W.
- Affiliations
- University of California, Los Angeles (US)
- Baylor College of Medicine (US)
- Corresponding author
- Loo, Joseph A.
- Yang, X. William
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 75
- Issue
- 1
- Pages
- 41-57
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3432264
- OpenAlex
- W2028159081
- Cited by
- 297
- References
- 77
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 17 · 2023: 13 · 2022: 28 · 2021: 31 · 2020: 26 · 2019: 18 · 2018: 27 · 2017: 28 · 2016: 22 · 2015: 19 · 2014: 22 · 2013: 19 · 2012: 1
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R37MH060233)
- National Institute on Drug Abuse (R01DA030913)
- National Institute of General Medical Sciences (T32GM008496, R01GM103479)
- National Institute of Neurological Disorders and Stroke (T32NS043124, R01NS049501, R01NS074312, P30NS062691)
- National Center for Research Resources (R01RR020004, R01RR20004)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- huntingtin, protein-protein interaction network, Huntington's disease, brain regions, age-related changes, microtubule transport, proteostasis, genetic modifiers, Drosophila model, weighted gene co-expression network analysis
- MeSH terms
- Huntingtin Protein, Animals, Brain, Disease Models, Animal, Drosophila, Female, Humans, Mice, Transgenic, Nerve Tissue Proteins, Proteomics, Mice, Gene Regulatory Networks
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