Biology subjects

Bate, T.

Publications and source records attributed to Bate, T..

3 recordsLinked to original sources

bioRxiv2026

PanKbase Integrated Single-Cell Map: A Comprehensive Atlas of Human Pancreatic Islets

Single-cell RNA sequencing (scRNA-seq) of human pancreatic islet tissue is a powerful tool for investigating type 1 diabetes (T1D). However, individual datasets are limited in size and fragmented across donors, laboratories, and experimental conditions. To address this, we constructed a comprehensive, integrated scRNA-seq atlas of isolated human pancreatic islets by collating publicly available data generated from tissue provided by resources including the Human Pancreas Analysis Program, the Integrated Islet Distribution Program, and Prodo Labs. Systematic quality controls were implemented to select high-quality samples, reads, and cells. During integration, we accounted for important variables such as age, sex, body mass index, origin study, treatments, islet distribution resources, and sequencing chemistry. Our single-cell atlas comprises 191 high-quality samples from 140 donors (59 female, 81 male) across five phenotypic groups: no diabetes (controls, n=69), autoantibody positivity without diabetes (n=12), pre-diabetes (n=11), T1D (n=12), and type 2 diabetes (T2D) (n=36). In total, the atlas contains 448,935 cells, capturing 13 distinct populations, including alpha cells (43.3%) and beta cells (26.8%), as well as groups such as immune cells (0.6%). Publicly available at www.pankbase.org, this atlas provides a platform for hypothesis-driven investigation of diabetes pathophysiology and, given rigorous quality control, is well-suited for downstream machine-learning applications. Article HighlightsO_LICurrent scRNA-seq datasets of pancreatic islet tissue are limited in size and scattered across donors, laboratories, and experimental conditions, underscoring the need for a consolidated resource. C_LIO_LIWe harmonized datasets from multiple sources to build a comprehensive single-cell map of isolated human pancreatic islets. C_LIO_LIOur atlas captures 448,935 cells from 191 high-quality samples across 140 donors and multiple phenotypic groups, identifying 13 distinct cell populations. C_LIO_LIAvailable at www.pankbase.org, the atlas provides a scalable, rigorously curated platform to support hypothesis-driven diabetes research and can enable a broad range of downstream computational applications. C_LI

genomics↗

bioRxiv2026

Partition Coefficients Reveal Changes in Properties of Low-Contrast Biomolecular Condensates

Biomolecular condensates are domains within cells with distinct compositions, held together by intermolecular cohesion. They are implicated in a variety of cellular processes, and in vitro studies have revealed the molecular driving forces that underly their condensation. However, in vitro condensates do not capture essential features of cellular condensates. In particular, enrichment of proteins, quantified by partition coefficients, is often exaggerated in these simplified systems. We show that the addition of free amino acids and other small molecules to model condensates can bring their partition coefficients within physiological range. In this limit, where there is low biochemical contrast between condensates and their surroundings, we observe striking changes to condensate behavior. Such low-contrast condensates exhibit large fluctuations in shape and composition and show enhanced sensitivity to changes in their environment. These behaviors reflect dramatic shifts to their material properties, including interfacial tension, rheology, and chemical susceptibilities. We note remarkable similarities in these effects across seemingly unrelated two-phase fluid systems. To explain these trends, we reformulate classic models of critical phenomena in terms of partition coefficients. This framework simplifies application of theory to experiments with near-critical fluids and suggests new experimental approaches for assessing condensate physiology in live cells.

biophysics↗

bioRxiv2026

Metabolites Shift Equilibria of Biomolecular Condensates

Biomolecular condensates compartmentalize biochemistry in living cells. While in vitro models of condensates involve only a few components, the cytoplasm is a complex mixture with thousands of components, including many small molecules. While many macromolecular drivers of phase separation have been revealed, the contributions from small molecules have received little attention. To quantify the impact of solutes on biomolecular condensates, we introduce susceptibility, a dimensionless descriptor of condensate response to solute perturbations. We measured how three model condensates, assembled by distinct cohesive mechanisms, respond to diverse solutes including amino acids and nucleotides. Generically, solutes shift condensate phase equilibria, with susceptibilities spanning over four orders of magnitude. These values reflect underlying molecular interactions, consistent with theoretical descriptions including Flory-Huggins and polyphasic linkages. As one example of the predictive power of susceptibility, we exploit enzymatic activity to induce condensation and modulate material properties. Our work establishes susceptibility as an indicator of the sensitivity of biomolecular condensates to solutes, with implications for cell physiology and therapeutic design. SIGNIFICANCE STATEMENTCells compartmentalize biochemistry using biomolecular condensates formed through phase separation. Although cells contain thousands of small molecules, little is known about their influence on condensation. In such complex mixtures, mapping full phase diagrams is infeasible. Alternatively, we introduce susceptibility to characterize system response around a working composition. Using three distinct model condensates and over a dozen solutes, we observe susceptibilities varying over four orders of magnitude. We provide a general thermodynamic framework that clarifies the driving forces behind these responses, rationalizing their magnitude and their dependence on location in the phase diagram. Our work provides a framework for understanding and harnessing solutes to regulate biomolecular condensation, with implications for cell physiology and therapeutic design.

biophysics↗