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Biology subjects

Reynolds, S. J.

Publications and source records attributed to Reynolds, S. J..

2 recordsLinked to original sources

Development and validation of HIV SMRTcap for the characterization of HIV-1 reservoirs across tissues and subtypes

Human Immunodeficiency Virus type 1 (HIV-1) is responsible for the global HIV/AIDS epidemic and the establishment of an integrated HIV-1 reservoir remains the primary obstacle to cure. Upon therapy interruption, reactivation of the persistent HIV-1 reservoir propagates viral rebound and mediates continued immunological decline. While furthering understanding of the HIV-1 reservoir is essential for HIV-1 cure, commonly used sequencing strategies are often limited by the reliance on short-read sequencing across separate assays to determine integration sites and proviral integrity - something that does not always adequately resolve complex human genomic repeats or low complexity regions. Simultaneous identification of proviral integration sites and proviral integrity at the single molecule level would enable HIV-1 reservoir characterization with minimal imputation or bioinformatic reconstruction. Here we present HIV Single Molecule Real Time Capture (HIV SMRTcap), a novel molecular and computational pipeline that directly and simultaneously identifies HIV-1 integration sites, defines proviral integrity, and characterizes clonal expansion of HIV-1 provirus-containing cells with single molecule resolution. In combination with long-read, single-molecule, real-time (SMRT) sequencing and custom analytic pipelines, HIV SMRTcap enables a highly comprehensive characterization of HIV-1 reservoirs. Moreover, we demonstrate here that HIV SMRTcap performs robustly across the major global subtypes (HIV-1 subtype A, B, C, D and A/D recombinant viruses), and can use both cell- and tissue-derived inputs, including samples from antiretroviral therapy (ART) treated individuals with undetectable viral loads. Our results demonstrate that HIV SMRTcap serves as a comprehensive, robust method for unbiased HIV-1 reservoir characterization. Used alone, or in combination with single-cell based methods, HIV SMRTcap will enable novel exploration of viral reservoirs across subtypes and in tissue-specific compartments, providing critical information needed to inform HIV-1 cure.

genomics↗

BromoCatch: a self-labelling tag platform for protein analysis and live cell imaging

Visualizing and manipulating proteins in live cells is crucial for studying complex biological processes. Self-labelling protein (SLP) tags such as HaloTag and SNAP-tag can be fused to genes of interest to allow protein labelling in cells. Limitations including size of the tag and suboptimal fitness of reactivity motivate development of improved tools to enable rapid, specific and stable protein labelling. We present BromoCatch, a novel SLP platform based on a small [~]13 kDa bromodomain (BD) engineered with a nucleophilic cysteine for covalent ligand engagement. A structure-based designed library of 16 "bumped" binders bearing diverse electrophilic warheads was screened against two different cysteine mutants using differential scanning fluorimetry and intact protein mass spectrometry to monitor covalent complex formation. The para-acrylamide bumped derivative MR116 and the Brd4-BD2 double mutant L387A,E438C formed the most potent and stable adduct, and its binding mode through covalent modification was confirmed by an X-ray cocrystal structure solved to 1.3 [A] of resolution. BromoCatch exhibited potent and irreversible target engagement in cells through nanoBRET and residence time assays. Practicality and scope are further demonstrated through the design and proof-of-concept application of a biotinylated conjugate, PROTAC tag degraders, and fluorescent probes of both full-on and switch-on types for ex-cellulo and live-cell imaging. Together, we qualify BromoCatch as a novel, versatile and efficient protein labelling tool and technology platform. Its advantageous design features and kinetic fitness, and its modular design enabling diverse functionalities, are anticipated to usher a range of future applications and witness broad utility.

biochemistry↗