scholarly journals NTRK fusion in Japanese colorectal adenocarcinomas

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuya Yamashiro ◽  
Taisei Kurihara ◽  
Takuo Hayashi ◽  
Yoshiyuki Suehara ◽  
Takashi Yao ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Japanese Patients ◽  
Nuclear Accumulation ◽  
High Status ◽  
Sequencing Analysis ◽  
Highly Sensitive ◽  
Next Generation Sequencing Analysis ◽  
Trk Inhibitors ◽  
Colorectal Adenocarcinomas ◽  
Generation Sequencing

AbstractNTRK fusion-positive tumors are known to be highly sensitive to TRK inhibitors, such as larotrectinib and entrectinib. Therefore, identification of patients who can potentially benefit from these inhibitors is important; however, the frequency of NTRK fusions in Japanese patients with colorectal cancer (CRC) is unknown. We performed pan-TRK staining using TMA-based immunohistochemistry (IHC) on samples from 971 consecutive Japanese CRC cases from a single institution. Positive cases were further analyzed using NanoString and subsequent targeted RNA sequencing. We found three positive cases using TRK-IHC. Furthermore, the Nanostring assay supported the presence of NTRK fusion in these cases. Subsequent targeted RNA-sequencing and RT-PCR revealed two cases with TPM3-NTRK1 and one with TPR-NTRK1. The TNM stages of these cases were stage I, stage IIA, and stage IIIB, and two showed microsatellite instability-high status. Next-generation sequencing analysis using Cancer hotspot panel revealed TP53 and SMAD4 mutations in separate cases. IHC of β-catenin did not show nuclear accumulation. We found three cases (0.31%) of CRC with NTRK1 fusion among 971 consecutive Japanese CRC cases. No potential driver alterations other than NTRK fusion were identified in these three patients.

Bartonella and Coxiella infections presenting as systemic vasculitis: case series and review of literature

Rheumatology ◽  
2021 ◽  
Author(s):  
Maxime Beydon ◽  
Christophe Rodriguez ◽  
Alexandre Karras ◽  
Alexandre Cez ◽  
Cédric Rafat ◽  
...  
Keyword(s):  
Literature Review ◽  
Systemic Vasculitis ◽  
Case Series ◽  
Sequencing Analysis ◽  
Bacterial Dna ◽  
Anca Associated Vasculitis ◽  
Comprehensive Literature Review ◽  
Highly Sensitive ◽  
Next Generation Sequencing Analysis ◽  
Generation Sequencing

Abstract Objectives Coxiella and Bartonella sp. display particular tropism for endothelial or endocardial tissues and an abnormal host response to infections with induced autoimmunity. We aimed, through a case series combined with a comprehensive literature review, to outline characteristics of Coxiella and Bartonella infections presenting as systemic vasculitis. Methods We retrospectively included cases of definite Coxiella and Bartonella infections presenting with vasculitis features and performed a comprehensive literature review. Results Six cases of Bartonella infections were added to 18 cases from literature review. Causative pathogens were mainly B. henselae. Bartonella infection mimicked anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis in 83% with PR3-ANCA and presented as cryoglobulinemic vasculitis in 8%. Glomerulonephritis was present in 92%, and 88% had endocarditis. Complement fractions were low in 82% and rheumatoid factor positive in 85%. Kidney biopsies showed cell proliferation, mostly crescentic, with pauci-immune glomerulonephritis in 29%. Outcome was favorable, with the use of antibiotics alone in one third. Five cases of Coxiella infections were added to 16 from literature review. Sixteen had small-vessel vasculitides, mainly cryoglobulinemia vasculitis in 75%. One patient had polyarteritis nodosa-like vasculitis and four large-vessel vasculitis. Outcome was good except for one death. A highly sensitive next generation sequencing analysis on 3 Coxiella and 2 Bartonella-related vasculitides biopsies did not find any bacterial DNA. Conclusion Coxiella and Bartonella are both able to induce vasculitis but display distinct vasculitis features. Bartonella mimics PR3-ANCA-associated vasculitis in the setting of endocarditis, whereas Coxiella may induce vasculitis involving all vessel sizes.

scholarly journals Next-Generation Sequencing Analysis of the Tineola bisselliella Larval Gut Transcriptome Reveals Candidate Enzymes for Keratin Digestion

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1113
Author(s):  
Michael Schwabe ◽  
Sven Griep ◽  
Henrike Schmidtberg ◽  
Rudy Plarre ◽  
Alexander Goesmann ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Disulfide Bonds ◽  
Differentially Expressed ◽  
Intestinal Microbiome ◽  
Sequencing Analysis ◽  
High Quality ◽  
Transcriptomic Data ◽  
Next Generation Sequencing Analysis ◽  
Generation Sequencing ◽  
Tineola Bisselliella

The clothes moth Tineola bisselliella is one of a few insects that can digest keratin, leading to the destruction of clothing, textiles and artwork. The mechanism of keratin digestion is not yet fully understood, partly reflecting the lack of publicly available genomic and transcriptomic data. Here we present a high-quality gut transcriptome of T. bisselliella generated from larvae reared on keratin-rich and keratin-free diets. The overall transcriptome consists of 428,221 contigs that were functionally annotated and screened for candidate enzymes involved in keratin utilization. As a mechanism for keratin digestion, we identified cysteine synthases, cystathionine β-synthases and cystathionine γ-lyases. These enzymes release hydrogen sulfite, which may reduce the disulfide bonds in keratin. The dataset also included 27 differentially expressed contigs with trypsin domains, among which 20 were associated with keratin feeding. Finally, we identified seven collagenases that were upregulated on the keratin-rich diet. In addition to this enzymatic repertoire potentially involved in breaking down keratin, our analysis of poly(A)-enriched and poly(A)-depleted transcripts suggested that T. bisselliella larvae possess an unstable intestinal microbiome that may nevertheless contribute to keratin digestion.

scholarly journals MicroRNAs from Snellenius manilae bracovirus regulate innate and cellular immune responses of its host Spodoptera litura

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Cheng-Kang Tang ◽  
Chih-Hsuan Tsai ◽  
Carol-P. Wu ◽  
Yu-Hsien Lin ◽  
Sung-Chan Wei ◽  
...  
Keyword(s):  
Immune Responses ◽  
Spodoptera Litura ◽  
Molecular Mechanisms ◽  
Innate Immune ◽  
Sequencing Analysis ◽  
Innate Immune Responses ◽  
Cellular Immune Responses ◽  
Next Generation Sequencing Analysis ◽  
Cellular Immune ◽  
Generation Sequencing

AbstractTo avoid inducing immune and physiological responses in insect hosts, parasitoid wasps have developed several mechanisms to inhibit them during parasitism, including the production of venom, specialized wasp cells, and symbioses with polydnaviruses (PDVs). These mechanisms alter the host physiology to give the wasp offspring a greater chance of survival. However, the molecular mechanisms for most of these alterations remain unclear. In the present study, we applied next-generation sequencing analysis and identified several miRNAs that were encoded in the genome of Snellenius manilae bracovirus (SmBV), and expressed in the host larvae, Spodoptera litura, during parasitism. Among these miRNAs, SmBV-miR-199b-5p and SmBV-miR-2989 were found to target domeless and toll-7 in the host, which are involved in the host innate immune responses. Microinjecting the inhibitors of these two miRNAs into parasitized S. litura larvae not only severely decreased the pupation rate of Snellenius manilae, but also restored the phagocytosis and encapsulation activity of the hemocytes. The results demonstrate that these two SmBV-encoded miRNAs play an important role in suppressing the immune responses of parasitized hosts. Overall, our study uncovers the functions of two SmBV-encoded miRNAs in regulating the host innate immune responses upon wasp parasitism.

scholarly journals Diagnosis of Severe Tetanus Assisted by Next-Generation Sequencing Analysis of Etiology: A Case Report

2020 ◽  
Author(s):  
Yuling An ◽  
Mingming Fan ◽  
Ziyu Li ◽  
You Peng ◽  
Xiaomeng Yi ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Comprehensive Treatment ◽  
Sequencing Analysis ◽  
Next Generation ◽  
Next Generation Sequencing Analysis ◽  
Autonomic Instability ◽  
The Right ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing ◽  
Severe Tetanus

Abstract We shared our successful treatment experience of a severe tetanus patient in China. A 50 year old male patient was admitted to our hospital 10 days after the right arm injury due to pain and masticatory weakness. The pathogen of wound secretion was confirmed to be clostridium tetanus by next-generation sequencing (NGS).The patient's condition rapidly progressed to a severe state with autonomic instability. After debridement and comprehensive treatment in ICU, including deep analgesia and sedation with dexmedetomidine, ventilator support and anti-infection treatment, the patient finally recovered and discharged. This case suggested that early diagnosis and reasonable intervention of severe tetanus could reduce mortality.

scholarly journals ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 50 ◽  
Author(s):  
Michael T. Wolfinger ◽  
Jörg Fallmann ◽  
Florian Eggenhofer ◽  
Fabian Amman
Keyword(s):  
Next Generation Sequencing ◽  
Sequence Motif ◽  
Software Components ◽  
Sequencing Analysis ◽  
Next Generation ◽  
File Formats ◽  
Next Generation Sequencing Analysis ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

Recent achievements in next-generation sequencing (NGS) technologies lead to a high demand for reuseable software components to easily compile customized analysis workflows for big genomics data. We present ViennaNGS, an integrated collection of Perl modules focused on building efficient pipelines for NGS data processing. It comes with functionality for extracting and converting features from common NGS file formats, computation and evaluation of read mapping statistics, as well as normalization of RNA abundance. Moreover, ViennaNGS provides software components for identification and characterization of splice junctions from RNA-seq data, parsing and condensing sequence motif data, automated construction of Assembly and Track Hubs for the UCSC genome browser, as well as wrapper routines for a set of commonly used NGS command line tools.

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