scholarly journals Screening and Identification of Ovulation-Inducing Regulatory Factors in Bactrian Camel

2021 ◽  
Author(s):  
Qi Wang ◽  
Quan wei Zhang ◽  
Ze Gan ◽  
Hai jiang Li ◽  
Yi na Li ◽  
...  
Keyword(s):  
Hormone Secretion ◽  
Reproductive Hormones ◽  
Immunofluorescence Staining ◽  
Bactrian Camel ◽  
Differentially Expressed ◽  
Ovary Development ◽  
Differentially Expressed Proteins ◽  
Induced Ovulation ◽  
Screening And Identification ◽  
Bactrian Camels

Abstract Background: Camelidae are inducing ovulators, ovulation is tightly regulated by multiple factors, and understanding the biological mechanisms underlying follicular development, hormone secretion and ovulation requires investigation of the potential molecular pathways. However, little is known about the pathways of these factors in the camel. To screening and identification candidate biomarkers after inducing ovulators in ovary.Methods: In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of ovarian before and after induced ovulation in Bactrian camels. The differentially expressed protein was validated by Western blot, qRT-PCR and Immunofluorescence staining analysis.Results: A total of 5,075 ovarian expressed proteins were detected, and 404 proteins were differentially expressed (264 up-regulated, 140 down-regulated) in samples from treated versus control camels. Gene ontology annotation identified potential functions of the differentially expressed proteins (DEPs). We validated the differential expression for a subset of these proteins using western blotting and immunofluorescence staining. Three DEPs (FST, NR5A1 and PRL) were involved in neurochemical signal transduction, endocrine and reproductive hormones regulatory processes. KEGG analysis indicated the involvement of several pathways, such as calcium, cAMP, gonadotropin-releasing hormone, MAPK, and neuroactive ligand-receptor signaling pathways, further suggesting that the induced ovulation process depends on the hypothalamic-pituitary-ovarian axis. Conclusions: This study is the first to perform quantitative proteomic investigation by iTRAQ labeling and LC-MS/MS to identify differentially expressed proteins induced ovulation in Bactrian camels. Our study has revealed distinct molecular functions and metabolic pathways that are active during reproduction in Bactrian camels. These results have demonstrated the pivotal role played by 3 DEPs in the modulation and activation of the reproductive axis during induced ovulation in the Bactrian camel, followed by the measurement of selected proteins using more targeted methods, offers a promising approach for studying potential mechanism of ovary development and ovulation.

scholarly journals Screening and Identification of Differential Ovarian Proteins before and after Induced Ovulation via Seminal Plasma in Bactrian Camels

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3512
Author(s):  
Qi Wang ◽  
Quanwei Zhang ◽  
Yina Li ◽  
Xingxu Zhao ◽  
Yong Zhang
Keyword(s):  
Hormone Secretion ◽  
Follicular Development ◽  
Differentially Expressed ◽  
Proteomic Profiling ◽  
Induced Ovulation ◽  
Regulatory Processes ◽  
Before And After ◽  
Screening And Identification ◽  
Bactrian Camels ◽  
Neurochemical Signal

Camelidae are induced ovulators whose ovulation is tightly regulated by multiple factors. Understanding the biological mechanisms underlying follicular development, hormone secretion, and ovulation requires investigating the potential molecular pathways involved. However, little is known about these pathways in Bactrian camels. To screen and identify candidate biomarkers after inducing ovulation, this study performed comprehensive proteomic and molecular biological analyses of the ovaries from two camel groups (n = 6). We identified 5075 expressed ovarian proteins, of which 404 were differentially expressed (264 upregulated, 140 downregulated) (p < 0.05 or p < 0.01), in samples from plasma-induced versus control camels. Gene ontology annotation identified the potential functions of the differentially expressed proteins (DEPs). These results validated the differential expression for a subset of these proteins using Western blot (p < 0.05) and immunofluorescence staining. Three DEPs (FST, NR5A1, and PRL) were involved in neurochemical signal transduction, as well as endocrine and reproductive hormone regulatory processes. The Kyoto Encyclopedia of Genes and Genomes analysis indicated the involvement of several pathways, including the calcium, cAMP, gonadotropin-releasing hormone, MAPK, and neuroactive ligand–receptor signaling pathways, suggesting that induced ovulation depends on the hypothalamic–pituitary–ovarian axis. Identifying these candidate biomarkers enables a better understanding of Bactrian camel reproduction. Ovarian proteomic profiling and the measurement of selected proteins using more targeted methods is a promising approach for studying induced-ovulation mechanisms.

Identification of differentially expressed proteins relating to ovary development in Portunus trituberculatus

Aquaculture ◽  
2014 ◽  
Vol 426-427 ◽  
pp. 148-153 ◽  
Author(s):  
Changkao Mu ◽  
Weiwei Song ◽  
Ronghua Li ◽  
Yiner Chen ◽  
Guijie Hao ◽  
...  
Keyword(s):  
Differentially Expressed ◽  
Portunus Trituberculatus ◽  
Ovary Development ◽  
Differentially Expressed Proteins

Mass Spectrometry-based Label-free Quantitative Proteomic Analysis of CCl4-induced Acute Liver Injury in Mice Intervened by Total Glycosides from Ligustri Lucidi Fructus

2020 ◽  
Vol 17 ◽  
Author(s):  
Qian Lu ◽  
Hai-Zhu Xing ◽  
Nian-Yun Yang
Keyword(s):  
Insulin Resistance ◽  
Liver Injury ◽  
Protein Expression ◽  
Signaling Pathway ◽  
Proteomic Analysis ◽  
Acute Liver Injury ◽  
Liver Cells ◽  
Differentially Expressed ◽  
Liver Protein ◽  
Differentially Expressed Proteins

Background: CCl4 acute liver injury (ALI) is a classical model for experimental research. However, there are few reports involved in the fundamental research of CCl4-induced ALI Ligustri Lucidi Fructus (LLF) are and its prescription have been used to treat hepatitis illness clinically. LLF and its active ingredients displayed anti-hepatitis effects, but the mechanism of function has not been fully clarified Objective: To investigate the proteomic analysis of CCl4-induced ALI, and examine the effects of active total glycosides (TG) from LLF on ALI of mice4, including histopathological survey and proteomic changes of liver tissues, and delineate the possible underlying mechanism. Methods: CCl4 was used to produce ALI mice model. The model mice were intragastrically administrated with TG and the liver his-topathological changes of mice were examined. At the end of test, mice liver samples were collected, after protein denaturation, re-duction, desalination and enzymatic hydrolysis, identification was carried out by nano LC-ESI-OrbiTrap MS/MS technology. The data was processed by Maxquant software. The differentially-expressed proteins were screened and identified, and their biological information was also analyzed based on GO and KEGG analysis. Key protein expression was validated by Western blot analysis Results: A total of 705 differentially-expressed proteins were identified during the normal, model and administration group. 9 signifi-cant differential proteins were focused based on analysis. Liver protein expression changes of CCl4-induced ALI mice were mainly involved in several important signal channels, namely FoxO signaling pathway, autophagy-animal, insulin signaling pathway. TG has anti-liver damnification effect in ALI mice, the mechanism of which is related to FoxO1 and autophagy pathways Conclusion: CCl4 inhibited expression of insulin-Like growth factor 1 (Igf1) and 3-phosphoinositide-dependent protein kinase 1 (Pdpk1) in liver cells and induced insulin resistance, thus interfered with mitochondrial autophagy and regeneration of liver cells and the metabolism of glucose and lipid, and caused hepatic necrosis in mice. TG resisted liver injury in mice. TG adjusted the expression level of key proteins Igf1 and Pdpk1 after liver injury and improved insulin resistance, thus promoted autophagy and resisted the liver damage

scholarly journals Differentially expressed proteins in platelets derived from patients with hypertension

2021 ◽  
Author(s):  
Yobana Armenta-Medina ◽  
Ivette Martínez-Vieyra ◽  
Oscar Medina-Contreras ◽  
Claudia G. Benitez-Cardoza ◽  
Albertana Jiménez-Pineda ◽  
...  
Keyword(s):  
Differentially Expressed ◽  
Differentially Expressed Proteins

scholarly journals Genome-wide transcriptome profiling uncovers differential miRNAs and lncRNAs in ovaries of Hu sheep at different developmental stages

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Samina Shabbir ◽  
Prerona Boruah ◽  
Lingli Xie ◽  
Muhammad Fakhar-e-Alam Kulyar ◽  
Mohsin Nawaz ◽  
...  
Keyword(s):  
Target Genes ◽  
Expression Profiles ◽  
Ovarian Follicle ◽  
Follicular Development ◽  
Differentially Expressed ◽  
Ovary Development ◽  
Estrogen Metabolism ◽  
Genome Wide ◽  
Micro Rnas ◽  
Hu Sheep

AbstractOvary development is an important determinant of the procreative capacity of female animals. Here, we performed genome-wide sequencing of long non-coding RNAs (lncRNAs) and mRNAs on ovaries of 1, 3 and 8 months old Hu sheep to assess their expression profiles and roles in ovarian development. We identified 37,309 lncRNAs, 45,404 messenger RNAs (mRNAs) and 330 novel micro RNAs (miRNAs) from the transcriptomic analysis. Six thousand, seven hundred and sixteen (6716) mRNAs and 1972 lncRNAs were significantly and differentially expressed in ovaries of 1 month and 3 months old Hu sheep (H1 vs H3). These mRNAs and target genes of lncRNAs were primarily enriched in the TGF-β and PI3K-Akt signalling pathways which are closely associated with ovarian follicular development and steroid hormone biosynthesis regulation. We identified MSTRG.162061.1, MSTRG.222844.7, MSTRG.335777.1, MSTRG.334059.16, MSTRG.188947.6 and MSTRG.24344.3 as vital genes in ovary development by regulating CTNNB1, CCNA2, CDK2, CDC20, CDK1 and EGFR expressions. A total of 2903 mRNAs and 636 lncRNAs were differentially expressed in 3 and 8 months old ovaries of Hu sheep (H3 vs H8); and were predominantly enriched in PI3K-Akt, progesterone-mediated oocyte maturation, estrogen metabolism, ovulation from the ovarian follicle and oogenesis pathways. These lncRNAs were also found to regulate FGF7, PRLR, PTK2, AMH and INHBA expressions during follicular development. Our result indicates the identified genes participate in the development of the final stages of follicles and ovary development in Hu sheep.

scholarly journals ITRAQ-based quantitative proteomic analysis of Fusarium moniliforme (Fusarium verticillioides) in response to Phloridzin inducers

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Rong Zhang ◽  
Weitao Jiang ◽  
Xin Liu ◽  
Yanan Duan ◽  
Li Xiang ◽  
...  
Keyword(s):  
Fusarium Moniliforme ◽  
Abiotic Factors ◽  
Fusarium Verticillioides ◽  
Protein Profile ◽  
Sugar Metabolism ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Differentially Expressed Proteins ◽  
Apple Replant Disease ◽  
Qrt Pcr

Abstract Background Apple replant disease (ARD) has been reported from all major fruit-growing regions of the world, and is often caused by biotic factors (pathogen fungi) and abiotic factors (phenolic compounds). In order to clarify the proteomic differences of Fusarium moniliforme under the action of phloridzin, and to explore the potential mechanism of F. moniliforme as the pathogen of ARD, the role of Fusarium spp. in ARD was further clarified. Methods In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of F. moniliforme before and after phloridzin treatment. The differentially expressed protein was validated by qRT-PCR analysis. Results A total of 4535 proteins were detected, and 293 proteins were found with more than 1.2 times (P< 0.05) differences. In-depth data analysis revealed that 59 proteins were found with more than 1.5 times (P< 0.05) differences, and most proteins were consistent with the result of qRT-PCR. Differentially expressed proteins were influenced a variety of cellular processes, particularly metabolic processes. Among these metabolic pathways, a total of 8 significantly enriched KEGG pathways were identified with at least 2 affiliated proteins with different abundance in conidia and mycelium. Functional pathway analysis indicated that up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways. Conclusions This study is the first to perform quantitative proteomic investigation by iTRAQ labeling and LC-MS/MS to identify differentially expressed proteins in F. moniliforme under phloridzin conditions. The results confirmed that F. moniliforme presented a unique protein profile that indicated the adaptive mechanisms of this species to phloridzin environments. The results deepened our understanding of the proteome in F. moniliforme in response to phloridzin inducers and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents to control ARD.

scholarly journals Label-free quantitative proteomic analysis of the inhibition effect of Lactobacillus rhamnosus GG on Escherichia coli biofilm formation in co-culture

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Huiyi Song ◽  
Ni Lou ◽  
Jianjun Liu ◽  
Hong Xiang ◽  
Dong Shang
Keyword(s):  
Escherichia Coli ◽  
Proteomic Analysis ◽  
Biofilm Formation ◽  
Lactobacillus Rhamnosus ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Label Free ◽  
Quantitative Proteomic Analysis ◽  
E Coli ◽  
Protein Ubiquitination

Abstract Background Escherichia coli (E. coli) is the principal pathogen that causes biofilm formation. Biofilms are associated with infectious diseases and antibiotic resistance. This study employed proteomic analysis to identify differentially expressed proteins after coculture of E. coli with Lactobacillus rhamnosus GG (LGG) microcapsules. Methods To explore the relevant protein abundance changes after E. coli and LGG coculture, label-free quantitative proteomic analysis and qRT-PCR were applied to E. coli and LGG microcapsule groups before and after coculture, respectively. Results The proteomic analysis characterised a total of 1655 proteins in E. coli K12MG1655 and 1431 proteins in the LGG. After coculture treatment, there were 262 differentially expressed proteins in E. coli and 291 in LGG. Gene ontology analysis showed that the differentially expressed proteins were mainly related to cellular metabolism, the stress response, transcription and the cell membrane. A protein interaction network and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis indicated that the differentiated proteins were mainly involved in the protein ubiquitination pathway and mitochondrial dysfunction. Conclusions These findings indicated that LGG microcapsules may inhibit E. coli biofilm formation by disrupting metabolic processes, particularly in relation to energy metabolism and stimulus responses, both of which are critical for the growth of LGG. Together, these findings increase our understanding of the interactions between bacteria under coculture conditions.

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