Biology subjects

Rodriguez, B. G.

Publications and source records attributed to Rodriguez, B. G..

3 recordsLinked to original sources

bioRxiv2026

Single-particle light scattering reveals the dynamic heterogeneity of biomolecular condensates

Biomolecular condensates can be heterogeneous in composition, morphology, and material properties, but resolving this heterogeneity at the level of individual submicrometer condensates remains challenging. Here, we combine off-axis holographic imaging with quantitative light-scattering analysis and particle tracking to simultaneously measure the size, optical properties, interfacial structure, and hydrodynamic mobility of hundreds of individual condensates per minute. Applied to condensates formed by the N-terminal domain of Ddx4 (Ddx4N1), the method reveals two populations with distinct scattering signatures: compact particles with well-defined interfaces and structurally heterogeneous, non-compact assemblies. Their relative abundance varies systematically with ionic strength. Synthetic polymer controls show that pronounced structural heterogeneity is not a generic consequence of phase separation and suggest a role for interaction heterogeneity in promoting competing mesoscale structures. Mass-size scaling and Brownian aggregation simulations further show that aggregation with incomplete fusion of smaller protein-rich units provides a physical model for the non-compact population. Simultaneous optical and diffusion measurements further show that the two populations have distinct hydrodynamic properties. These results demonstrate that chemically homogeneous condensate-forming systems can populate distinct mesoscale structures that are obscured by ensemble-averaged measurements.

biophysics↗

bioRxiv2024

Lung Microbiome Intervention Attenuates Herpesvirus-Induced Post-HCT Pulmonary Fibrosis Through PD-L1 Upregulation on Dendritic Cells

Alterations in the lung microbiome frequently accompany adverse pulmonary outcomes. Hematopoietic cell transplantation (HCT) markedly affects the lung microbiome corresponding with a high incidence of post-HCT pulmonary complications. In a preclinical mouse model of HCT, we observed a reduction in Lactobacillus johnsonii within the lung microbiome following transplantation. Intranasal administration of live or heat-killed (HK) L. johnsonii at low doses reduced gammaherpesvirus-induced pulmonary fibrosis in HCT mice, in which IL-17A plays an essential role. HK L. johnsonii treatment of HCT mice suppressed inflammatory cytokine production by lung macrophages and decreased Il17a expression in T helper 17 (Th17) cells. HK L. johnsonii increased PD-L1 expression on the surface of type II conventional dendritic cells (cDC2) in HCT mice and in vitro in bone marrow-derived dendritic cells (BMDCs). HK L. johnsonii-exposed BMDCs also inhibited IL-17A secretion from co-cultured Th17 cells in a PD-1-dependent manner. Notably, when HK L. johnsonii was administered to HCT mice reconstituted with bone marrow cells from PD-1 knockout (KO) mice, which lack a PD-L1 mediated response, HK L. johnsonii-mediated reduction of pulmonary fibrosis was negated. Collectively, our findings demonstrate that HK L. johnsonii mitigates herpesvirus-induced pulmonary fibrosis in HCT mice by modulating cDC2 surface expression of PD-L1, which subsequently suppresses Il17a expression in Th17 cells, pointing towards a potential postbiotic-based strategy for immunomodulation to address pulmonary complications of HCT.

immunology↗

bioRxiv2022

Assessing Comparative Microbiome Performance in Plant Cell Wall Deconstruction Using Multi-omics-Informed Network Analysis

Plant cell walls are interwoven structures recalcitrant to degradation. Both native and adapted microbiomes are particularly effective at plant cell wall deconstruction. Studying these deconstructive microbiomes provides an opportunity to assess microbiome performance and relate it to specific microbial populations and enzymes. To establish a system assessing comparative microbiome performance, parallel microbiomes were cultivated on sorghum (Sorghum bicolor L. Moench) from compost inocula. Biomass loss and biochemical assays indicated that these microbiomes diverged in their ability to deconstruct biomass. Network reconstructions from time-dependent gene expression identified key deconstructive groups within the adapted sorghum-degrading communities, including Actinotalea, Filomicrobium, and Gemmanimonadetes populations. Functional analysis of gene expression demonstrated that the microbiomes proceeded through successional stages that are linked to enzymes that deconstruct plant cell wall polymers. This combination of network and functional analysis highlighted the importance of celluloseactive Actinobacteria in differentiating the performance of these microbiomes.

microbiology↗