Biology subjects

Ni, J.

Publications and source records attributed to Ni, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Genome-wide LD scores enable robust heritability and genetic correlation estimation from summary statistics across genetic ancestries

Our knowledge of human complex trait architecture across diverse populations remains limited. Estimating SNP heritability and genetic correlation from GWAS summary statistics - successful in revealing genetic architecture in homogeneous cohorts - is challenging in structured and admixed populations due, in part, to the difficulty of representing long-range LD. We present SUMMIT, a statistical framework that combines genome-wide LD scores, efficiently estimated using random projections, with GWAS summary statistics to estimate genome-wide and annotation-specific heritability and genetic correlation. In simulations that explore diverse aspects of genetic architecture across European (EUR), South Asian (SAS), and admixed African-European cohorts (AFR) in the UK Biobank (UKB), SUMMIT had increased accuracy and reduced bias compared to prior methods, with the largest gains in non-European ancestries reflecting improved modeling of long-range LD. Across 40 UKB traits, SUMMIT produced estimates of genome-wide common-SNP heritability (h_g^2) and heritability enrichments in genomic annotations that were broadly concordant across ancestries with the SUMMIT h_g^2 estimates more closely matching recent whole-genome sequencing based estimates. SUMMIT substantially improved genetic correlation analysis recovering more significant findings across ancestries (23 SAS and 3 AFR at FDR < 0.05 compared with none and two for cov-LDSC) with the non-European discoveries showing concordant effects in Europeans suggesting that, like heritability, global patterns of pleiotropy are largely shared across ancestries. By combining accurate genome-wide LD and efficient moment estimation, SUMMIT enables investigation into how heritability and genetic correlation vary across populations and genomic annotations, including in structured and admixed cohorts, at the genome-wide, annotation-specific, and cross-trait levels.

genomics↗

bioRxiv2026

Cell type-resolved connectomic reconstruction of the spinal dorsal horn reveals sensory neuron synaptic organization and modality-specific inhibition

Touch, temperature, chemical, and noxious stimuli are detected by more than a dozen peripheral sensory neuron subtypes that together mediate somatosensation. Somatosensory neurons form synapses in the spinal cord dorsal horn, the first site of central somatosensory processing, to engage the downstream circuitry that drives both spinal reflexes and ascending pathways for perception. Yet how sensory neuron synapses are organized into the spinal cord circuitry remains poorly understood. Here we present two connectomic tools for studying somatosensory circuits of the spinal cord dorsal horn: dSC1, a large-scale, synapse-resolved electron microscopy (EM) dataset of the mouse dorsal horn, and SPINE (SPinal cord Integrated NEuron classifier), a deep-learning pipeline that identifies major sensory neuron subtypes directly from EM images. Applying SPINE to the dSC1 dataset, we found marked heterogeneity in synaptic architecture across physiologically distinct sensory neuron subtypes: low-threshold mechanoreceptors form substantially more synapses and receive far more GABAergic presynaptic inhibition than high-threshold mechanoreceptors, thermoreceptors and nociceptors. Cell-type-resolved circuit reconstruction further identified five populations of spinal inhibitory neurons (IhNs) that form synapses onto sensory neuron axons, each preferentially driven by and presynaptically inhibiting a single sensory subtype - a homotypic, modality-specific inhibitory motif. Most of these IhNs also feedforwardly inhibit other sensory pathways - a heterotypic, cross modality motif. Together, dSC1 and SPINE enable cell-type-resolved spinal cord circuit reconstruction and reveal a dual-mode logic of sensory-evoked inhibition that shapes modality-specific signaling at the earliest stage of somatosensory processing.

neuroscience↗

bioRxiv2026

A synaptic wiring diagram underlying modality-specific ascending pathways of the superficial spinal dorsal horn

The spinal cord dorsal horn transforms tactile, thermal, pruritic, and nociceptive signals from peripheral somatosensory neurons into outputs to the brain, but how dorsal horn circuits organize diverse inputs into modality-selective ascending pathways is poorly understood. Using dSC1, a large-scale electron microscopy dataset of the mouse dorsal horn, we mapped the circuitry connecting primary sensory afferents to projection neurons of the anterolateral tract (ALT), a principal pathway conveying somatosensory information to the brain. We find that afferents encoding distinct modalities are routed onto connectivity-defined populations of ALT projection neurons. Nociceptors and cold thermoreceptors directly innervate distinct lamina I ALT projection neuron populations specialized for conveying noxious and cooling signals, respectively, whereas tactile and pruritic signals instead pass through a recurrent, multilayered network involving interneurons called vertical cells before reaching a separate ALT projection population. This distinction, direct versus polysynaptic wiring, underlies marked differences in sensory convergence and establishes segregated ascending channels for conveying signals encoding the principal somatosensory modalities. Together, our findings define an architectural logic by which the dorsal horn integrates and routes tactile, thermal, pruritic, and nociceptive information into distinct ALT output pathways to the brain.

neuroscience↗

bioRxiv2026

The p53-p21-Cyclin D2 regulatory axis drives metabolic reprogramming and a distinct senescent macrophage senotype during aging and MASLD.

Aging drives chronic disease in part through senescent cells, including macrophages, which fuel inflammation. Senescent macrophages are functionally heterogeneous: canonical p16-high macrophages promote tumorigenesis or, in other contexts, disease tolerance, whereas we previously identified a distinct p21-high, p16-low senotype that drives metabolic dysfunction-associated steatotic liver disease (MASLD). The molecular basis of this senotype has remained undefined. Using genetic and multi-omic approaches, we show that a p53-p21-dependent program actively represses p16 and is required for senescent macrophage viability. We identify Cyclin D2 as a non-canonical downstream effector that redistributes from the nucleus to mitochondria and lipid droplets, where it partners with MIC60 to drive metabolic reprogramming and modulates AKT1-mTORC1 signaling that sustains the SASP. Cyclin D2-p21 double-positive macrophages accumulate with aging and MASLD in mice and in human liver cirrhosis, and can be selectively depleted by senolytic treatment. Together, these findings define a druggable p53-p21-Cyclin D2 axis that specifies macrophage senotype.

immunology↗

bioRxiv2026

CRISPR mapping unveils global prevalence of viral predators of Myxobacteria

Myxobacteria are social Gram-negative bacteria that perform cooperative predation and form multicellular fruiting bodies, serving as promising biocontrol agents against drug-resistant pathogens. Their associated viruses are therefore important ecological regulators, yet remain largely unexplored. Here, we applied CRISPR spacer-based host-virus linkage analysis to 3,229 myxobacterial genomes and identified 790 nonredundant myxophages spanning diverse global ecosystems. Comparative genomic analyses revealed extensive diversity in the taxonomy, lifestyles, and functional potential of these myxophages. We found that myxophages encode auxiliary metabolic genes involved in carbon, sulfur, iron, and cell-envelope metabolism, which may modulate host physiological processes during infection. Gene-sharing networks, whole-proteome phylogenies, inter-genomic and proteome comparison further identified six previously undescribed myxoviral lineages (MV-1~MV-6), each represented by complete genomes. Detailed analyses revealed the mechanisms by which these viruses hijack host cellular machinery and reprogram host processes. Notably, MV-1 encodes immune modulators, including the anti-CRISPR protein AcrIIA15 and a Cas12m effector located adjacent to CRISPR arrays, empower myxophages with sophisticated immune evasion and host interference strategies. This study substantially expands the myxoviral diversity and provides insights into virus-host interactions and evolutionary adaptation of myxophages.

microbiology↗

bioRxiv2026

Functional profiling of ESKAPE viromes uncovers resistance-limiting phage-host dynamics

ESKAPE pathogens drive clinical antibiotic resistance and intractable infections, severely compromising antimicrobial therapies. Bacteriophages are promising alternatives to antibiotics, yet their diversity, function and ecological impacts in ESKAPE pathogens remain poorly defined, hindering phage therapy translation. Here, we integrated 11,947 high-quality ESKAPE genomes with global metagenomic viral data to construct a comprehensive non-redundant virome of 14,496 ESKAPE-associated viruses, including four unreported viral clades. We found pervasive competition among mobile genetic elements (MGEs) in the ESKAPE mobilome, where nested MGE architectures empower low-mobility antibiotic resistance genes (ARGs) with horizontal transfer ability to fuel resistance dissemination. Unlike ARG-rich MGEs, ESKAPE phages carry minimal ARGs and antagonize plasmids to constrain ARG propagation, confirming their biosafety for therapy. We further revealed distinct phage-host arms races, typically virulent phages enrich anti-defense genes to evade bacterial immunity, and novel viruses hijack host methyltransferases targeted by CRISPR-Cas systems. This study establishes a systematic ESKAPE virome resource, demonstrates phages dual roles in targeting resistant pathogens and curbing resistance spread, and provides mechanistic support for phage therapy clinical application.

microbiology↗

bioRxiv2026

An Optimized Stem Cell Secretome Proteomics Platform: Application to Progranulin-Deficient iPSCs

Stem cells secrete diverse extracellular proteins that regulate pluripotency, differentiation, and cell-cell communication, making them powerful model systems for studying development, disease mechanisms, and regenerative medicine. However, robust stem cell secretome analysis remains technically challenging. Unlike many other cell types, stem cells cannot tolerate serum starvation or growth factor deprivation, while low-abundance secreted proteins are often masked by media-derived proteins and intracellular contamination. Here, we systematically optimized the secretome proteomics workflow in iPSCs, by evaluating culture medium composition, conditioned-media collection time, cell plating density, media harvest and preparation methods, LC-MS acquisition methods, and data analysis strategies. Full-strength Essential 8 medium, 48 h media collection, 80% cell confluency, two-step centrifugation, and data-independent acquisition (DIA)-LC-MS/MS provided the optimal secretome proteomics data quality. We then applied the optimized platform to an isogenic iPSC disease model to investigate how progranulin deficiency reshapes the extracellular and intracellular proteomes. Progranulin-deficient iPSCs showed a coordinated reduction of extracellular lysosomal hydrolases despite relatively modest intracellular proteome changes, suggesting altered lysosome trafficking and possible impairment of lysosomal exocytosis. Together, this work establishes a robust and standardized workflow for stem cell secretome proteomics and demonstrates its utility for investigating extracellular proteome remodeling in human disease models.

cell biology↗

bioRxiv2026

A Variant-Resistant Linear Epitope in the SARS-CoV-2 Nucleocapsid Protein for Antigen Detection

We previously generated a mouse monoclonal antibody, N179, against the SARS-CoV-2 nucleocapsid (N) protein and developed a colloidal gold-based immunochromatographic test strip. This assay achieved a detection limit of 2 ng/mL and displayed 98% concordance with RT-qPCR results. However, the precise epitope recognized by mAb N179 had not been defined. Using a panel of GST-fused N protein truncation fragments, we mapped the linear B-cell epitope recognized by mAb N179 to the flexible C-terminal tail of the N protein by Western blotting and ELISA. The minimal binding motif required for mAb N179 recognition was identified as 390QTVTLL395. Multiple sequence alignment of 11 representative SARS-CoV-2 lineages, including Alpha, Beta, Gamma, Delta, and Omicron subvariants BA.1, BA.2, and BA.3.2, revealed that this epitope was completely conserved across all variants analyzed. Stringent local pairwise alignment analysis using EMBOSS WATER further showed that the 390QTVTLL395 motif achieved a perfect 6/6 match exclusively in SARS-CoV-2; no identical sequence was detected in the seven common human coronaviruses, four influenza viruses, or five bat coronaviruses examined. Structural prediction analyses indicated that this region is surface-exposed and possesses a strong linear B-cell epitope propensity. Together, these findings identify 390QTVTLL395 as a specific molecular signature of SARS-CoV-2 among the viruses analyzed. Our results provide an epitope-level explanation for the sustained diagnostic reliability of the mAb N179-based assay against emerging variants, clarify the molecular basis for its lack of cross-reactivity, and may inform the rational design of SARS-CoV-2 diagnostics targeting conserved, mutation-resistant epitopes. ImportanceWe identified the exact nucleocapsid protein epitope recognized by monoclonal antibody N179, a diagnostic antibody used in a colloidal gold rapid assay. The identified 390QTVTLL395 motif at residues 390 to 395 was conserved among the SARS-CoV-2 variants analyzed and was not present as an identical continuous sequence in the related respiratory viruses examined. This work supports precise epitope mapping as a useful strategy for evaluating and revalidating diagnostic antibodies as respiratory viruses evolve.

microbiology↗

bioRxiv2026

eRNAformer enables genome-wide de novo mapping of enhancer-derived RNA loci

Enhancer-derived RNAs (eRNAs) are critical regulators of gene transcription, yet their genome-wide annotation remains challenging. Here, we present eRNAformer, a multi-modal deep learning framework that integrates convolutional neural networks with transformers, specifically designed to capture long-range genetic features associated with bidirectional transcription. This approach enables de novo mapping of eRNA loci using DNA sequence and aggregated conventional RNA-seq data. When evaluated on ENCODE datasets, eRNAformer demonstrated high sensitivity and specificity in discriminating known eRNA loci from non-eRNA loci. Notably, the newly identified eRNA loci were enriched with evolutionarily constrained variants and genetic risk factors for complex diseases, and exhibit potential relevance for cancer therapy. Applied to GEO datasets, eRNAformer identified a range from 14,219 to 56,451 eRNA loci across multiple hematologic malignancies, facilitating the construction of a comprehensive eRNA database for blood cancers. We further identified and experimentally validated FOXO1e, a cluster of eRNAs located approximately 120 kb upstream of FOXO1, a known oncogene that drives t(8;21) acute myeloid leukemia (AML) preleukemic program. Together, these findings establish eRNAformer as a powerful tool for genome-wide eRNA annotation, provide a valuable resource for eRNA studies in hematologic cancers, and underscore the functional importance of eRNAs in AML pathogenesis.

bioinformatics↗

bioRxiv2026

Vegetation change and functional composition shifts in southwestern China during late MIS 3 to LGM

The climatic transition from Marine Isotope Stage 3 (MIS3) to the Last Glacial Maximum (LGM) had caused widespread vegetation change. Despite the dynamic equilibrium between vegetation and climate, the specific role of functional composition in vegetations response to climate change was inadequately understood. Here, we analyzed the long-term trajectories of palynological diversity, vegetation coverage and community-weighted-mean (CWM) functional traits based on EH22 pollen record (35-18 cal ka BP) from Erhai Lake, southwestern China. The results disclosed a vegetation transition from temperate deciduous broadleaf forest dominance in late MIS3 to cold coniferous and mixed broadleaved/coniferous forests in LGM. This vegetation dynamic involved functional composition shifts from competitive-driven functional convergence to partial recovery via niche differentiation during the late MIS3, and finally to a low-diversity but functional differentiation state through trait complementarity and diversification strategies during the cold LGM. Our results likely support a function-mediated climate filtering process whereby climate change regulated long-term vegetation dynamics during the MIS3-LGM transition primarily through shifts in CWM functional composition. These findings underscore the potential of pollen-based trait approaches to reconstruct ecosystem properties and advance our understanding of ecosystem change over decadal to millennial time-scales.

ecology↗

bioRxiv2026

Rapid vegetation reorganization in Hengduan Mountains driven by high climatic oscillations

The accelerating global climate change has been triggering large-scale vegetation reorganizations, yet our understanding of how mountain ecosystems respond to rapid climatic oscillations is critically constrained. Here, we present a high-resolution palynological record from Erhai Lake, southwestern China, revealing eight episodes of rapid vegetation reorganizations in the Hengduan Mountains (HMs) over the past 35,200 years. These reorganizations closely tracked the rhythms of rapid climate oscillations, particularly during the Last Glacial Maximum and the Last Deglacial Period. We find that while the timing of rapid vegetation reorganizations were synchronous with Atlantic Meridional Overturning Circulation (AMOC) anomalies that modulated global climate variability, the magnitude of these reorganizations did not exhibit a linear correlation with AMOC strength; instead, they were governed by local heat and moisture availability mediated through teleconnections. This demonstrates a strong natural regulatory capacity of mountain vegetation in HMs, enabling resilience to intense climatic fluctuations. However, when using the Erhai record as a benchmark, we project that rapid reorganizations under the high-emission pathway (SSP585) will likely surpass the intensities observed during historical events. These findings reveal the high climatic sensitivity and strong natural regulatory capacity of mountain ecosystems, highlighting the critical necessity of climate mitigation actions and nature-based solutions to safeguard subalpine and alpine biodiversity against unprecedented future climate change.

ecology↗

bioRxiv2026

Evolutionary Dynamics of Paramecium Mitochondrial Genomes

Ciliates are a diverse group of single-celled eukaryotes that can exhibit a wide range of genetic diversity within morphologically indistinguishable species. However, they are still not well studied as their mechanisms of speciation and the extent of diversification remain unknown. Mitochondrial genomes offer an effective framework for resolving species relationships and evolutionary changes. Here, we analyzed a globally sampled dataset of Paramecium to understand the evolution of mitochondrial genomes in ciliates. Phylogenetic analysis of linear mitochondrial genomes shows the presence of cryptic diversity beyond the P. aurelia complex, with P. bursaria lineage appearing as a deeply diverging out-group. Protein-coding genes are largely conserved, with limited rearrangements, and some ciliate-specific genes appear to be missing in P. bursaria. Population genetic analysis show little to no evidence of recombination along with substantial differences in effective population size across species. Patterns of molecular evolution also indicate purifying selection as the predominant force, the strength of which is at least as strong as in the nucleus and consistent with mitochondrial effective population sizes that are similar or larger than those of the nucleus. Across the functional groups, the electron transport chain and ribosomal genes are highly constrained, while ciliate-specific ymf genes show reduced efficacy of selection compared to the others. These findings offer a basis for connecting mitochondrial variation to evolutionary divergence, functional constraint, and speciation in microbial eukaryotes.

genomics↗

bioRxiv2026

Shifts in the population-genetic landscape of the ciliate genus Paramecium

Ciliates are one of the most ecologically diverse and morphologically intricate unicellular organisms. Despite their evolutionary significance and their prominence in cell-biological research, the population-genetic processes governing their diversification have received remarkably little attention. A fundamental unresolved problem is the existence of geographic isolation among free-living protists and its consequences for species richness. We addressed this issue in the model ciliate Paramecium by sequencing genomes of hundreds of isolates collected worldwide, capturing multiple morphological and cryptic species, with multiple populations each. Contrary to previous reports, we found evidence of geographic differentiation in the majority of species. In a few cases, geographic structure became evident when deeply diverging clades in a species were treated separately. This suggests that the biogeographical patterns of Paramecium have been shaped by periods of genetic isolation leading to speciation, with rare events of global dispersal realized over its long evolutionary history. Despite being largely isolated, populations were remarkably similar in their effective population size, recombination rate, and efficacy of natural selection. Across species, selection appears to be least effective in Paramecium aurelia lineages, and most effective in P. bursaria, presumably due to differences in their breeding characteristics. Despite differences among species in the population-genetic environment, patterns of variation across the genome remained consistent. Selective constraints on a core set of genes seemed to have gradually diverged across the species phylogeny. Genes with multiple copies retained from whole-genome duplication events in P. aurelia were found to be under relatively relaxed purifying selection. Moving forward, this dataset will serve to test hypotheses on the ecological and cellular complexity of Paramecium and beyond.

evolutionary biology↗

bioRxiv2026

The origin and evolution of archaeal Borg extrachromosomal elements

Borgs are giant linear extrachromosomal elements (ECEs) of methane-oxidizing Methanoperedens archaea whose evolutionary origin and ecosystem distribution remain unknown. Here we detected 240 Borgs in diverse saline, soil, and freshwater ecosystems. 27 encode methyl-coenzyme M reductases central to methane metabolism, eight have full rRNA operons related to those of Methanoperedens, and some contain up to four ribosomal proteins. We also identified 323 mini-Borgs whose proteome content and gene phylogenies classify as a distinct ECE type. Based on 105 complete and near-complete genomes, Borgs and mini-Borgs share core genes in conserved order, indicating common ancestry. Phylogenetic and diversity analyses suggest that Borgs evolved via gene acquisition into a backbone inherited from mini-Borgs. This evolutionary trajectory mirrors those proposed for giant viruses of both eukaryotes and bacteria.

microbiology↗

bioRxiv2026

A graph-based pangenome reveals the genetic basis of climate-resilient and horticultural traits in pear

Climate change poses an increasing threat to the cultivation of deciduous fruit trees, placing greater demands on modern pear breeding. Using pear germplasm adapted to diverse environments, we assembled 11 chromosome-level genomes. In combination with 13 publicly accessible pear genomes, we analyzed presence-absence variations (PAVs) and constructed a graph-based pangenome for pear. By performing a PAV-eQTL analysis of the fruit of 123 pear accessions, we identified PAVs significantly associated with expression levels of genes that may be involved in regulating agronomic traits. Population analysis of 268 pear accessions revealed two stop-gained variants in DAM1 of independent origin, which may function in advancing the blooming date and reducing the chilling requirement. We detected complex PAVs at the NOR1 locus, including two copy-number variations and one deletion. These PAVs contributed to the rapid diversification of the NOR1 locus and the fruit development period through regulating ARF5 and other ripening-related genes. We revealed the selection history of the NOR1 locus and developed novel pear individuals that accumulated alleles for low chilling requirement, early blooming date, and short fruit development period. The results provide valuable resources for pear genomics research and offer a guideline for breeding modern pears with climate resilience.

plant biology↗

bioRxiv2026

ProteinSage: From implicit learning to explicit structural constraints for efficient protein language modeling

While protein language models typically rely on sequence-only pretraining objectives, this approach often fails to capture structural regularities and demands large datasets. To address this, we introduce ProteinSage, a pretraining framework that learns protein representations under explicit structural constraints. ProteinSage incorporates structural signals via structure-guided masking and a causal objective designed to model longrange dependencies. This structure-constrained pretraining equips ProteinSage with transferable representations using less data and computation, yet achieves competitive or superior performance across diverse structure-aware and general protein modeling benchmarks. To determine whether these gains stem from genuine structural generalization rather than task-specific fitting, we applied ProteinSage to a structure-driven protein discovery task, focusing on proteins with multi-pass transmembrane helical architectures such as distantly related microbial rhodopsins. The model successfully identified six previously unannotated microbial rhodopsin homologs. Together, our work establishes structure-constrained pretraining as an effective pathway toward data-efficient and structurally faithful protein representation learning.

bioinformatics↗

bioRxiv2026

A Deep Quantitative Proteome Turnover Platform for Human iPSC-derived Neurons

Quantitative evaluation of protein turnover in human neurons is crucial for understanding neuron homeostasis and guiding drug development for neurological diseases. However, measuring protein turnover in postmitotic neurons remains challenging due to the high dynamic range of protein half-lives and limited proteome coverage in SILAC (Stable Isotope Labeling by Amino acids in Cell culture) experiments. Despite broad applications of dynamic SILAC proteomics to measure protein turnover in rodent tissues and primary neurons, few studies have measured protein half-lives in human neurons with limited proteome coverage. Here, we established a comprehensive platform to quantify protein half-lives in human induced pluripotent stem cell (iPSC)-derived neurons. By integrating optimized dynamic SILAC labeling in human neuron cultures, extensive peptide fractionation, optimized data-dependent and data-independent LC-MS/MS acquisition methods, and a streamlined computational pipeline, we achieved deep and accurate measurement of 10,792 protein half-lives from 162,854 unique peptides. We then compared the protein turnover and abundances in iPSC-derived glutamatergic cortical neurons and spinal motor neurons, revealing globally conserved proteome dynamics alongside subtype-specific differences consistent with specialized neuronal functions. To enable broad community access, we created NeuronProfile (www.neuronprofile.com), an interactive web platform for exploring protein turnover, abundance, and subcellular location in human neurons. Together, this work provides a comprehensive analytical platform to assess human neuronal proteostasis and a foundational resource for neurological disease research and therapeutic development.

neuroscience↗

bioRxiv2026

Enteric sensory neurons for nutrient detection and gut motility

The enteric nervous system (ENS) orchestrates gastrointestinal reflexes and brain-gut communication via molecularly diverse neurons. Among these, intrinsic primary afferent neurons (IPANs) are essential for detecting luminal nutrients and irritants, yet their molecular identities, sensory properties, and functions remain poorly resolved. Here, we establish a segment-resolved single-cell atlas of the murine ENS, including a comprehensive characterization of the gastric ENS. This resource defines a refined taxonomy of enteric neurons and glia and enabled the development of a genetic toolkit for molecularly defined IPANs. Using chemogenetics and calcium imaging, we discovered that myenteric neurons detect a wide range of nutrients, irritants, and cytokines. Nutrient detection depends on a functional connection between chemosensory epithelial cells and enteric neurons mediated by 5-HT--HTR3 axis. Through optogenetic analysis, we demonstrated segment-specific regulation of gut motility by different IPANs. Our work establishes a genetic and physiological framework for enteric-specific sensory mechanisms.

neuroscience↗