Single-molecule long-read (SMRT) transcriptome sequencing of Mercenaria mercenaria reveals a powerful anti-apoptotic system critical for air exposure endurance

2021 ◽  
Vol 38 ◽  
pp. 100792
Author(s):  
Cong Zhou ◽  
Hao Song ◽  
Mei-jie Yang ◽  
Xiao-cheng Wang ◽  
Zheng-lin Yu ◽  
...  
Keyword(s):  
Single Molecule ◽  
Transcriptome Sequencing ◽  
Mercenaria Mercenaria ◽  
Air Exposure ◽  
Long Read

scholarly journals Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line

2017 ◽  
Author(s):  
Maria Nattestad ◽  
Sara Goodwin ◽  
Karen Ng ◽  
Timour Baslan ◽  
Fritz J. Sedlazeck ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Line ◽  
Cancer Progression ◽  
Single Molecule ◽  
Transcriptome Sequencing ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Structural Variations ◽  
Depth Analysis ◽  
Long Read

AbstractThe SK-BR-3 cell line is one of the most important models for HER2+ breast cancers, which affect one in five breast cancer patients. SK-BR-3 is known to be highly rearranged although much of the variation is in complex and repetitive regions that may be underreported. Addressing this, we sequenced SK-BR-3 using long-read single molecule sequencing from Pacific Biosciences, and develop one of the most detailed maps of structural variations (SVs) in a cancer genome available with nearly 20,000 variants present, most of which were missed by prior efforts. Surrounding the important HER2 locus, we discover a complex sequence of nested duplications and translocations, suggesting a punctuated progression. Full-length transcriptome sequencing further revealed several novel gene fusions within the nested genomic variants. Combining long-read genome and transcriptome sequencing enables an in-depth analysis of how SVs disrupt the transcriptome and sheds new light on the complexity of cancer progression.

scholarly journals A Single-Molecule Long-Read Survey of Human Transcriptomes using LoopSeq Synthetic Long Read Sequencing

2019 ◽  
Author(s):  
Indira Wu ◽  
Tuval Ben-Yehezkel
Keyword(s):  
Single Molecule ◽  
Transcriptome Sequencing ◽  
Splice Variants ◽  
Error Rates ◽  
Full Length ◽  
Tissue Samples ◽  
Short Read ◽  
Short Read Sequencing ◽  
Long Read ◽  
Sequence Reconstruction

AbstractState-of-the-art short-read transcriptome sequencing methods employ unique molecular identifier (UMI) to accurately classify and count mRNA transcripts. A fundamental limitation of UMI-based short-read transcriptome sequencing is that each read typically covers a small fraction of the transcript sequence. Efforts to accurately characterize splicing isoforms, arguably the largest source of variation in Human gene expression, using short read sequencing have therefore largely relied on computational predictions of transcript isoforms based on indirect observations. Here we describe a transcript counting, synthetic long read method for sequencing whole transcriptomes using short read sequencing platforms and no additional hardware. The method enables full-length mRNA sequence reconstruction at single-nucleotide resolutions with high-throughput, low error rates and UMI based transcript counting using any Illumina sequencer. We describe results from whole transcriptome sequencing from total RNA extracted from 3 human tissue samples: brain, liver, and blood. Reconstructed transcript sequences are characterized and annotated using SQANTI, an analysis pipeline for assessing the sequence quality of long-read transcriptomes. Our results demonstrate that LoopSeq synthetic long-read sequencing can reconstruct contigs up to 3,900nt full-length transcripts using tissue extracted RNA, as well as identify novel splice variants of known junction donors and acceptors.

scholarly journals Analysis of HLA-G long-read genomic sequences in mother–offspring pairs with preeclampsia

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ayako Nishizawa ◽  
Kazuki Kumada ◽  
Keiko Tateno ◽  
Maiko Wagata ◽  
Sakae Saito ◽  
...  
Keyword(s):  
Single Molecule ◽  
Gene Polymorphisms ◽  
Genomic Dna ◽  
Genomic Sequences ◽  
Genomic Sequencing ◽  
Public Database ◽  
Coding Sequences ◽  
Pacbio Rs Ii ◽  
Potential Association ◽  
Long Read

AbstractPreeclampsia is a pregnancy-induced disorder that is characterized by hypertension and is a leading cause of perinatal and maternal–fetal morbidity and mortality. HLA-G is thought to play important roles in maternal–fetal immune tolerance, and the associations between HLA-G gene polymorphisms and the onset of pregnancy-related diseases have been explored extensively. Because contiguous genomic sequencing is difficult, the association between the HLA-G genotype and preeclampsia onset is controversial. In this study, genomic sequences of the HLA-G region (5.2 kb) from 31 pairs of mother–offspring genomic DNA samples (18 pairs from normal pregnancies/births and 13 from preeclampsia births) were obtained by single-molecule real-time sequencing using the PacBio RS II platform. The HLA-G alleles identified in our cohort matched seven known HLA-G alleles, but we also identified two new HLA-G alleles at the fourth-field resolution and compared them with nucleotide sequences from a public database that consisted of coding sequences that cover the 3.1-kb HLA-G gene span. Intriguingly, a potential association between preeclampsia onset and the poly T stretch within the downstream region of the HLA-G*01:01:01:01 allele was found. Our study suggests that long-read sequencing of HLA-G will provide clues for characterizing HLA-G variants that are involved in the pathophysiology of preeclampsia.

scholarly journals MBRS-47. RAPID MOLECULAR SUBGROUPING OF MEDULLOBLASTOMA BASED ON DNA METHYLATION BY NANOPORE SEQUENCING

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii406-iii406
Author(s):  
Julien Masliah-Planchon ◽  
Elodie Girard ◽  
Philipp Euskirchen ◽  
Christine Bourneix ◽  
Delphine Lequin ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Single Molecule ◽  
Nanopore Sequencing ◽  
Molecular Subgroup ◽  
Group Assignment ◽  
Group 4 ◽  
Methylation Assay ◽  
Tumor Group ◽  
Long Read ◽  
Group 3

Abstract Medulloblastoma (MB) can be classified into four molecular subgroups (WNT group, SHH group, group 3, and group 4). The gold standard of assignment of molecular subgroup through DNA methylation profiling uses Illumina EPIC array. However, this tool has some limitation in terms of cost and timing, in order to get the results soon enough for clinical use. We present an alternative DNA methylation assay based on nanopore sequencing efficient for rapid, cheaper, and reliable subgrouping of clinical MB samples. Low-depth whole genome with long-read single-molecule nanopore sequencing was used to simultaneously assess copy number profile and MB subgrouping based on DNA methylation. The DNA methylation data generated by Nanopore sequencing were compared to a publicly available reference cohort comprising over 2,800 brain tumors including the four subgroups of MB (Capper et al. Nature; 2018) to generate a score that estimates a confidence with a tumor group assignment. Among the 24 MB analyzed with nanopore sequencing (six WNT, nine SHH, five group 3, and four group 4), all of them were classified in the appropriate subgroup established by expression-based Nanostring subgrouping. In addition to the subgrouping, we also examine the genomic profile. Furthermore, all previously identified clinically relevant genomic rearrangements (mostly MYC and MYCN amplifications) were also detected with our assay. In conclusion, we are confirming the full reliability of nanopore sequencing as a novel rapid and cheap assay for methylation-based MB subgrouping. We now plan to implement this technology to other embryonal tumors of the central nervous system.

scholarly journals Survey of the Bradysia odoriphaga Transcriptome Using PacBio Single-Molecule Long-Read Sequencing

Genes ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 481 ◽  
Author(s):  
Chen ◽  
Lin ◽  
Xie ◽  
Zhong ◽  
Zhang ◽  
...  
Keyword(s):  
Insecticide Resistance ◽  
Single Molecule ◽  
Functional Categories ◽  
Genetic Studies ◽  
Sequencing Technologies ◽  
Clusters Of Orthologous Groups ◽  
Long Read ◽  
Main Gene ◽  
First Time ◽  
Main Factor

The damage caused by Bradysia odoriphaga is the main factor threatening the production of vegetables in the Liliaceae family. However, few genetic studies of B. odoriphaga have been conducted because of a lack of genomic resources. Many long-read sequencing technologies have been developed in the last decade; therefore, in this study, the transcriptome including all development stages of B. odoriphaga was sequenced for the first time by Pacific single-molecule long-read sequencing. Here, 39,129 isoforms were generated, and 35,645 were found to have annotation results when checked against sequences available in different databases. Overall, 18,473 isoforms were distributed in 25 various Clusters of Orthologous Groups, and 11,880 isoforms were categorized into 60 functional groups that belonged to the three main Gene Ontology classifications. Moreover, 30,610 isoforms were assigned into 44 functional categories belonging to six main Kyoto Encyclopedia of Genes and Genomes functional categories. Coding DNA sequence (CDS) prediction showed that 36,419 out of 39,129 isoforms were predicted to have CDS, and 4319 simple sequence repeats were detected in total. Finally, 266 insecticide resistance and metabolism-related isoforms were identified as candidate genes for further investigation of insecticide resistance and metabolism in B. odoriphaga.

scholarly journals Hapo-G, haplotype-aware polishing of genome assemblies with accurate reads

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Jean-Marc Aury ◽  
Benjamin Istace
Keyword(s):  
Single Molecule ◽  
Direct Consequence ◽  
High Quality ◽  
Sequencing Errors ◽  
Coding Regions ◽  
Sequencing Technologies ◽  
Long Reads ◽  
Oxford Nanopore ◽  
Long Read ◽  
Genome Assemblies

Abstract Single-molecule sequencing technologies have recently been commercialized by Pacific Biosciences and Oxford Nanopore with the promise of sequencing long DNA fragments (kilobases to megabases order) and then, using efficient algorithms, provide high quality assemblies in terms of contiguity and completeness of repetitive regions. However, the error rate of long-read technologies is higher than that of short-read technologies. This has a direct consequence on the base quality of genome assemblies, particularly in coding regions where sequencing errors can disrupt the coding frame of genes. In the case of diploid genomes, the consensus of a given gene can be a mixture between the two haplotypes and can lead to premature stop codons. Several methods have been developed to polish genome assemblies using short reads and generally, they inspect the nucleotide one by one, and provide a correction for each nucleotide of the input assembly. As a result, these algorithms are not able to properly process diploid genomes and they typically switch from one haplotype to another. Herein we proposed Hapo-G (Haplotype-Aware Polishing Of Genomes), a new algorithm capable of incorporating phasing information from high-quality reads (short or long-reads) to polish genome assemblies and in particular assemblies of diploid and heterozygous genomes.

scholarly journals Biological Nanopores: Engineering on Demand

Life ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 27
Author(s):  
Ana Crnković ◽  
Marija Srnko ◽  
Gregor Anderluh
Keyword(s):  
Molecular Biology ◽  
Single Molecule ◽  
Enzymatic Reactions ◽  
Label Free ◽  
Natural Sources ◽  
On Demand ◽  
Label Free Detection ◽  
Long Read ◽  
Inorganic Molecules ◽  
Standard Molecular Biology

Nanopore-based sensing is a powerful technique for the detection of diverse organic and inorganic molecules, long-read sequencing of nucleic acids, and single-molecule analyses of enzymatic reactions. Selected from natural sources, protein-based nanopores enable rapid, label-free detection of analytes. Furthermore, these proteins are easy to produce, form pores with defined sizes, and can be easily manipulated with standard molecular biology techniques. The range of possible analytes can be extended by using externally added adapter molecules. Here, we provide an overview of current nanopore applications with a focus on engineering strategies and solutions.

Fatal Respiratory Diphtheria Caused by ß-Lactam–Resistant Corynebacterium diphtheriae

2020 ◽  
Author(s):  
Brian M Forde ◽  
Andrew Henderson ◽  
Elliott G Playford ◽  
David Looke ◽  
Belinda C Henderson ◽  
...  
Keyword(s):  
Single Molecule ◽  
Genomic Analysis ◽  
Carbapenem Resistance ◽  
Corynebacterium Diphtheriae ◽  
Penicillin Binding Protein ◽  
Long Read ◽  
Amoxicillin Clavulanic Acid ◽  
Resistance To Penicillin ◽  
High Level

Abstract Background Diphtheria is a potentially fatal respiratory disease caused by toxigenic Corynebacterium diphtheriae. Although resistance to erythromycin has been recognized, β-lactam resistance in toxigenic diphtheria has not been described. Here, we report a case of fatal respiratory diphtheria caused by toxigenic C. diphtheriae resistant to penicillin and all other β-lactam antibiotics, and describe a novel mechanism of inducible carbapenem resistance associated with the acquisition of a mobile resistance element. Methods Long-read whole-genome sequencing was performed using Pacific Biosciences Single Molecule Real-Time sequencing to determine the genome sequence of C. diphtheriae BQ11 and the mechanism of β-lactam resistance. To investigate the phenotypic inducibility of meropenem resistance, short-read sequencing was performed using an Illumina NextSeq500 sequencer on the strain both with and without exposure to meropenem. Results BQ11 demonstrated high-level resistance to penicillin (benzylpenicillin minimum inhibitory concentration [MIC] ≥ 256 μg/ml), β-lactam/β-lactamase inhibitors and cephalosporins (amoxicillin/clavulanic acid MIC ≥ 256 μg/mL; ceftriaxone MIC ≥ 8 μg/L). Genomic analysis of BQ11 identified acquisition of a novel transposon carrying the penicillin-binding protein (PBP) Pbp2c, responsible for resistance to penicillin and cephalosporins. When strain BQ11 was exposed to meropenem, selective pressure drove amplification of the transposon in a tandem array and led to a corresponding change from a low-level to a high-level meropenem-resistant phenotype. Conclusions We have identified a novel mechanism of inducible antibiotic resistance whereby isolates that appear to be carbapenem susceptible on initial testing can develop in vivo resistance to carbapenems with repeated exposure. This phenomenon could have significant implications for the treatment of C. diphtheriae infection, and may lead to clinical failure.

scholarly journals Long-range single-molecule mapping of chromatin modification in eukaryotes

2021 ◽  
Author(s):  
Zhe Weng ◽  
Fengying Ruan ◽  
Weitian Chen ◽  
Zhe Xie ◽  
Yeming Xie ◽  
...  
Keyword(s):  
Histone Modification ◽  
Long Range ◽  
Single Molecule ◽  
Protein A ◽  
Chromatin Modification ◽  
Protein Binding Sites ◽  
Short Read Sequencing ◽  
Third Generation Sequencing ◽  
Long Read ◽  
Generation Sequencing

The epigenetic modifications of histones are essential marks related to the development and disease pathogenesis, including human cancers. Mapping histone modification has emerged as the widely used tool for studying epigenetic regulation. However, existing approaches limited by fragmentation and short-read sequencing cannot provide information about the long-range chromatin states and represent the average chromatin status in samples. We leveraged the advantage of long read sequencing to develop a method "BIND&MODIFY" for profiling the histone modification of individual DNA fiber. Our approach is based on the recombinant fused protein A-EcoGII, which tethers the methyltransferase EcoGII to the protein binding sites and locally labels the neighboring DNA regions through artificial methylations. We demonstrate that the aggregated BIND&MODIFY signal matches the bulk-level ChIP-seq and CUT&TAG, observe the single-molecule heterogenous histone modification status, and quantify the correlation between distal elements. This method could be an essential tool in the future third-generation sequencing ages.

Sign in / Sign up

Export Citation Format

Share Document