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Bazrafshan, A.

Publications and source records attributed to Bazrafshan, A..

3 recordsLinked to original sources

DNA Motors Powered by Exonuclease III for Autonomous Rolling Motion and Biosensing Applications

Nucleic acid-based synthetic motors emulate key behaviors of biological machines, enabling applications in biosensing and nanoscale actuation. Among the reported synthetic motors, RNase H-powered motors offer high speed and processivity with demonstrated applications in computation and viral sensing. However, these motors rely on RNA as "fuel" source, limiting their stability. Here, we report the development of a robust, RNA-free DNA motor powered by Exonuclease III. These motors exhibit self-avoiding rolling motion driven by enzymatic hydrolysis of surface-bound DNA fuel strands, consistent with a burnt-bridge Brownian ratchet mechanism of translocation. We systematically optimized motor performance by chemically tuning the fluorescence reporter, DNA sequence composition, and surface fuel density. Fluorescence and brightfield microscopy revealed super-diffusive and Levy-like stop-and-go dynamics under optimized conditions. Importantly, the established DNA-only architecture confers resistance to RNase degradation, and the system can be configured for motion-based biosensing via aptamer-functionalized components that selectively stall in response to viral targets. Beyond the significance of creating a chemically stable, tunable, and biosensing-compatible DNA motor platform, the work also establishes the modularity of the rolling motor platform and highlights how enzymatic diversity can expand their chemical and functional scope.

biophysics↗

Integrative analysis of patient-derived tumoroids and ex vivo organoid modeling of ARID1A loss in bladder cancer reveals therapeutic molecular targets

Somatic mutations in ARID1A (AT-rich interactive domain-containing protein 1A) are present in approximately 25% of bladder cancers (BC) and are associated with poor prognosis. With a view to discover effective treatment options for ARID1A-deficient BC patients, we set out to identify targetable effectors dysregulated consequent to ARID1A deficiency. Integrative analyses of ARID1A depletion in normal organoids and data mining in publicly available datasets revealed upregulation of DNA repair and cell cycle-associated genes consequent to loss of ARID1A and identified CHEK1 (Checkpoint kinase 1) and chromosomal passenger complex member BIRC5 (Baculoviral IAP Repeat Containing 5) as therapeutically drug-able candidate molecular effectors. Ex vivo treatment of patient-derived BC tumoroids with clinically advanced small molecule inhibitors targeting CHEK1 or BIRC5 was associated with increased DNA damage signalling and apoptosis, and selectively induced cell death in tumoroids lacking ARID1A protein expression. Thus, integrating public datasets with patient-derived organoid modelling and ex-vivo drug testing can uncover key molecular effectors and mechanisms of oncogenic transformation, potentially leading to novel therapeutic strategies. Our data point to ARID1A protein expression as a suitable candidate biomarker for the selection of BC patients responsive to therapies targeting BIRC5 and CHEK1.

cancer biology↗

Rolosense: Mechanical detection of SARS-CoV-2 using a DNA-based motor

Assays detecting viral infections play a significant role in limiting the spread of diseases such as SARS-CoV-2. Here we present Rolosense, a virus sensing platform that transduces the motion of synthetic DNA-based motors transporting 5-micron particles on RNA fuel chips. Motors and chips are modified with virus-binding aptamers that lead to stalling of motion. Therefore, motors perform a "mechanical test" of viral target and stall in the presence of whole virions which represents a unique mechanism of transduction distinct from conventional assays. Rolosense can detect SARS-CoV-2 spiked in artificial saliva and exhaled breath condensate with a sensitivity of 103 copies/mL and discriminates among other respiratory viruses. The assay is modular and amenable to multiplexing, as we demonstrated one-pot detection of influenza A and SARS-CoV-2. As a proof-of-concept, we show readout can be achieved using a smartphone camera in as little as 15 mins without any sample preparation steps. Taken together, mechanical detection using Rolosense can be broadly applied to any viral target and has the potential to enable rapid, low-cost, point-of-care screening of circulating viruses.

biophysics↗