Biology subjects

Vargas, L.

Publications and source records attributed to Vargas, L..

3 recordsLinked to original sources

bioRxiv2026

Striatal interneuron microcircuits gate reinforcement to stabilize adaptive choice

The dorsomedial striatum guides learning and adaptive decision-making through excitatory synaptic control of its spiny projection neuron outputs. However, the contributions of local inhibitory microcircuitry remain poorly understood. Here, we identify an interneuron circuit in the dorsomedial striatum that links outcome processing to adaptive action selection. During probabilistic push-pull reversal learning, interneurons represented immediate outcomes: somatostatin interneurons were recruited on unrewarded trials and unexpected rewarded trials, whereas tyrosine hydroxylase interneurons were suppressed on unrewarded trials and recruited on rewarded trials. In vivo recruitment of tyrosine hydroxylase interneurons suppressed somatostatin interneuron activity and increased activity in both direct- and indirect-pathway striatal projection neurons, revealing a polysynaptic disinhibitory microcircuit. Transient inhibition of somatostatin interneurons in this pull-tuned region produced a sustained increase in aberrant pull choices and occupancy of a suboptimal pull-preferring behavioral state, whereas inhibition of tyrosine hydroxylase interneurons produced a sustained impairment of pull reinforcement. Longer-term policy changes following somatostatin interneuron inhibition coincided with postsynaptic potentiation of excitatory synapses onto striatal projection neurons, suggesting a potential substrate for the persistence of altered behavioral policies. Together, these findings identify a disinhibitory striatal circuit motif gating reinforcement which transforms individual trial outcomes into temporally broader policy.

neuroscience↗

bioRxiv2023

Characterization of the RBM15 protein binding with XCI-escaping long noncoding RNAs

The RNA binding motif 15 protein (RBM15) plays a critical role in post-transcriptional regulation. Its role in facilitating N6-methyladenosine (m6A) modification, specifically through guiding the writer complex (WTAP METTL13 METTL14) to DRACH sequence motifs, has been demonstrated for several classes of RNA, including long noncoding RNAs (lncRNAs). The structural mechanism that underlies how RBM15 interacts with RNA has yet to be elucidated. In this study, we mined and bioinformatically assessed publicly available genome-wide RNA 2D structural probing and RBP cross-linking and immunoprecipitation data to investigate how RBM15 interacts with RNA, with a focus on lncRNA transcripts. RBM15, which possesses three RNA recognition motifs (RRMs), primarily interacts with stem-loop structured RNA motifs. Structural modeling reveals RRMs 2 and 3 are coaxially stacked in solution; these two RRMs are responsible for driving RBM15s interaction with RNA. We further demonstrate this experimentally with two RNA hairpins, revealing low micromolar binding affinities. Altogether, this work provides insight into the structural mechanism by which RBM15 interacts with RNAs to govern biological function.

biochemistry↗

bioRxiv2019

Genome-wide association analysis of dementia and its clinical endophenotypes reveal novel loci associated with Alzheimer disease and three causality networks of AD: the GR@ACE project.

BackgroundGenetics plays a major role in Alzheimers Disease (AD). To date, 40 genes associated with AD have been identified, although most remain undiscovered. Clinical, neuropathological and genetic variability might impact genetic discoveries and complicate dissection of the biological pathways underlying AD. MethodsGR@ACE is a genome-wide study of dementia and its clinical endophenotypes that encompasses 4,120 cases and 3,289 controls from Spain. GR@ACE phenotypes were defined according to ADs clinical certainty and the presence of vascular co-morbidity. To explore whether clinical endophenotypes reflect variation in underlying biological pathways, we first assessed the impact of known AD loci across endophenotypes to generate three loci categories. Next, we incorporated gene co-expression data and conducted pathway analysis on each category. To assess the impact of heterogeneity in the GWAS findings, the GR@ACE series were meta-analyzed with: 1) genotype-level data from dbGaP (N=21,235); and 2) summary statistics from IGAP Stages I and II (n=61,571 and n=81,455 respectively). FindingsWe classified known AD loci in three categories, which might reflect the disease clinical heterogeneity, from vascular and mixed forms to pure AD pathology. Immune system pathways were detected in all categories. Intriguingly, vascular processes were only detected as a causal mechanism in probable AD. A meta-analysis of GR@ACE with additional GWAS datasets revealed the ANKRD31-rs4704171 signal in the HMGCR genomic region. We confirmed NDUFAF6-rs10098778 and SCIMP-rs7225151, which were previously detected by IGAP, to be suggestive signals. We also confirmed CD33-rs3865444 to be genome-wide significant. InterpretationThe regulation of vasculature is a prominent causal component of probable AD. In that context, cerebral amyloid angiopathy, the unique identified link between the vascular and amyloid hypotheses, deserves further investigation. The GR@ACE meta-analysis revealed novel AD genetic signals. GWAS results are strongly driven by the presence of clinical heterogeneity in the AD series. FundingGrifols SA, Fundacion bancaria "La Caixa", Fundacio ACE and ISCIII (Instituto de Salud Carlos III).

neuroscience↗