Biology subjects

Rice, K.

Publications and source records attributed to Rice, K..

5 recordsLinked to original sources

bioRxiv2026

Ancient Somatosensory Circuit Architectures Employ Flexible Molecular Strategies

The extent to which conserved neural circuit architectures depend on shared molecular specification programs remains unclear. Here, we address this question by examining the somatosensory system of the little skate, Leucoraja erinacea, an early-diverging vertebrate that retains ancestral features of both finned and limb-based body plans. We show that core features of somatosensory circuit organization, including laminar organization of the spinal cord and dorsally restricted targeting of sensory afferents, are deeply conserved. Unexpectedly, the molecular programs specifying dorsal root ganglion (DRG) sensory subtypes diverge extensively from those of mammals. Although DRG neuron subtype specification and spinal connectivity rely on target-derived cues, skates employ distinct neurotrophin receptor and transcription factor identity codes. These findings support a model in which conserved spinal circuit architectures provide a stable scaffold that leverages flexible sensory neuron specification programs, enabling the evolutionary diversification of vertebrate somatosensory systems.

neuroscience↗

bioRxiv2025

Clonal Heterogeneity in Human Pancreatic Ductal Adenocarcinoma and Its Impact on Tumor Progression

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer characterized by profound desmoplasia and cellular heterogeneity, which cannot be fully resolved using traditional bulk sequencing approaches. To understand the contribution of this heterogeneity to PDAC biology, we analyzed a large cohort of primary human PDAC samples (n = 62), profiling 443,451 single cells and 53,236 spatial transcriptomic spots using a combined single-cell RNA sequencing and spatial transcriptomics approach. Our analysis revealed significant intratumoral heterogeneity, with multiple genetically distinct neoplastic clones co-existing within individual tumors. These clones exhibited diverse transcriptional states and subtype profiles, challenging the traditional binary classification of PDAC into basal and classical subtypes; instead, our findings support a transcriptional continuum influenced by clonal evolution and spatial organization. Additionally, these clones each interacted uniquely with surrounding cell types in the tumor microenvironment. Phylogenetic analysis uncovered a rare but consistent classical-to-basal clonal transition associated with MYC amplification and immune response depletion, which were validated experimentally, suggesting a mechanism driving the emergence of a more aggressive basal clonal phenotype. Spatial analyses further revealed dispersed clones enriched for epithelial-to-mesenchymal transition (EMT) activity and immune suppression, correlating with metastatic potential and colonization of lymph node niches. These dispersed clones tended to transition toward a basal phenotype, contributing to disease progression. Our findings highlight the critical role of clonal diversity, transcriptional plasticity, and TME interactions in shaping human PDAC biology. This work provides new insights into the molecular and spatial heterogeneity of PDAC and offers potential avenues for therapeutic intervention targeting clonal evolution and the mechanisms driving metastasis.

cancer biology↗

bioRxiv2024

Survivin modulates stiffness-induced vascular smooth muscle cell motility

Arterial stiffness is a key contributor to cardiovascular diseases, including atherosclerosis, restenosis, and coronary artery disease, it has been characterized to be associated with the aberrant migration of vascular smooth muscle cells (VSMCs). However, the underlying molecular mechanisms driving VSMC migration in stiff environments remain incompletely understood. We recently demonstrated that survivin, a member of the inhibitor of apoptosis protein family, is highly expressed in both mouse and human VSMCs cultured on stiff polyacrylamide hydrogels, where it modulates stiffness-mediated cell cycle progression and proliferation. However, its role in stiffness-dependent VSMC migration remains unknown. To assess its impact on migration, we performed time-lapse video microscopy on VSMCs seeded on fibronectin-coated soft and stiff polyacrylamide hydrogels, mimicking the physiological stiffness of normal and diseased arteries, with either survivin inhibition or overexpression. We observed that VSMC motility increased under stiff conditions, while pharmacologic or siRNA-mediated inhibition of survivin reduced stiffness-stimulated migration to rates similar to those observed under soft conditions. Further investigation revealed that cells on stiff hydrogels exhibited greater directional movement and robust lamellipodial protrusion compared to those on soft hydrogels. Interestingly, survivin-inhibited cells on stiff hydrogels showed reduced directional persistence and lamellipodial protrusion compared to control cells. We also examined whether survivin overexpression alone is sufficient to induce cell migration on soft hydrogels, and found that survivin overexpression modestly increased cell motility and partially rescued the lack of directional persistence compared to GFP-expressing control VSMCs on soft hydrogels. In conclusion, our findings demonstrate that survivin plays a key role in regulating stiffness-induced VSMC migration, suggesting that targeting survivin and its signaling pathways could offer therapeutic strategies for addressing arterial stiffness in cardiovascular diseases.

cell biology↗

bioRxiv2023

Dysregulated expression of Hoxa1 isoforms in hematopoietic stem and progenitor cells causes myelodysplastic syndromes.

The homeobox gene, Hoxa1, has two different isoforms generated by alternative splicing: a full-length homeodomain-containing Hoxa1 (Hoxa1-FL), and a truncated Hoxa1 (Hoxa1-T), that lacks the homeodomain. The effects of the distinct Hoxa1 isoforms in hematopoiesis have not been investigated. Oncoretroviral studies revealed that Hoxa1-T acts in a dominant negative manner, regulating transcriptionally active Hoxa1. Oncoretroviral overexpression of wildtype Hoxa1 (WT-Hoxa1), which generates both Hoxa1 isoforms, in murine hematopoietic stem and progenitor cells (HSPCs) perturbed hematopoiesis, resulting in transplantable myelodysplastic syndromes (MDS) in mice. Overexpression of a mutated Hoxa1 cDNA (MUT-Hoxa1) that generates Hoxa1-FL, but not Hoxa1-T, led to a more severe MDS that transformed to secondary acute myeloid leukemia (sAML). DNA damage repair pathways were downregulated in Hoxa1-overexpressing hematopoietic progenitor cells, accompanied by increased {gamma}H2AX foci. In silico analyses revealed that CD34+ cells from approximately 50% of patients with MDS had elevated HOXA1-FL expression. Conditional knock-in WT-Hoxa1 and MUT-Hoxa1 mice were generated and had features of pre-MDS, developing altered hematopoiesis within 4 months of Hoxa1 isoform overexpression in HSPCs. HSPCs were significantly reduced in all knock-in mice, accompanied by significantly increased apoptosis in WT-Hoxa1 HSPCs. Healthy wildtype recipients transplanted with bone marrow cells from Hoxa1 knock-in mice developed trilineage MDS, with Hoxa1 isoform and gene dosage dependent phenotypes. Collectively our data identify a role for HOXA1 in the pathogenesis of MDS. Our Hoxa1 mouse models capture different stages of progression of disease from pre-MDS to MDS to sAML and provide novel, clinically relevant tools to study MDS. Key pointsHOXA1 is upregulated in approximately 50% of MDS patient CD34+ BM cells, highlighting a potential role for HOXA1 in the pathogenesis of MDS. Dysregulated expression of Hoxa1 isoforms in murine hematopoietic stem and progenitor cells predisposes mice to pre-MDS and MDS.

cancer biology↗

bioRxiv2016

Sequence kernel association tests for large sets of markers: tail probabilities for large quadratic forms

The Sequence Kernel Association Test (SKAT) is widely used to test for associations between a phenotype and a set of genetic variants, that are usually rare. Evaluating tail probabilities or quantiles of the null distribution for SKAT requires computing the eigenvalues of a matrix related to the genotype covariance between markers. Extracting the full set of eigenvalues of this matrix (an n x n matrix, for n subjects) has computational complexity proportional to n3. As SKAT is often used when n > 104, this step becomes a major bottleneck in its use in practice. We therefore propose fastSKAT, a new computationally-inexpensive but accurate approximations to the tail probabilities, in which the k largest eigenvalues of a weighted genotype covariance matrix or the largest singular values of a weighted genotype matrix are extracted, and a single term based on the Satterthwaite approximation is used for the remaining eigenval-ues. While the method is not particularly sensitive to the choice of k, we also describe how to choose its value, and show how fastSKAT can automatically alert users to the rare cases where the choice may affect results. As well as providing faster implementation of SKAT, the new method also enables entirely new applications of SKAT, that were not possible before; we give examples grouping variants by topologically assisted domains, and comparing chromosome-wide association by class of histone marker.

bioinformatics↗