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Biology subjects

Sankar, K.

Publications and source records attributed to Sankar, K..

4 recordsLinked to original sources

Bovine AAV - a promising vector for pulmonary gene therapy

Efficient systemic delivery to the lung remains a major barrier for adeno-associated virus (AAV)-mediated pulmonary gene therapy, particularly when pre-existing immunity limits the use of conventional capsids. Here, we evaluated Bovine AAV, a phylogenetically divergent capsid, as candidate vector for lung-directed gene transfer. In adult C57BL/6J mice, intravenous delivery of Bovine AAV resulted in robust and preferential lung transduction comparable to AAV4, with predominant targeting of alveolar type I pneumocytes and pulmonary endothelial cells. In primary human lung-resident cells, Bovine AAV was particularly effective in microvascular endothelial cells, a target poorly transduced by AAV4 in vitro. Bovine AAV demonstrated scalable production with yield, purification performance, capsid quality, and genome integrity comparable to AAV9. In sera from healthy adults from the United States and Switzerland, Bovine AAV showed intermediate neutralization frequencies, lower than AAV2 and AAV4 but higher than AAV5 and AAV9. Of relevance, Bovine AAV maintained in vivo transduction efficiency in mice previously immunized with a pool of human and non-human primate-derived AAV capsids, including AAV4. Together, these results position Bovine AAV as a promising lung-tropic and immune-distinct vector for pulmonary gene therapy, with particular relevance for applications requiring systemic delivery in the presence of pre-existing immunity to conventional serotypes.

molecular biology↗

A nicotine biosensor derived from microbial screening

Physiologically relevant biosensors are in increasingly high demand, yet existing ones are severely limited in the number and type of biomarkers that are detected. The lack of biorecognition elements for most medically relevant biomarkers restricts the development of next generation single and continuous use monitors. Over billions of years, microbes have evolved a vast array of proteins to sense and metabolize small molecules, including those pertinent to human health. Of particular interest to us is the identification and subsequent integration of new microbial redox enzymes into electronic biosensors building off the established electrochemical technology of the continuous glucose monitor. Here we deploy genomic screening to identify analyte specific redox enzymes for biosensor development. As a proof of concept, we report the first electrochemical enzyme-based nicotine biosensor from a novel microbial enzyme, and use a variant with improved catalytic performance to enhance sensor performance. The biosensor detects nicotine over 0.4-100 M, a range relevant to nicotine concentrations present in active smoker sweat, saliva, gastric juice, and urine. This microbial mining approach for discovering redox enzymes expands the sensing parts toolbox available over conventional antibodies and aptamers.

bioengineering↗

Novel Antibody Interfaces Revealed Through Structural Mining

Antibodies are fundamental effectors of humoral immunity, and have become a highly successful class of therapeutics. There is increasing evidence that antibodies utilize transient homotypic interactions to enhance function, and elucidation of such interactions can provide insights into their biology and new opportunities for their optimization as drugs. Yet the transitory nature of weak interactions makes them difficult to investigate. Capitalizing on their rich structural data and high conservation, we have characterized all the ways that antibody Fab regions interact crystallographically. This approach led to the discovery of previously unrealized interfaces between antibodies. While diverse interactions exist, {beta}-sheet dimers and variable-constant elbow dimers are recurrent motifs. Disulfide engineering enabled interactions to be trapped and investigated structurally and functionally, providing experimental validation of the interfaces and illustrating their potential for optimization. This work provides first insight into previously undiscovered oligomeric interactions between antibodies, and enables new opportunities for their biotherapeutic optimization.

biochemistry↗

Heavy Chain CDR 3 and Junctional Length Biases in Human Antibody Repertoires Associated with Heavy and Light Chain Germline Utilization

Antibody variable domain sequence diversity is generated by recombination of germline segments. The third complementarity-determining region of the heavy chain (CDR H3) is the region of highest sequence diversity and is formed by the joining of heavy chain VH, DH and JH germline segments combined with random nucleotide trimming and additions between these segments. We show that CDR H3 length distribution is biased in human antibody repertoires as a function of VH, VL and JH germline segment utilization. Most length biases are apparent in the naive B cell compartment, with a significant bias towards shorter CDR H3 sequences observed in association with a subset of VH and VL germlines in the antigen experienced compartment. Similar biases were not observed in nonproductive heavy chain recombination products, indicating selection of the repertoire during B cell maturation as a major driver of the length biases. Some VH-associated CDR H3 length biases are dependent on utilization of specific JH germline segments in a manner not directly linked to JH segment length in the germline, but are rather associated with selection of differentially trimmed JH segments in the naive compartment. In addition, DH segment and N-region random nucleotide insertion lengths within CDR H3 in the naive compartment were also biased by specific VH/JH germline combinations, indicating a complex set of constraints between germline segments selected during repertoire maturation. Our findings reveal biases in the antibody diversity landscape shaped by VH, VL, and JH germline features with implications for mechanisms of naive and immune repertoire selection.

immunology↗