Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data

2016 ◽  
Vol 12 (10) ◽  
pp. 3196-3208
Author(s):  
Nitesh Kumar Singh ◽  
Mathias Ernst ◽  
Volkmar Liebscher ◽  
Georg Fuellen ◽  
Leila Taher
Keyword(s):  
Gene Expression ◽  
High Throughput ◽  
Complex Function ◽  
Biological Functions ◽  
Annotation Data

We present an approach that integrates gene expression and biological annotation data to identify and describe the interactions between biological functions, processes and pathways that govern a phenotype of interest.

tiRNAs & tRFs Biogenesis and Regulation of Diseases: A Review

2019 ◽  
Vol 26 (31) ◽  
pp. 5849-5861 ◽  
Author(s):  
Pan Jiang ◽  
Feng Yan
Keyword(s):  
Gene Expression ◽  
Protein Synthesis ◽  
Metabolic Diseases ◽  
Viral Infections ◽  
Regulatory Mechanisms ◽  
Biological Functions ◽  
Reverse Transcriptases ◽  
Dna Damage Responses ◽  
Potential Applications ◽  
Viral Reverse Transcriptases

tiRNAs & tRFs are a class of small molecular noncoding tRNA derived from precise processing of mature or precursor tRNAs. Most tiRNAs & tRFs described originate from nucleus-encoded tRNAs, and only a few tiRNAs and tRFs have been reported. They have been suggested to play important roles in inhibiting protein synthesis, regulating gene expression, priming viral reverse transcriptases, and the modulation of DNA damage responses. However, the regulatory mechanisms and potential function of tiRNAs & tRFs remain poorly understood. This review aims to describe tiRNAs & tRFs, including their structure, biological functions and subcellular localization. The regulatory roles of tiRNAs & tRFs in translation, neurodegeneration, metabolic diseases, viral infections, and carcinogenesis are also discussed in detail. Finally, the potential applications of these noncoding tRNAs as biomarkers and gene regulators in different diseases is also highlighted.

scholarly journals Comprehensive high-throughput meta-analysis of differentially expressed microRNAs in transcriptomic datasets reveals significant disruption of MAPK/JNK signal transduction pathway in Adult T-cell leukemia/lymphoma

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Shahrzad Shadabi ◽  
Nargess Delrish ◽  
Mehdi Norouzi ◽  
Maryam Ehteshami ◽  
Fariba Habibian-Sezavar ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
T Cell ◽  
Network Analysis ◽  
High Throughput ◽  
Target Gene ◽  
Differentially Expressed ◽  
Cell Leukemia ◽  
Adult T Cell Leukemia ◽  
Healthy Donors

Abstract Background Human T-lymphotropic virus 1 (HTLV-1) infection may lead to the development of Adult T-cell leukemia/lymphoma (ATLL). To further elucidate the pathophysiology of this aggressive CD4+ T-cell malignancy, we have performed an integrated systems biology approach to analyze previous transcriptome datasets focusing on differentially expressed miRNAs (DEMs) in peripheral blood of ATLL patients. Methods Datasets GSE28626, GSE31629, GSE11577 were used to identify ATLL-specific DEM signatures. The target genes of each identified miRNA were obtained to construct a protein-protein interactions network using STRING database. The target gene hubs were subjected to further analysis to demonstrate significantly enriched gene ontology terms and signaling pathways. Quantitative reverse transcription Polymerase Chain Reaction (RTqPCR) was performed on major genes in certain pathways identified by network analysis to highlight gene expression alterations. Results High-throughput in silico analysis revealed 9 DEMs hsa-let-7a, hsa-let-7g, hsa-mir-181b, hsa-mir-26b, hsa-mir-30c, hsa-mir-186, hsa-mir-10a, hsa-mir-30b, and hsa-let-7f between ATLL patients and healthy donors. Further analysis revealed the first 5 of DEMs were directly associated with previously identified pathways in the pathogenesis of HTLV-1. Network analysis demonstrated the involvement of target gene hubs in several signaling cascades, mainly in the MAPK pathway. RT-qPCR on human ATLL samples showed significant upregulation of EVI1, MKP1, PTPRR, and JNK gene vs healthy donors in MAPK/JNK pathway. Discussion The results highlighted the functional impact of a subset dysregulated microRNAs in ATLL on cellular gene expression and signal transduction pathways. Further studies are needed to identify novel biomarkers to obtain a comprehensive mapping of deregulated biological pathways in ATLL.

scholarly journals Fast and Efficient 5′P Degradome Library Preparation for Analysis of Co-Translational Decay in Arabidopsis

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 466
Author(s):  
Marie-Christine Carpentier ◽  
Cécile Bousquet-Antonelli ◽  
Rémy Merret
Keyword(s):  
Gene Expression ◽  
Quality Control ◽  
Transcriptional Regulation ◽  
High Throughput ◽  
Library Preparation ◽  
Working Day ◽  
Set Up ◽  
Post Transcriptional Regulation ◽  
Commercial Kit

The recent development of high-throughput technologies based on RNA sequencing has allowed a better description of the role of post-transcriptional regulation in gene expression. In particular, the development of degradome approaches based on the capture of 5′monophosphate decay intermediates allows the discovery of a new decay pathway called co-translational mRNA decay. Thanks to these approaches, ribosome dynamics could now be revealed by analysis of 5′P reads accumulation. However, library preparation could be difficult to set-up for non-specialists. Here, we present a fast and efficient 5′P degradome library preparation for Arabidopsis samples. Our protocol was designed without commercial kit and gel purification and can be easily done in one working day. We demonstrated the robustness and the reproducibility of our protocol. Finally, we present the bioinformatic reads-outs necessary to assess library quality control.

scholarly journals Cellular Heterogeneity–Adjusted cLonal Methylation (CHALM) improves prediction of gene expression

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jianfeng Xu ◽  
Jiejun Shi ◽  
Xiaodong Cui ◽  
Ya Cui ◽  
Jingyi Jessica Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Cellular Heterogeneity ◽  
Biological Functions ◽  
Global Correlation ◽  
Differentially Methylated Genes ◽  
Promoter Dna Methylation ◽  
Functional Consequences ◽  
Promoter Dna ◽  
Underlying Mechanisms

AbstractPromoter DNA methylation is a well-established mechanism of transcription repression, though its global correlation with gene expression is weak. This weak correlation can be attributed to the failure of current methylation quantification methods to consider the heterogeneity among sequenced bulk cells. Here, we introduce Cell Heterogeneity–Adjusted cLonal Methylation (CHALM) as a methylation quantification method. CHALM improves understanding of the functional consequences of DNA methylation, including its correlations with gene expression and H3K4me3. When applied to different methylation datasets, the CHALM method enables detection of differentially methylated genes that exhibit distinct biological functions supporting underlying mechanisms.

scholarly journals High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Beth K. Neilsen ◽  
David L. Kelly ◽  
Binita Chakraborty ◽  
Hyun Seok Kim ◽  
Michael A. White ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Throughput ◽  
Sirna Screen

Co-expressional conservation in virulence and stress related genes of three Gammaproteobacterial species: Escherichia coli, Salmonella enterica and Pseudomonas aeruginosa

2015 ◽  
Vol 11 (11) ◽  
pp. 3137-3148
Author(s):  
Nazanin Hosseinkhan ◽  
Peyman Zarrineh ◽  
Hassan Rokni-Zadeh ◽  
Mohammad Reza Ashouri ◽  
Ali Masoudi-Nejad
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Pseudomonas Aeruginosa ◽  
Systems Biology ◽  
Gene Expression Data ◽  
High Throughput ◽  
Expression Data ◽  
P Gene ◽  
Stress Related Genes ◽  
High Throughput Gene Expression

Gene co-expression analysis is one of the main aspects of systems biology that uses high-throughput gene expression data.

scholarly journals High-Throughput Screening for CEBPD-Modulating Compounds in THP-1-Derived Reporter Macrophages Identifies Anti-Inflammatory HDAC and BET Inhibitors

2021 ◽  
Vol 22 (6) ◽  
pp. 3022
Author(s):  
Tatjana Ullmann ◽  
Sonja Luckhardt ◽  
Markus Wolf ◽  
Michael J. Parnham ◽  
Eduard Resch
Keyword(s):  
Gene Expression ◽  
Mrna Expression ◽  
High Throughput ◽  
Transcription Initiation ◽  
High Throughput Screening ◽  
Inflammatory Responses ◽  
Hdac Inhibitors ◽  
Screening Assay ◽  
Bet Inhibitors ◽  
Anti Inflammatory

This study aimed to identify alternative anti-inflammatory compounds that modulate the activity of a relevant transcription factor, CCAAT/enhancer binding protein delta (C/EBPδ). C/EBPδ is a master regulator of inflammatory responses in macrophages (Mϕ) and is mainly regulated at the level of CEBPD gene transcription initiation. To screen for CEBPD-modulating compounds, we generated a THP-1-derived reporter cell line stably expressing secreted alkaline phosphatase (SEAP) under control of the defined CEBPD promoter (CEBPD::SEAP). A high-throughput screening of LOPAC®1280 and ENZO®774 libraries on LPS- and IFN-γ-activated THP-1 reporter Mϕ identified four epigenetically active hits: two bromodomain and extraterminal domain (BET) inhibitors, I-BET151 and Ro 11-1464, as well as two histone deacetylase (HDAC) inhibitors, SAHA and TSA. All four hits markedly and reproducibly upregulated SEAP secretion and CEBPD::SEAP mRNA expression, confirming screening assay reliability. Whereas BET inhibitors also upregulated the mRNA expression of the endogenous CEBPD, HDAC inhibitors completely abolished it. All hits displayed anti-inflammatory activity through the suppression of IL-6 and CCL2 gene expression. However, I-BET151 and HDAC inhibitors simultaneously upregulated the mRNA expression of pro-inflammatory IL-1ß. The modulation of CEBPD gene expression shown in this study contributes to our understanding of inflammatory responses in Mϕ and may offer an approach to therapy for inflammation-driven disorders.

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