Cited by 80Alzheimer's disease research and treatmentsRNA Research and SplicingAmyotrophic Lateral Sclerosis Research

RNA-binding proteins with basic-acidic dipeptide (BAD) domains self-assemble and aggregate in Alzheimer's disease

Open access
Bishof, Isaac, Dammer, Eric B., Duong, Duc M., Kundinger, Sean R., Gearing, Marla, Lah, James J., Levey, Allan I., Seyfried, Nicholas T.·2018·Journal of Biological Chemistry

Published version of a preprint

Abstract

The U1 small nuclear ribonucleoprotein 70 kDa (U1-70K) and other RNA-binding proteins (RBPs) are mislocalized to cytoplasmic neurofibrillary Tau aggregates in Alzheimer's disease (AD), yet the co-aggregation mechanisms are incompletely understood. U1-70K harbors two disordered low-complexity domains (LC1 and LC2) that are necessary for aggregation in AD brain extracts. The LC1 domain contains highly repetitive basic (Arg/Lys) and acidic (Asp/Glu) residues, referred to as a basic-acidic dipeptide (BAD) domain. We report here that this domain shares many of the properties of the Gln/Asn-rich LC domains in RBPs that also aggregate in neurodegenerative disease. These properties included self-assembly into oligomers and localization to nuclear granules. Co-immunoprecipitations of recombinant U1-70K and deletions lacking the LC domain(s) followed by quantitative proteomic analyses were used to resolve functional classes of U1-70K-interacting proteins that depend on the BAD domain for their interaction. Within this interaction network, we identified a class of RBPs with BAD domains nearly identical to that found in U1-70K. Two members of this class, LUC7L3 and RBM25, required their respective BAD domains for reciprocal interactions with U1-70K and nuclear granule localization. Strikingly, a significant proportion of RBPs with BAD domains had elevated insolubility in the AD brain proteome. Furthermore, we show that the BAD domain of U1-70K can interact with Tau from AD brains but not from other tauopathies. These findings highlight a mechanistic role for BAD domains in stabilizing RBP interactions and in potentially mediating co-aggregation with the pathological AD-specific Tau isoforms.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1074/jbc.ra118.001747

Cites

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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 two U1-70K modules linked to RNA splicing ontologies were enriched in proteins with structural and aggregation properties similar to U1-70K that could serve as additional AD biomarkers, such as LUC7L3.

    “These two modules, both linked to RNA splicing ontologies, were enriched in proteins with structural and aggregation properties similar to those of U1-70K that could serve as additional AD biomarkers, such as pre-mRNA splicing factor LUC7L3.”
  • Bishof et al. organized the U1-70K interactome into seven biologically meaningful modules, two of which demonstrated a strong association with pathogenic U1-70K domains.

    “This analysis successfully organized the U1-70K interactome into seven biologically meaningful modules, two of which demonstrated a strong association with pathogenic U1-70K domains.”
  • Aggregation of U1 snRNPs with tau appears unique to the AD brain and absent among other primary tauopathies, such as FTLD.

    “this aggregation of U1 snRNPs with tau appears to be unique to the AD brain and absent among other primary tauopathies, such as FTLD [134, 138].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 82 · Cited by 80

Authors
Bishof, I., Dammer, E. B., Duong, D. M., Kundinger, S. R., Gearing, M., Lah, J. J., Levey, A. I., & Seyfried, N. T.
Affiliations
Emory University (US)
Corresponding author
Seyfried, Nicholas T.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2018-07
Volume
293
Issue
28
Pages
11047-11066
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2803477192
Cited by
80
References
82
Citations by year
2026: 5 · 2025: 7 · 2024: 13 · 2023: 14 · 2022: 7 · 2021: 15 · 2020: 11 · 2019: 5 · 2018: 3
FWCI
5.83
Type
journal article
Language
en
Open access
Locations
  • Journal of Biological Chemistry (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) (F31NS093859, 3T32NS007480, P30NS055077)
  • Alzheimer's Association (11060)
  • HHS | NIH | National Institute on Aging (NIA) (P50AG025688, U01AG046161, R21AG054206, 5R01AG053960)
  • National Institute of General Medical Sciences (T32GM008367)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
Keywords
U1-70K, RNA-binding proteins, Alzheimer's disease, low-complexity domains, protein aggregation, co-aggregation, tau protein, protein-protein interaction, protein insolubility, tauopathy
MeSH terms
Alzheimer Disease, Amino Acid Sequence, Brain, Dipeptides, Humans, RNA-Binding Proteins, tau Proteins, Ribonucleoprotein, U1 Small Nuclear, Protein Interaction Domains and Motifs, Protein Multimerization, 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