Dataset Information

Identification and analysis of the tegumental protein and excretory-secretory products of the carcinogenic liver fluke Clonorchis sinensis

ABSTRACT: The adult C. sinensis 6h culture supernatants containing the ES were harvested and concentrated. The tegument isolated using a freeze/thaw method, extraction with succession extracted buffers. The outer surface proteins of C. sinensis were labeled with biotin, and the biotinylated proteins were purified. The ES, tegumental protein and outer surface labeling protein were identified and analysis by high-resolution LC-MS/MS.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Rattus Norvegicus (rat) Clonorchis Sinensis

TISSUE(S): Hepatocyte, Liver

SUBMITTER: yunliang shi

LAB HEAD: yunliang shi

PROVIDER: PXD019116 | Pride | 2021-09-09

REPOSITORIES: Pride

ACCESS DATA

Publications

Identification and Analysis of the Tegument Protein and Excretory-Secretory Products of the Carcinogenic Liver Fluke Clonorchis sinensis.

Shi Yunliang Y Yu Kai K Liang Anli A Huang Yan Y Ou Fangqi F Wei Haiyan H Wan Xiaoling X Yang Yichao Y Zhang Weiyu W Jiang Zhihua Z

Frontiers in microbiology 20200923

Liver fluke proteins, including excretory-secretory products (ESPs) and tegument proteins, are critical for the pathogenesis, nutrient metabolism, etiology and immune response of liver cancer. To understand the functions of various proteins in Clonorchis sinensis physiology and human clonorchiasis, the ESPs and tegument proteins of C. sinensis were identified. Supernatants containing ESPs from adult C. sinensis after culture for 6 h were harvested and concentrated. The tegum ...[more]

PMID: 33072014

Similar Datasets

Project description:Clonorchis sinensis is a zoonotic parasite causing clonorchiasis associated with human diseases such as biliary calculi, cholecystitis, liver cirrhosis, and is classified as carcinogenic to humans for cholangiocarcinoma. MicroRNAs (miRNAs) are non-coding, regulating small RNA molecules essential for the complex life cycle of parasites and involved in parasitic infections. To identify and characterize miRNAs expressed in adult C. sinensis residing chronically in the biliary tract, we developed an integrative approach combining deep sequencing, bioinformatic predictions with stem-loop real-time PCR analysis. Here we report the use of this approach to identify and clone 6 new and 62,512 conserved C. sinensis miRNAs which belong to 284 families. There is strong bias on families, family members and sequence nucleotides in C. sinensis. Uracil is the dominant nucleotide, particularly at positions 1, 14 and 22, which were located approximately at the beginning, middle and the end of conserved miRNAs. There is no significant M-bM-^@M-^\seed regionM-bM-^@M-^] at the first and ninth positions commonly found in human, animals and plants. Categorization of conserved miRNAs indicated that miRNAs of C. sinensis are still innovated and concentrated along three branches of the phylogenetic tree leading to bilaterians, insects and coelomates. There are two miRNA strategies in C. sinensis for its parasitic life: keeping a large category of miRNA families of different animals and keeping a stringent conserved seed region with high active innovation in other place of miRNA mainly in the middle and the end, which are perfect for the parasite to perform its complex life style and for host changes. The present study represents the first large scale characterization of C. sinensis miRNAs, which have implications for understanding the complex biology of this zoonotic parasite, as well as the miRNA studies of other related species such as Opisthorchis felineus and O. viverrini of human and animal health significance. Analysis of miRNA profile in parasite of C. sinensis

Project description:Clonorchis sinensis is a zoonotic parasite causing clonorchiasis associated with human diseases such as biliary calculi, cholecystitis, liver cirrhosis, and is classified as carcinogenic to humans for cholangiocarcinoma. MicroRNAs (miRNAs) are non-coding, regulating small RNA molecules essential for the complex life cycle of parasites and involved in parasitic infections. To identify and characterize miRNAs expressed in adult C. sinensis residing chronically in the biliary tract, we developed an integrative approach combining deep sequencing, bioinformatic predictions with stem-loop real-time PCR analysis. Here we report the use of this approach to identify and clone 6 new and 62,512 conserved C. sinensis miRNAs which belong to 284 families. There is strong bias on families, family members and sequence nucleotides in C. sinensis. Uracil is the dominant nucleotide, particularly at positions 1, 14 and 22, which were located approximately at the beginning, middle and the end of conserved miRNAs. There is no significant “seed region” at the first and ninth positions commonly found in human, animals and plants. Categorization of conserved miRNAs indicated that miRNAs of C. sinensis are still innovated and concentrated along three branches of the phylogenetic tree leading to bilaterians, insects and coelomates. There are two miRNA strategies in C. sinensis for its parasitic life: keeping a large category of miRNA families of different animals and keeping a stringent conserved seed region with high active innovation in other place of miRNA mainly in the middle and the end, which are perfect for the parasite to perform its complex life style and for host changes. The present study represents the first large scale characterization of C. sinensis miRNAs, which have implications for understanding the complex biology of this zoonotic parasite, as well as the miRNA studies of other related species such as Opisthorchis felineus and O. viverrini of human and animal health significance.

Dataset Information

Identification and analysis of the tegumental protein and excretory-secretory products of the carcinogenic liver fluke Clonorchis sinensis

Publications

Identification and Analysis of the Tegument Protein and Excretory-Secretory Products of the Carcinogenic Liver Fluke <i>Clonorchis sinensis</i>.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure