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Pandit, B.

Publications and source records attributed to Pandit, B..

4 recordsLinked to original sources

Pore-Based RNA Evaluation for Control of Integrity, Sequence, and Errors - Quality Control (PRECISE-QC)

RNA is at the forefront of therapeutics and gene editing technologies. Yet, RNA synthesis remains expensive and low-yield. Consequently, most oligo manufacturers abstain from synthesizing RNA oligos longer than 60-mers. Solid-phase synthesis is the current standard production method but is often fraught with low coupling yields for canonical nucleotides and even poorer coupling for modifications. This results in high levels of byproducts such as truncations and RNA infidelity. Existing analytical methods can only provide quality control metrics such as RNA length distribution or limited composition information for short oligos. Here, we developed a standard quality control metric using Oxford Nanopore direct RNA sequencing to obtain direct insight into RNA length distribution, sequence, and presence of RNA modification sites. Our pipeline identifies error-prone regions and truncation sites that occur during synthesis. Furthermore, problematic steps in the synthesis are identified and repaired. We show that our platform can produce and assess CRISPR guide RNAs with high-fidelity and higher cleavage activity, and further, that modifications can be reliably detected. We envision that our tool will serve as an integral method for quality control pipelines that assess the integrity and accuracy of synthetic RNAs and guide the improved synthesis and yield of synthesized RNAs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/677417v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@1163a7forg.highwire.dtl.DTLVardef@5a709corg.highwire.dtl.DTLVardef@19737e6org.highwire.dtl.DTLVardef@d71a60_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Temporal Control of CRISPR-Cas9 Activity Using Bio-orthogonal Chemistry.

The CRISPR-Cas9 system has become a widely used tool for genome engineering. Here we present a new method for small-molecule control of CRISPR-Cas9 using bio-orthogonal chemistry between tetrazine (Tz) and trans-cyclooctene (TCO). We carried out molecular modeling studies and identified a unique position on single guide RNA (sgRNA) that can be site-specifically tagged with Tz without disrupting its activity. We also synthesized a series of TCO-modified CRISPR suppressors. When exogenously added, they click to the Tz-tagged sgRNA, perturb the system and drastically reduce the nuclease activity. The most successful suppressor is a TCO-modified six amino acid long cell-penetrating peptide, which shows excellent cell permeability. We showed that out method to control CRISPR-Cas9 nuclease activity is general by applying it to three different sgRNAs. We also showed that our method works in solution, as well as live HEL293 cells. We utilized flow cytometry to demonstrate temporal control of CRISPR-Cas9 targeting GFP. Lastly, we showed the therapeutic potential of our method by targeting vascular endothelial growth factor A (VEGFA).

biochemistry↗

Major Contribution of Myeloid Cells In TB specific Host Gene Signature: Revelations from Re-Analysis of Publicly Available Datasets

IntroductionInteraction of human host and its pathogen M.tuberculosis drives tuberculosis disease, resulting in dysregulation of host gene expression. We re-analyzed host gene expression datasets of TB to identify and validate a cellular circuit by interlinking the DEGs with their target miRNAs, GWAS hits associated with immunological phenotypes mapping to the DEGs and associated cellular subtypes through bioinformatic and experimental approaches. MethodologyDEGs were identified systematically through re-analysis of whole blood host transcriptomic datasets of treatment-naive TB patients, obtained from public repositories having at least 1.2 fold change of expression and FDR corrected p-value <0.05. Using well characterized M.tb antigens: Ag85 complex, LAM, CFP10 and ESAT6, we evaluated their effect on the expression of a subset of the top DEGs with at least two fold change of expression in a monocytic cell line THP1 with or without differentiation into a macrophage-like state with PMA and a T cell line Jurkat E6-1. ResultsWe discovered 305 DEGs (236 up and 69 down-regulated genes) out of which 23 (21 up and 2 down-regulated genes) were top DEGs. Overall, innate immune and myeloid cell associated pathways were enriched for up-regulated genes while T cell associated pathways were enriched for down-regulated genes. Among top DEGs, EPSTI1 was predominantly up-regulated in macrophages while SERPING1 was universally up-regulated in the monocyte model by all antigens. The down-regulation of gene expression was replicated by ESAT6 in T cell line by significantly down-regulating a top down-regulated gene LRRN3.

immunology↗

Phylogenetic clustering of the Indian SARS-CoV-2 genomes reveals the presence of distinct clades of viral haplotypes among states

The first Indian cases of COVID-19 caused by SARS-Cov-2 were reported in February 29, 2020 with a history of travel from Wuhan, China and so far above 4500 deaths have been attributed to this pandemic. The objectives of this study were to characterize Indian SARS-CoV-2 genome-wide nucleotide variations, trace ancestries using phylogenetic networks and correlate state-wise distribution of viral haplotypes with differences in mortality rates. A total of 305 whole genome sequences from 19 Indian states were downloaded from GISAID. Sequences were aligned using the ancestral Wuhan-Hu genome sequence (NC_045512.2). A total of 633 variants resulting in 388 amino acid substitutions were identified. Allele frequency spectrum, and nucleotide diversity ({pi}) values revealed the presence of higher proportions of low frequency variants and negative Tajimas D values across ORFs indicated the presence of population expansion. Network analysis highlighted the presence of two major clusters of viral haplotypes, namely, clade G with the S:D614G, RdRp: P323L variants and a variant of clade L [Lv] having the RdRp:A97V variant. Clade G genomes were found to be evolving more rapidly into multiple sub-clusters including clade GH and GR and were also found in higher proportions in three states with highest mortality rates namely, Gujarat, Madhya Pradesh and West Bengal.

genomics↗