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Biology subjects

Sridhar, S.

Publications and source records attributed to Sridhar, S..

61 records · Page 4Linked to original sources

Impact of lossy compression of nanopore raw signal data on basecall and consensus accuracy

MotivationNanopore sequencing provides a real-time and portable solution to genomic sequencing, enabling better assembly, structural variant discovery and modified base detection than second generation technologies. The sequencing process generates a huge amount of data in the form of raw signal contained in fast5 files, which must be compressed to enable efficient storage and transfer. Since the raw data is inherently noisy, lossy compression has potential to significantly reduce space requirements without adversely impacting performance of downstream applications. ResultsWe explore the use of lossy compression for nanopore raw data using two state-of-the-art lossy time-series compressors, and evaluate the tradeoff between compressed size and basecalling/consensus accuracy. We test several basecallers and consensus tools on a variety of datasets at varying depths of coverage, and conclude that lossy compression can provide 35-50% further reduction in compressed size of raw data over the state-of-the-art lossless compressor with negligible impact on basecalling accuracy ([lsim]0.2% reduction) and consensus accuracy ([lsim]0.002% reduction). In addition, we evaluate the impact of lossy compression on methylation calling accuracy and observe that this impact is minimal for similar reductions in compressed size, although further evaluation with improved benchmark datasets is required for reaching a definite conclusion. The results suggest the possibility of using lossy compression, potentially on the nanopore sequencing device itself, to achieve significant reductions in storage and transmission costs while preserving the accuracy of downstream applications. AvailabilityThe code is available at https://github.com/shubhamchandak94/lossy_compression_evaluation. Supplementary informationSupplementary data are available at Bioinformatics online. Contactschandak@stanford.edu

bioinformatics↗

A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities

The COVID-19 pandemic is expanding at an unprecedented rate. As a result, diagnostic services are stretched to their limit, and there is a clear need for the provision of additional diagnostic capacity. Academic laboratories, many of which are closed due to governmental lockdowns, may be in a position to support local screening capacity by adapting their current laboratory practices. Here, we describe the process of developing a SARS-Cov2 diagnostic workflow in a conventional academic Containment Level 2 (CL2) laboratory. Our outline includes simple SARS-Cov2 deactivation upon contact, the methods for a quantitative real-time reverse transcriptase PCR (qRT-PCR) detecting SARS-Cov2, a description of process establishment and validation, and some considerations for establishing a similar workflow elsewhere. This was achieved under challenging circumstances through the collaborative efforts of scientists, clinical staff, and diagnostic staff to mitigate to the ongoing crisis. Within 14 days, we created a validated COVID-19 diagnostics service for healthcare workers in our local hospital. The described methods are not exhaustive, but we hope may offer support to other academic groups aiming to set up something comparable in a short time frame.

molecular biology↗

Molecular Typing of Human Respiratory Adenoviruses with Universal PCR and Sequencing Primers for Three Major Capsid Genes: Penton base, Hexon, and Fiber

Human adenoviruses (HAdVs) within species B, C, and E include the predominant types responsible for highly contagious and potentially severe respiratory infections. The traditional method to type these pathogens was based on virus neutralization and hemagglutination assays using antisera, which is both time-consuming and difficult, particularly due to the non-availability of reagents. Molecular typing based on partial characterization of HAdV hexon, as well as the restriction enzyme analysis (REA) of the genomics DNA, is difficult to identify recombinants. Here, a rapid, simple, and cost-effective molecular typing of respiratory HAdVs is presented. This incorporates three pairs of universal PCR primers that target the variable regions of the three major capsid genes, i.e. hexon, penton base and fiber genes. The protocol developed enables detection and typing of respiratory HAdVs within species B, C, and E, as well as of some strains within species D and F. Using this method, we surveyed a total of 100 children with acute respiratory infection caused by HAdVs in Hong Kong, Summer 2014 (July to October). 100 Throat swab specimens were collected. The samples were analyzed by PCR and the sequences were characterized by BLAST. HAdVs were detected in 98 out of 100 (98%) samples. The predominant HAdV type was species B type 3. Among the patients, 74 were of HAdV-B3 (74%), 10 were of HAdV-E4 (10%), 6 were of HAdV-C2 (21.7%), 2 were of HAdV-C6 (2%), 1 were of HAdV-B7 (2%), 1 were of HAdV-C1 (74%), and 2 were of recombinant types. The developed method allows the rapid identification of HAdVs with recombinant genomes, and bypasses the need for whole genome data, for the real-time surveillance of circulating adenovirus strains in immediate outbreaks and populations by clinical microbiologists, public health officers, and epidemiologists.

microbiology↗

Distinct Neuronal Populations Contribute to Trace Conditioning and Extinction Learning in the Hippocampal CA1

Trace conditioning and extinction learning depend on the hippocampus, but it remains unclear how ongoing neural activities in the hippocampus are modulated during different learning processes. To explore this question, we performed calcium imaging in a large number of individual CA1 neurons during both trace eye-blink conditioning and subsequent extinction learning in mice. Using trial-averaged calcium fluorescence analysis, we found direct evidence that in real time, as learning emerges, distinct populations of CA1 cells contribute to trace conditioned learning versus extinction learning. Furthermore, we examined network connectivity by calculating co-activity between CA1 neuron pairs, and found that CA1 network connectivity is different between conditioning and extinction and between correct versus incorrect behavioral responses during trace conditioned learning. However, the overall connectivity density remains constant across these behavioral conditions. Together, our results demonstrate that distinct populations of CA1 neurons, forming different sub-networks with unique connectivity patterns, encode different aspects of learning.

neuroscience↗

Distinct roles of BRCA2 in replication fork protection in response to hydroxyurea and DNA interstrand crosslinks

DNA interstrand crosslinks (ICLs) are a form of DNA damage that requires the interplay of a number of repair proteins including those of the Fanconi anemia (FA) and the homologous recombination (HR) pathways. Pathogenic variants in the essential gene BRCA2/FANCD1, when monoallelic, predispose to breast and ovarian cancer, and when biallelic, results in a severe subtype of Fanconi anemia. BRCA2 function in the FA pathway is attributed to its role as a mediator of the RAD51 recombinase in HR repair of the programmed DNA double strand breaks (DSB). BRCA2 and RAD51 functions are also required to protect stalled replication forks from nucleolytic degradation during response to hydroxyurea (HU). While RAD51 has been shown to be necessary in the early steps of ICL repair to prevent aberrant nuclease resection, the role of BRCA2 in this process has not been described. Here, based on the analysis of BRCA2 DNA binding domain (DBD) mutants discovered in FA patients presenting with atypical FA-like phenotypes, we establish that BRCA2 is necessary for protection of DNA at an ICL. Cells carrying DBD BRCA2 mutations are sensitive to ICL inducing agents but resistant to HU treatment consistent with relatively high HR repair in these cells. BRCA2 function at an ICL protects against DNA2-WRN nuclease-helicase complex and not the MRE11 nuclease implicated in the resection of HU-stalled replication forks. Our results also indicate that unlike the processing at HU-stalled forks, function of the SNF2 translocases (SMARCAL1, ZRANB3, or HLTF), implicated in fork reversal, are not an integral component of the ICL repair, pointing to a different mechanism of fork protection at different DNA lesions.

molecular biology↗

Identification of bridgin, an unconventional linker, connects the outer kinetochore to centromeric chromatin

The microtubule-binding outer kinetochore is linked to centromeric chromatin through the inner kinetochore CENP-CMif2, CENP-TCnn1, and CENP-UAme1 pathways. These are the only known kinetochore linker proteins across eukaryotes. Linker proteins are structurally less conserved than their outer kinetochore counterparts. Here, we demonstrate the recurrent loss of most inner kinetochore CCAN, including certain linker proteins during evolution in the fungal phylum of Basidiomycota. By studying the kinetochore interactome, a previously undescribed linker protein, bridgin was identified in the basidiomycete Cryptococcus neoformans, a human fungal pathogen. In vivo and in vitro functional analyses of bridgin reveal that it binds to the outer kinetochore and centromere chromatin simultaneously to ensure accurate kinetochore-microtubule attachments. Unlike known linker proteins, bridgin is recruited by the outer kinetochore. Homologs of bridgin were identified outside fungi. These results showcase a divergent strategy, with a more ancient origin than fungi, to link the outer kinetochore to centromeric chromatin.

cell biology↗

Targeted Drug Delivery by Radiation-Induced Tumor Vascular Modulation

Effective drug delivery is severely restricted by the presence of complex pathophysiological barriers in solid tumors. In human pancreatic adenocarcinoma, mature and hypopermeable tumor blood vessels limit the permeation and penetration of chemo or nanotherapeutics to cancer cells and substantially reduce the treatment efficacy. New, clinically-viable strategies are therefore sought to breach the neoplastic barriers that prevent optimal tumor-specific drug delivery. Here, we present an original idea to boost targeted drug delivery by selectively knocking down the tumor vascular barrier in a poorly permeable human pancreatic cancer model. For the first time, we demonstrate that clinical irradiation (10 Gy, 6 MV) can induce tumor vascular modulation when combined with tumor endothelial-targeting gold nanoparticles. Active disruption of tumor blood vessels by nanoparticle-combined radiotherapy led to increased vessel permeability and improved tumor uptake of two prototypical model nanodrugs: i) a short-circulating nanocarrier with MR-sensitive gadolinium (Gad-NC; 8 kDa; t1/2=1.5 h) and ii) a long-circulating nanocarrier with fluorescence-sensitive NIR dye (FL-NC; 30 kDa; t1/2=25 h). Functional changes in the altered tumor vessel dynamics, measured by relative changes in permeability (Ktrans), flux rate (Kep) and extracellular interstitial volume (Ve) were consistent with the concomitant increase in nanodrug delivery. This combination of radiation-induced antivascular and nanodrug-mediated anti-tumor treatment offers high therapeutic benefit for tumors with pathophysiology that restricts efficient drug delivery.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC=\"FIGDIR/small/268714_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (84K):\norg.highwire.dtl.DTLVardef@a6df8borg.highwire.dtl.DTLVardef@19e3179org.highwire.dtl.DTLVardef@c223aaorg.highwire.dtl.DTLVardef@1b3a08d_HPS_FORMAT_FIGEXP M_FIG GRAPHICAL ABSTRACT\n\nC_FIG

bioengineering↗