scholarly journals Potential sperm contributions to the murine zygote predicted by in silico analysis

Reproduction ◽  
2017 ◽  
Vol 154 (6) ◽  
pp. 777-788 ◽  
Author(s):  
Panagiotis Ntostis ◽  
Deborah Carter ◽  
David Iles ◽  
John Huntriss ◽  
Maria Tzetis ◽  
...  
Keyword(s):  
In Silico ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Zygote Formation ◽  
Cleavage Stage ◽  
Protein Clearance ◽  
Gene Network Analysis ◽  
Downstream Processes ◽  
Post Transcriptional Regulation ◽  
Potential Interactions

Paternal contributions to the zygote are thought to extend beyond delivery of the genome and paternal RNAs have been linked to epigenetic transgenerational inheritance in different species. In addition, sperm–egg fusion activates several downstream processes that contribute to zygote formation, including PLC zeta-mediated egg activation and maternal RNA clearance. Since a third of the preimplantation developmental period in the mouse occurs prior to the first cleavage stage, there is ample time for paternal RNAs or their encoded proteins potentially to interact and participate in early zygotic activities. To investigate this possibility, a bespoke next-generation RNA sequencing pipeline was employed for the first time to characterise and compare transcripts obtained from isolated murine sperm, MII eggs and pre-cleavage stage zygotes. Gene network analysis was then employed to identify potential interactions between paternally and maternally derived factors during the murine egg-to-zygote transition involving RNA clearance, protein clearance and post-transcriptional regulation of gene expression. Ourin silicoapproach looked for factors in sperm, eggs and zygotes that could potentially interact co-operatively and synergistically during zygote formation. At least five sperm RNAs (Hdac11,Fbxo2,Map1lc3a,Pcbp4andZfp821) met these requirements for a paternal contribution, which with complementary maternal co-factors suggest a wider potential for extra-genomic paternal involvement in the developing zygote.

scholarly journals In Silico Analysis of Osa-miR164 Gene Family in Rice (Oryza Sativa)

2021 ◽  
Vol 37 (3) ◽  
Author(s):  
Vuong Quang Tien ◽  
Nguyen Huy Duong ◽  
Dao Trong Nhan ◽  
Phan Minh Vu ◽  
Do Thi Phuc
Keyword(s):  
Oryza Sativa ◽  
Expression Pattern ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Regulatory Elements ◽  
Stress Conditions ◽  
Gene Promoters ◽  
Non Coding Rna ◽  
Post Transcriptional Regulation

MicroRNA (miRNA) is a small non-coding RNA molecule containing about 22- 24 nucleotides, which functions in post-transcriptional regulation of gene expression. Previous reports have shown that miRNA plays an important role on the resistance ability of plants to adverse conditions. Rice (Oryza sativa) is a major food crop. Climate change makes the situation of salinity and drought in Vietnam worse, significantly affects rice cultivation area, leading to the decrease of the quantity and the quality of rice grains. In this research, we focused on miR164 family in rice. By using bioinformatics approach, we analyzed sequences of all osa-miR164 belonging to rice miR164 family, evaluated the expression profile of osa-miR164 under different stress conditions, predicted cis-regulatory elements on osa-miR164 gene promoters, and simultaneously predicted miR164-targeted genes and their expressions. The results showed the high conserve in mature osa-miR164 sequences but not in the precursor sequences, different expression pattern of osa-miR164 gene members under stress conditions and various cis-regulatory elements present in osa-miR164 gene promoters which may explain for diverse expression pattern of osa-miR164 genes. Some potential target genes of osa-miR164 were identified and their expressions under different stress conditions were analyzed.

scholarly journals A Cancer-Related microRNA Signature Shows Biomarker Utility in Multiple Myeloma

2021 ◽  
Vol 22 (23) ◽  
pp. 13144
Author(s):  
Aristea-Maria Papanota ◽  
Paraskevi Karousi ◽  
Christos K. Kontos ◽  
Pinelopi I. Artemaki ◽  
Christine-Ivy Liacos ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Plasma Cells ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Bone Lesions ◽  
Real Time Quantitative Pcr ◽  
Skeletal Related Events ◽  
Adapter Primer ◽  
Post Transcriptional Regulation

Multiple myeloma (MM) is the second most common hematological malignancy, arising from terminally differentiated B cells, namely plasma cells. miRNAs are small non-coding RNAs that participate in the post-transcriptional regulation of gene expression. In this study, we investigated the role of nine miRNAs in MM. CD138+ plasma cells were selected from bone marrow aspirates from MM and smoldering MM (sMM) patients. Total RNA was extracted and in vitro polyadenylated. Next, first-strand cDNA synthesis was performed using an oligo-dT–adapter primer. For the relative quantification of the investigated miRNAs, an in-house real-time quantitative PCR (qPCR) assay was developed. A functional in silico analysis of the miRNAs was also performed. miR-16-5p and miR-155-5p expression was significantly lower in the CD138+ plasma cells of MM patients than in those of sMM patients. Furthermore, lower levels of miR-15a-5p, miR-16-5p, and miR-222-3p were observed in the CD138+ plasma cells of MM patients with osteolytic bone lesions, compared to those without. miR-125b-5p was also overexpressed in the CD138+ plasma cells of MM patients with bone disease that presented with skeletal-related events (SREs). Furthermore, lower levels of miR-223-3p were associated with significantly worse overall survival in MM patients. In conclusion, we propose a miRNA signature with putative clinical utility in MM.

scholarly journals Pseudogene Transcripts in Head and Neck Cancer: Literature Review and In Silico Analysis

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1254
Author(s):  
Juliana Carron ◽  
Rafael Della Coletta ◽  
Gustavo Jacob Lourenço
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
In Silico ◽  
Cancer Biology ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Genetic Alterations ◽  
The Cancer Genome Atlas ◽  
Silico Analysis

Once considered nonfunctional, pseudogene transcripts are now known to provide valuable information for cancer susceptibility, including head and neck cancer (HNC), a serious health problem worldwide, with about 50% unimproved overall survival over the last decades. The present review focuses on the role of pseudogene transcripts involved in HNC risk and prognosis. We combined current literature and in silico analyses from The Cancer Genome Atlas (TCGA) database to identify the most deregulated pseudogene transcripts in HNC and their genetic variations. We then built a co-expression network and performed gene ontology enrichment analysis to better understand the pseudogenes’ interactions and pathways in HNC. In the literature, few pseudogenes have been studied in HNC. Our in silico analysis identified 370 pseudogene transcripts associated with HNC, where SPATA31D5P, HERC2P3, SPATA31C2, MAGEB6P1, SLC25A51P1, BAGE2, DNM1P47, SPATA31C1, ZNF733P and OR2W5 were found to be the most deregulated and presented several genetic alterations. NBPF25P, HSP90AB2P, ZNF658B and DPY19L2P3 pseudogenes were predicted to interact with 12 genes known to participate in HNC, DNM1P47 was predicted to interact with the TP53 gene, and HLA-H pseudogene was predicted to interact with HLA-A and HLA-B genes. The identified pseudogenes were associated with cancer biology pathways involving cell communication, response to stress, cell death, regulation of the immune system, regulation of gene expression, and Wnt signaling. Finally, we assessed the prognostic values of the pseudogenes with the Kaplan–Meier Plotter database, and found that expression of SPATA31D5P, SPATA31C2, BAGE2, SPATA31C1, ZNF733P and OR2W5 pseudogenes were associated with patients’ survival. Due to pseudogene transcripts’ potential for cancer diagnosis, progression, and as therapeutic targets, our study can guide new research to HNC understanding and development of new target therapies.

Databases and Tools for in silico Analysis of Regulation of Gene Expression

2005 ◽  
pp. 253-290 ◽  
Author(s):  
Alexander Kel ◽  
Olga Kel‐Margoulis ◽  
Jürgen Borlak ◽  
Dimitry Tchekmenev ◽  
Edgar Wingender
Keyword(s):  
Gene Expression ◽  
In Silico ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Silico Analysis

An in silico analysis of trypanosomatid RNA polymerases: insights into their unusual transcription

2005 ◽  
Vol 33 (6) ◽  
pp. 1435-1437 ◽  
Author(s):  
S. Kelly ◽  
B. Wickstead ◽  
K. Gull
Keyword(s):  
Rna Polymerase ◽  
In Silico ◽  
Leishmania Major ◽  
Regulation Of Gene Expression ◽  
In Silico Analysis ◽  
Pol Ii ◽  
African Trypanosomes ◽  
Pol I ◽  
Pol Iii ◽  
Silico Analysis

African trypanosomes employ both Pol I (RNA polymerase I) and Pol II to transcribe protein-coding genes in large polycistronic units of up to 50 genes. Subsequent processing produces mature capped mRNAs. Evidence suggests that regulation of gene expression is primarily exerted post-transcriptionally. Here, we use the recently completed genome sequences of three trypanosomatids, Trypanosoma brucei, Trypanosoma cruzi and Leishmania major, in an in silico analysis of their fundamental RNA polymerase complexes. The core complement of Pol II subunits, including those that are shared with Pol I and Pol III are present. However, both Pol I and Pol III complexes are missing members of the rpoE-rpoF subunit groups. Out of the five shared subunits, both RPB5 and RPB6 have two isoforms in the three trypanosomes. One represents the canonical polymerase subunit and the other differs by insertion or deletion of stretches of charged residues. We propose that these alternative isoforms function in distinct polymerase complexes, and may influence recruitment of the trypanosome RPB4–RPB7 heterodimer.

A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gallbladder Carcinoma ◽  
In Silico ◽  
In Silico Analysis ◽  
Transcriptomic Profile ◽  
Silico Analysis

Enalos Suite of Tools: Enhancing Cheminformatics and Nanoinfor - matics through KNIME

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki
Keyword(s):  
Data Analysis ◽  
Virtual Screening ◽  
In Silico ◽  
Model Development ◽  
In Silico Analysis ◽  
Material Design ◽  
Efficient Solutions ◽  
Biological Data ◽  
Cost Efficient ◽  
Silico Analysis

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.

The Role of microRNAs in the Viral Infections

2019 ◽  
Vol 24 (39) ◽  
pp. 4659-4667 ◽  
Author(s):  
Mona Fani ◽  
Milad Zandi ◽  
Majid Rezayi ◽  
Nastaran Khodadad ◽  
Hadis Langari ◽  
...  
Keyword(s):  
Viral Infections ◽  
Rna Viruses ◽  
Regulation Of Gene Expression ◽  
Molecular Structures ◽  
Main Function ◽  
Cellular Functions ◽  
Viral Genes ◽  
Non Coding Rnas ◽  
Post Transcriptional Regulation

MicroRNAs (miRNAs) are non-coding RNAs with 19 to 24 nucleotides which are evolutionally conserved. MicroRNAs play a regulatory role in many cellular functions such as immune mechanisms, apoptosis, and tumorigenesis. The main function of miRNAs is the post-transcriptional regulation of gene expression via mRNA degradation or inhibition of translation. In fact, many of them act as an oncogene or tumor suppressor. These molecular structures participate in many physiological and pathological processes of the cell. The virus can also produce them for developing its pathogenic processes. It was initially thought that viruses without nuclear replication cycle such as Poxviridae and RNA viruses can not code miRNA, but recently, it has been proven that RNA viruses can also produce miRNA. The aim of this articles is to describe viral miRNAs biogenesis and their effects on cellular and viral genes.

In Silico Study of 1, 4 Alpha Glucan Branching Enzyme and Substrate Docking Studies

2020 ◽  
Vol 17 (1) ◽  
pp. 40-50
Author(s):  
Farzane Kargar ◽  
Amir Savardashtaki ◽  
Mojtaba Mortazavi ◽  
Masoud Torkzadeh Mahani ◽  
Ali Mohammad Amani ◽  
...  
Keyword(s):  
Phylogenetic Tree ◽  
In Silico ◽  
Alpha Helix ◽  
In Silico Analysis ◽  
Glycogen Storage ◽  
Docking Studies ◽  
Random Coil ◽  
Special Topic ◽  
Industrial Biotechnology ◽  
In Silico Study

Background: The 1,4-alpha-glucan branching protein (GlgB) plays an important role in the glycogen biosynthesis and the deficiency in this enzyme has resulted in Glycogen storage disease and accumulation of an amylopectin-like polysaccharide. Consequently, this enzyme was considered a special topic in clinical and biotechnological research. One of the newly introduced GlgB belongs to the Neisseria sp. HMSC071A01 (Ref.Seq. WP_049335546). For in silico analysis, the 3D molecular modeling of this enzyme was conducted in the I-TASSER web server. Methods: For a better evaluation, the important characteristics of this enzyme such as functional properties, metabolic pathway and activity were investigated in the TargetP software. Additionally, the phylogenetic tree and secondary structure of this enzyme were studied by Mafft and Prabi software, respectively. Finally, the binding site properties (the maltoheptaose as substrate) were studied using the AutoDock Vina. Results: By drawing the phylogenetic tree, the closest species were the taxonomic group of Betaproteobacteria. The results showed that the structure of this enzyme had 34.45% of the alpha helix and 45.45% of the random coil. Our analysis predicted that this enzyme has a potential signal peptide in the protein sequence. Conclusion: By these analyses, a new understanding was developed related to the sequence and structure of this enzyme. Our findings can further be used in some fields of clinical and industrial biotechnology.

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