Biology subjects

Brant, T. S.

Publications and source records attributed to Brant, T. S..

5 recordsLinked to original sources

bioRxiv2026

Structural basis of caveolin-driven membrane bending

Caveolins are monotopic membrane proteins essential for caveolae formation and have key roles in signaling and lipid regulation. Caveolins assemble into amphipathic discs with a central {beta}-barrel, an architecture distinct from other membrane-remodeling proteins. These discs embed in the membrane inducing membrane curvature. However, the mechanism of disc-driven bending remains unresolved. Using cryo-electron tomography, structure-guided mutagenesis, and mammalian cell studies, we show that evolutionarily distinct caveolins differ dramatically in their ability to curve membranes despite their conserved architecture. Through computational and theoretical analyses, we demonstrate that patterning of hydrophobic residues along the rim of the disc of human Caveolin-1 induces the deformation of the surrounding leaflet, dictating membrane bending. Finally, we determine a 4.1[A] resolution structure of Caveolin-1 within heterologous caveolae in situ, showing the disc adopts a funnel-like conformation, further shaping membrane architecture. Together, these findings reveal fundamental structural principles that empower caveolins to sculpt and remodel cellular membranes.

cell biology↗

bioRxiv2025

Paralogs with distinct phase behaviors broaden the in vivo stress response range of condensates

Paralogs are widespread, but their physiological roles are often masked by redundancy. H-NS, a nucleoid-associated protein in Gram-negative bacteria, typically coexists with paralogs such as StpA, whose functions have remained obscured due to the lack of strong phenotypes. We demonstrate here that the interaction between H-NS and StpA fine-tunes the physico-chemical properties of heterochromatin-forming condensates. H-NS forms dynamic condensates, while StpA assembles into stable insoluble fibrils. Yet together, the two proteins form heterotypic condensates, whose fluidity and stability are tunable by their relative stoichiometry. By increasing the levels of StpA over H-NS, bacteria increase heterochromatin-associated condensate stability, thus preserving gene repression and optimizing bacterial growth under stress conditions. Structural differences at these proteins dimerization sites help explain their distinct phase behaviors. Our findings reveal a novel paradigm in which paralogs that are positioned at the opposite ends of the phase spectrum can fine-tune condensates to promote survival in fluctuating environments.

biochemistry↗

bioRxiv2024

Molecular Visualization of Neuronal TDP43 Pathology In Situ

Nuclear exclusion and cytoplasmic accumulation of the RNA-binding protein TDP43 are characteristic of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). Despite this, the origin and ultrastructure of cytosolic TDP43 deposits remain unknown. Accumulating evidence suggests that abnormal RNA homeostasis can drive pathological TDP43 mislocalization, thereby enhancing RNA misprocessing due to the loss of nuclear TDP43, and engendering a cycle that ultimately leads to cell death. Here, we demonstrate that the addition of small monovalent oligonucleotides successfully recapitulates pathological TDP43 mislocalization and aggregation, aberrant splicing, and degeneration in iPSC-derived neurons (iNeurons). By employing a tailored multimodal in situ cryo-correlative light and electron microscopy pipeline, we examine the localization and aggregation of TDP43 in near-native conditions. We discover that mislocalized TDP43 accumulates and forms ordered fibrils within autophagosomes and lysosomes in iNeurons, as well as in ALS/FTLD patient tissue. We provide the first high-resolution snapshots of TDP43 aggregates in situ, delivering an unprecedented view of the earliest pathogenic events underlying ALS, FTLD, and related TDP43 proteinopathies.

neuroscience↗

bioRxiv2024

Rapid structural analysis of bacterial ribosomes in situ

Rapid structural analysis of purified proteins and their complexes has become increasingly common thanks to key methodological advances in cryo-electron microscopy (cryo-EM) and associated data processing software packages. In contrast, analogous structural analysis in cells via cryo-electron tomography (cryo-ET) remains challenging due to critical technical bottlenecks, including low-throughput sample preparation and imaging, and laborious data processing methods. Here, we describe the development of a rapid in situ cryo-ET sample preparation and data analysis workflow that results in the routine determination of sub-nm resolution ribosomal structures. We apply this workflow to E. coli, producing a 5.8 [A] structure of the 70S ribosome from cells in less than 10 days, and we expect this workflow will be widely applicable to related bacterial samples.

cell biology↗

bioRxiv2021

Optimizing Polymerase Chain Reaction (PCR) using Machine Learning

Despite substantial standardization, polymerase chain reaction (PCR) experiments frequently fail. Troubleshooting failed PCRs can be costly in both time and money. Using a crowdsourced data set spanning 290 real PCRs from six active research laboratories, we investigate the degree to which PCR success rates can be improved by machine learning. While human designed PCRs succeed at a rate of 55-63%, we find that a machine learning model can accurately predict reaction outcome 81% of the time. We validate this level of improvement by then using the model to guide the design and predict the outcome of 39 new PCR experiments. In addition to improving outcomes, the model identifies 15 features of PCRs that researchers did not optimize well compared to the learned model. These results suggest that PCR success rates can easily be improved by 17-26%, potentially saving millions of dollars and thousands of hours of researcher time each year across the scientific community. Other common laboratory methods may benefit from similar data-driven optimization effort.

bioinformatics↗