Biology subjects

Mehta, D. S.

Publications and source records attributed to Mehta, D. S..

4 recordsLinked to original sources

bioRxiv2023

Honeycomb-inspired SERS nano-bowls for rapid capture and analysis of extracellular vesicles and liposomes in suspension

Nanoscale carriers such as liposomes and extracellular vesicles (EVs) are readily being explored for personalized medicine or disease prediction and diagnostics, respectively. Owing to their small size, such nanocarriers can undergo endocytosis or exocytosis, providing means to either transport cargo to the cells (liposomes) or to serve as a biomarker (EVs). When looking at current analysis methods, there is a growing need for detailed characterization of the content and composition of such nanocarriers in their natural state in aqueous media. This can be achieved through surface-enhanced Raman spectroscopy (SERS), which provides a molecular fingerprint of the analytes while reducing the detection limit. In this paper, we utilize a nano-structured SERS substrate to study different bio-nanoparticles such as liposomes, EVs and DNA nanogel in suspension. A silver-coated polydimethylsiloxane (PDMS) film-based honeycomb shaped nano-bowl surface passively traps and reduces the mobility of the nanosized bio-particles, improving the intensity and the reproducibility of the SERS signal. FDTD simulations are used for substrate geometry optimization, and a detection limit of 10-15 M is demonstrated for Rhodamine 6G (R6G). The potential of the proposed SERS nano-bowl is shown through distinct spectral features following surface-(polyethylene glycol) and bilayer-(cholesterol) modification of empty liposomes. For DNA nanogels, the characterization of highly crosslinked DNA specimens exhibits enhanced peaks for nitrogenous bases, sugar, and phosphate groups. EVs isolated from various cells provided spectral signatures of specific protein content, lipid components, and nucleic acids. Concluding, the findings of the spectral signatures of a wide range of molecular complexes and chemical morphology of bio-membranes in their natural state highlight the possibilities of using SERS as a sensitive and instantaneous characterization alternative.

biophysics↗

bioRxiv2023

SERS nanowire chip and machine learning enabled instant identification and classification of clinically relevant wild-type and antibiotic resistant bacteria at species and strain level

The world health organization considers antimicrobial resistance (AMR) to be a critical global public health problem. Conventional culture-based methods that are used to detect and identify bacterial infection are slow. Thus, there is a growing need for the development of robust, cost-effective, and fast diagnostic solutions for the identification of pathogens. Surface-enhanced Raman spectroscopy (SERS) can be used to identify target analytes with sensitivity down to the single-molecule level. Here, we developed a SERS chip by optimizing the entire fabrication pipeline of the metal-assisted chemical etching (MACE) method. The MACE approach offers a large-scale, densely packed silver (Ag) nanostructure on top of silicon nanowires (Si-NWs) with a large aspect ratio that significantly enhances the Raman signal due to localised surface plasmonic enhancement. The optimised SERS chips exhibited sensitivity down to 10-12 M concentration of R6G molecule and detected reproducible Raman spectra of bacteria down to a concentration of 100 colony forming units (CFU)/ml, which is a thousand times lower than the clinical threshold of bacterial infections like UTI (105 CFU/ml). A Siamese neural network model was used to classify SERS Raman spectra from bacteria specimens. The trained model identified 12 different bacterial species, including those which are causative agents for tuberculosis and urinary tract infection (UTI). Next, the SERS chips and another Siamese neural network model were used to differentiate antibiotic-resistant strains from susceptible strains of E. coli. The enhancement offered by SERS chip enabled acquisitions of Raman spectra of bacteria directly in the synthetic urine by spiking the sample with only 103 CFU/ml E. coli. Thus, the present study lays the ground for the identification and quantification of bacteria on SERS chips, thereby offering a potential future use for rapid, reproducible, label-free, and low limit detection of clinical pathogens.

biophysics↗

bioRxiv2021

The RNA-binding protein Orb2 is associated with microcephaly and supports centrosome asymmetry in neural stem cells

To maintain a balance of self-renewal versus neurogenesis, neural stem cells (NSCs) undergo asymmetric cell division along an invariant polarity axis instructed by centrosomes. In the NSCs of the third instar Drosophila larval brain, the interphase centrosomes are defined by marked asymmetries in protein composition and functional activity as microtubule-organizing centers. Here we show that a conserved RNA-binding protein, Orb2, supports NSC centrosome asymmetry by localizing to the cytoplasm, where it promotes robust apical centrosome maturation and transient basal centrosome inactivation, required for centrosome segregation and spindle morphogenesis. Orb2 is required cell autonomously within NSCs to support centrosome asymmetry and maintenance of the stem cell pool. We suggest Orb2 plays opposing roles in centrosome activation and inactivation at the apical versus basal centrosomes respectively, possibly through the translational regulation of multiple mRNAs. Conversely, loss of orb2 manifests in microcephaly independent of Orb2 function in NSCs. Bioinformatics uncovers a significant overlap among RNA targets between Drosophila Orb2 and human CPEB4, consistent with a conserved role for CPEB proteins in centrosome regulation and neurodevelopment.

cell biology↗

bioRxiv2021

Drosophila centrocortin is dispensable for centriole duplication but contributes to centrosome separation

Centrosomes are microtubule-organizing centers that duplicate exactly once to organize the bipolar mitotic spindle required for error-free mitosis. Prior work indicated that Drosophila centrocortin (cen) is required for normal centrosome separation, although a role in centriole duplication was not closely examined. Through time-lapse recordings of rapid syncytial divisions, we monitored centriole duplication and the kinetics of centrosome separation in control versus cen null embryos. Our data suggest that although cen is dispensable for centriole duplication, it contributes to centrosome separation.

cell biology↗