Bidhan Chaudhuri

Bio: Bidhan Chaudhuri is an academic researcher from Pacific Biosciences. The author has contributed to research in topics: Single molecule real time sequencing & Multiple displacement amplification. The author has an hindex of 4, co-authored 4 publications receiving 4438 citations.

Real-Time DNA Sequencing from Single Polymerase Molecules

Abstract: We present single-molecule, real-time sequencing data obtained from a DNA polymerase performing uninterrupted template-directed synthesis using four distinguishable fluorescently labeled deoxyribonucleoside triphosphates (dNTPs). We detected the temporal order of their enzymatic incorporation into a growing DNA strand with zero-mode waveguide nanostructure arrays, which provide optical observation volume confinement and enable parallel, simultaneous detection of thousands of single-molecule sequencing reactions. Conjugation of fluorophores to the terminal phosphate moiety of the dNTPs allows continuous observation of DNA synthesis over thousands of bases without steric hindrance. The data report directly on polymerase dynamics, revealing distinct polymerization states and pause sites corresponding to DNA secondary structure. Sequence data were aligned with the known reference sequence to assay biophysical parameters of polymerization for each template position. Consensus sequences were generated from the single-molecule reads at 15-fold coverage, showing a median accuracy of 99.3%, with no systematic error beyond fluorophore-dependent error rates.

Real-time DNA sequencing from single polymerase molecules.

Abstract: Pacific Biosciences has developed a method for real-time sequencing of single DNA molecules (Eid et al., 2009), with intrinsic sequencing rates of several bases per second and read lengths into the kilobase range. Conceptually, this sequencing approach is based on eavesdropping on the activity of DNA polymerase carrying out template-directed DNA polymerization. Performed in a highly parallel operational mode, sequential base additions catalyzed by each polymerase are detected with terminal phosphate-linked, fluorescence-labeled nucleotides. This chapter will first outline the principle of this single-molecule, real-time (SMRT) DNA sequencing method, followed by descriptions of its underlying components and typical sequencing run conditions. Two examples are provided which illustrate that, in addition to the DNA sequence, the dynamics of DNA polymerization from each enzyme molecules is directly accessible: the determination of base-specific kinetic parameters from single-molecule sequencing reads, and the characterization of DNA synthesis rate heterogeneities.

Nanopore sequencing devices and methods

Abstract: The invention relates to devices and methods for nanopore sequencing. The invention includes arrays of nanopores having incorporated electronic circuits, for example, in CMOS. In some cases, the arrays of nanopores comprise resistive openings for isolating the electronic signals for improved sequencing. Methods for controlling translocation of through the nanopore are disclosed.

Sealed chip package

Abstract: The invention provides environmental packages, instruments, and methods for sealing, protecting, and providing analysis chips for processing and analysis. The analysis chips are bonded directly or indirectly to chip carriers which are held within the chambers of an environmental packaging strip. The chambers are sealed with a sealing film such that the chip carriers can be extracted using a piercing tool and an extraction tool.

Abstract 4320: A novel digitally directed tissue microdissection platform integrates digital pathology with molecular analysis: Case study in metastatic colorectal cancer

Abstract: Artificial intelligence (AI) based digital pathology has been getting rapid adoption over the last 2 to 3 years These AI based digital pathology models can analyze samples at high resolution and scale Retaining that resolution at scale through molecular analysis is key to the discovery of novel biomarkers We have developed a technology that can integrate AI-supported digital pathology (DP) algorithms to identify informative tissue regions for selective microdissection to improve molecular analysis of FFPE material The system is capable of extracting DNA, RNA or proteins with cellular (10 micron) resolution from FFPE tissue sections. The samples are ready for use in off-the-shelf molecular analysis workflows (qPCR, Next Gen Sequencing, etc) The system decreases the tumor cellularity requirements for clinical analysis by extracting only the area enriched for informative biomarkers To demonstrate the capability of the system we used an AI based digital pathology model that was developed to identify multiple cellular phenotypes from a H&E stained colorectal cancer FFPE tissue sections We used the digital pathology output to guide the microdissection of RNA from tumor buds, carcinoma, immature stroma and inflammatory stroma in a paired designed RNA seq experiment The data showed that the system is capable of enriching the tumor-bud tissue content from<1% in the tissue to ~50% purity in the crude lysate Bioinformatic analysis of the RNAseq signatures showed that the tumor buds had a distinct RNAseq signature relative to the other three cell types and that the gene expression pattern was consistent with EMT pathways. The methodology is scalable, robust, and simpler than current microdissection techniques. This technology can be used to develop novel tests by integrating with AI algorithms, targeting tissue enriched for predictive biomarkers, and enabling low tumor cellularity samples to be analyzed with high precision. Citation Format: John H. Butler, Bidhan Chaudhuri, Katie Konigsfeld, Rish Pai. A novel digitally directed tissue microdissection platform integrates digital pathology with molecular analysis: Case study in metastatic colorectal cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4320.

Fast and accurate short read alignment with Burrows–Wheeler transform

Abstract: Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ~10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: [email protected]

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

Sequencing technologies-the next generation

Abstract: Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest.

De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

Abstract: De novo assembly of RNA-seq data enables researchers to study transcriptomes without the need for a genome sequence; this approach can be usefully applied, for instance, in research on 'non-model organisms' of ecological and evolutionary importance, cancer samples or the microbiome. In this protocol we describe the use of the Trinity platform for de novo transcriptome assembly from RNA-seq data in non-model organisms. We also present Trinity-supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages for identifying differentially expressed transcripts across samples and approaches to identify protein-coding genes. In the procedure, we provide a workflow for genome-independent transcriptome analysis leveraging the Trinity platform. The software, documentation and demonstrations are freely available from http://trinityrnaseq.sourceforge.net. The run time of this protocol is highly dependent on the size and complexity of data to be analyzed. The example data set analyzed in the procedure detailed herein can be processed in less than 5 h.

Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies

Abstract: 16S ribosomal RNA gene (rDNA) amplicon analysis remains the standard approach for the cultivation-independent investigation of microbial diversity. The accuracy of these analyses depends strongly on the choice of primers. The overall coverage and phylum spectrum of 175 primers and 512 primer pairs were evaluated in silico with respect to the SILVA 16S/18S rDNA non-redundant reference dataset (SSURef 108 NR). Based on this evaluation a selection of 'best available' primer pairs for Bacteria and Archaea for three amplicon size classes (100-400, 400-1000, ≥ 1000 bp) is provided. The most promising bacterial primer pair (S-D-Bact-0341-b-S-17/S-D-Bact-0785-a-A-21), with an amplicon size of 464 bp, was experimentally evaluated by comparing the taxonomic distribution of the 16S rDNA amplicons with 16S rDNA fragments from directly sequenced metagenomes. The results of this study may be used as a guideline for selecting primer pairs with the best overall coverage and phylum spectrum for specific applications, therefore reducing the bias in PCR-based microbial diversity studies.