Project description:The purpose of this study is to determine the proportion of patients diagnosed with Lynch syndrome in colorectal cancer patients with the loss of staining by immunohistochemistry (IHC) of any of the mismatch repair (MMR) proteins. Besides, this study aims to test the specificity and the sensitivity of detecting microsatellite instability (MSI) by next-generation sequencing, and to find out the consistency between IHC and MSI in colorectal cancer patients in China. In addition, researchers want to analyze the clinical characteristics and germline mutation of Lynch syndrome in Chinese population.
Project description:We performed the next-generation sequencing for an isogenic WASP-KO macrophage model. Above 65 million clean reads per sample were obtained. We found the numerous RNA splicing asscoiated genes were overexpressed and thousands of mRNA events were aberrantly spliced in WASP-KO macrophages.
Project description:Human breast cancer cells MDA-MB-435 had higher metastatic potential and other aggressive characteristics than MCF-7 cells. Next-generation RNA sequencing (RNA-Seq) was used to clear this concern through comparison the transcriptomic expression profiles of these two cells. Total RNA were extracted from MCF-7 and MDA-MB-435S cells, and the polyA+ mRNA was sequenced using Illumina Genome Analyzer IIx. The reads were mapped to RefSeq RNA reference sequences.
Project description:One of the cornerstones of an effective biodefense strategy is the ability to detect infectious agents with a high degree of sensitivity and specificity in the context of a complex sample background. The nature of the B. anthracis genome, however, renders specific detection difficult, due to close homology with B. cereus and B. thuringiensis. We therefore elected to determine the efficacy of next-generation sequencing analysis and microarrays for detection of B. anthracis in an environmental background. We applied next-generation sequencing to titrated genome copy numbers of B. anthracis in the presence of background nucleic acid extracted from aerosol and soil samples. We found next-generation sequencing to be capable of detecting as few as 10 genomic equivalents of B. anthracis DNA per nanogram of background nucleic acid. Detection was accomplished by mapping reads to either a defined subset of reference genomes or to the full GenBank database. Moreover, sequence data obtained from B. anthracis could be reliably distinguished from sequence data mapping to either B. cereus or B. thuringiensis. We also demonstrated the efficacy of a microbial census microarray in detecting B. anthracis in the same samples, representing a cost-effective and high-throughput approach, complementary to next-generation sequencing. This Series contains the NimbleGen array data only (no next-generation sequencing data). B. anthracis DNA was spiked at 6 different concentrations (1, 10, 100, 1000, 10000 and 100000 genome copies) into 1 ng of background nucleic acids extracted either from a soil sample or from an aerosol (air filter) sample. Two replicates of each combination of B. anthracis copy number and background sample were analyzed.
Project description:Next Generation Sequencing (NGS)-based mRNA sequencing (RNA-seq) has provided high-throughput measurements to analyze the transcriptome of cells. We are reporting comprehensive transcriptome profiling of primarily isolated human adipose-derived mesenchymal stem cells (ADMSC) throughout consecutive culture passages using NGS-based RNA-seq method. Human adipose tissue was obtained from operative remains and and digested in collagenase X. ADMSC were isolated, cultivated and characterized as mesenchymal stem cells (MSC) according to the minimum criteria for defining multipotent MSC from the International Society for Cellular Therapy (ISCT). mRNA profiles of ADMSC in p0, p1 and p2 were quality controlled, and generated by deep sequencing, in triplicate, using Illumina PE150 kits. Paired-end raw data were pre-processed using a published protocol. HISAT2 (Hierarchical Indexing for Spliced Alignment of Transcripts) was used to align reference genome. HTSeq was used to calculate Reads Count, and gene abundence was determined by analyzing FPKM (fragments per kilobase of exon model per million reads mapped).
Project description:BackgroundMetagenomics can reveal the vast majority of microbes that have been missed by traditional cultivation-based methods. Due to its extremely wide range of application areas, fast metagenome sequencing simulation systems with high fidelity are in great demand to facilitate the development and comparison of metagenomics analysis tools.ResultsWe present here a customizable metagenome simulation system: NeSSM (Next-generation Sequencing Simulator for Metagenomics). Combining complete genomes currently available, a community composition table, and sequencing parameters, it can simulate metagenome sequencing better than existing systems. Sequencing error models based on the explicit distribution of errors at each base and sequencing coverage bias are incorporated in the simulation. In order to improve the fidelity of simulation, tools are provided by NeSSM to estimate the sequencing error models, sequencing coverage bias and the community composition directly from existing metagenome sequencing data. Currently, NeSSM supports single-end and pair-end sequencing for both 454 and Illumina platforms. In addition, a GPU (graphics processing units) version of NeSSM is also developed to accelerate the simulation. By comparing the simulated sequencing data from NeSSM with experimental metagenome sequencing data, we have demonstrated that NeSSM performs better in many aspects than existing popular metagenome simulators, such as MetaSim, GemSIM and Grinder. The GPU version of NeSSM is more than one-order of magnitude faster than MetaSim.ConclusionsNeSSM is a fast simulation system for high-throughput metagenome sequencing. It can be helpful to develop tools and evaluate strategies for metagenomics analysis and it's freely available for academic users at http://cbb.sjtu.edu.cn/~ccwei/pub/software/NeSSM.php.
Project description:Targeted enrichment-based next-generation sequencing or whole exome sequencing were taken for patients with hypomyelinating leukodystrophies to reveal genetic aetiologies. All genomic DNA used in the experiments was extracted from the peripheral leukocytes. A complete kit was synthetized using the Agilent SureSelect Target Enrichment technique, capturing the coding regions from 104 candidate genes, including their exons and exon-intron boundaries (11,473 probes, 383.065 kbp in total). The following NGS which included equipment and reagents was performed on an Illumina NEXTSEQ500 platform manufactured by Illumina (San Diego, California, USA) using paired-end sequencing of 110 bp. The clean paired-end reads were aligned to the human reference genome build hg19, which was previously annotated using ANNOVAR, in addition to insertion-deletion (indel) and single-nucleotide polymorphism (SNP) calling.