scholarly journals Meta-analysis of liver and heart transcriptomic data for functional annotation transfer in mammalian orthologs

2017 ◽  
Author(s):  
Pía Francesca Loren Reyes ◽  
Tom Michoel ◽  
Anagha Joshi ◽  
Guillaume Devailly
Keyword(s):  
Functional Annotation ◽  
Expression Profiles ◽  
Meta Analysis ◽  
Gene Families ◽  
Homologous Gene ◽  
Orthologous Genes ◽  
Transcriptomic Data ◽  
Genome Wide ◽  
Genome Wide Expression ◽  
Functional Orthologs

AbstractFunctional annotation transfer across multi-gene family orthologs can lead to functional misannotations. We hypothesised that co-expression network will help predict functional orthologs amongst complex homologous gene families. To explore the use of transcriptomic data available in public domain to identify functionally equivalent ones from all predicted orthologs, we collected genome wide expression data in mouse and rat liver from over 1500 experiments with varied treatments. We used a hyper-graph clustering method to identify clusters of orthologous genes co-expressed in both mouse and rat. We validated these clusters by analysing expression profiles in each species separately, and demonstrating a high overlap. We then focused on genes in 18 homology groups with one-to-many or many-to-many relationships between two species, to discriminate between functionally equivalent and non-equivalent orthologs. Finally, we further applied our method by collecting heart transcriptomic data (over 1400 experiments) in rat and mouse to validate the method in an independent tissue.

Genome-Wide Expression Profiles for Ischemic Stroke: A Meta-Analysis

2018 ◽  
Vol 27 (11) ◽  
pp. 3336-3341 ◽  
Author(s):  
Carlos E. Moreno-Ramírez ◽  
Eulogia Gutiérrez-Garzón ◽  
George E. Barreto ◽  
Diego A. Forero
Keyword(s):  
Ischemic Stroke ◽  
Expression Profiles ◽  
Meta Analysis ◽  
Genome Wide ◽  
Genome Wide Expression

FRI0309 The genome-wide expression of human osteoarthritic cartilage shows different GENE-expression profiles OA-related

2013 ◽  
Vol 71 (Suppl 3) ◽  
pp. 418.3-418
Author(s):  
J. Fernandez-Tajes ◽  
A. Soto-Hermida ◽  
M. Fernandez-Moreno ◽  
M.E. Vazquez-Mosquera ◽  
N. Oreiro ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Osteoarthritic Cartilage ◽  
Genome Wide ◽  
Genome Wide Expression

scholarly journals Genome-wide identification and analysis of the CNGC gene family in maize

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5816 ◽  
Author(s):  
Lidong Hao ◽  
Xiuli Qiao
Keyword(s):  
Gene Family ◽  
Expression Profiles ◽  
Gene Families ◽  
Regulatory Elements ◽  
Vital Role ◽  
Signal Pathways ◽  
Cis Acting ◽  
Genome Wide ◽  
Gramineous Plant ◽  
Gated Channel

As one of the non-selective cation channel gene families, the cyclic nucleotide-gated channel (CNGC) gene family plays a vital role in plant physiological processes that are related to signal pathways, plant development, and environmental stresses. However, genome-wide identification and analysis of the CNGC gene family in maize has not yet been undertaken. In the present study, twelve ZmCNGC genes were identified in the maize genome, which were unevenly distributed on chromosomes 1, 2, 4, 5, 6, 7, and 8. They were classified into five major groups: Groups I, II, III, IVa, and IVb. Phylogenetic analysis showed that gramineous plant CNGC genes expanded unequally during evolution. Group IV CNGC genes emerged first, whereas Groups I and II appeared later. Prediction analysis of cis-acting regulatory elements showed that 137 putative cis-elements were related to hormone-response, abiotic stress, and organ development. Furthermore, 120 protein pairs were predicted to interact with the 12 ZmCNGC proteins and other maize proteins. The expression profiles of the ZmCNGC genes were expressed in tissue-specific patterns. These results provide important information that will increase our understanding of the CNGC gene family in maize and other plants.

scholarly journals Meta-analysis of transcriptomic data reveals clusters of consistently deregulated gene and disease ontologies in Down syndrome

2021 ◽  
Vol 17 (9) ◽  
pp. e1009317
Author(s):  
Ilario De Toma ◽  
Cesar Sierra ◽  
Mara Dierssen
Keyword(s):  
Down Syndrome ◽  
Differential Expression ◽  
Web Application ◽  
Meta Analysis ◽  
Chromosome 21 ◽  
Complex Disorders ◽  
Transcriptomic Data ◽  
Genome Wide ◽  
A Genome ◽  
The Impact

Trisomy of human chromosome 21 (HSA21) causes Down syndrome (DS). The trisomy does not simply result in the upregulation of HSA21--encoded genes but also leads to a genome-wide transcriptomic deregulation, which affect differently each tissue and cell type as a result of epigenetic mechanisms and protein-protein interactions. We performed a meta-analysis integrating the differential expression (DE) analyses of all publicly available transcriptomic datasets, both in human and mouse, comparing trisomic and euploid transcriptomes from different sources. We integrated all these data in a “DS network”. We found that genome wide deregulation as a consequence of trisomy 21 is not arbitrary, but involves deregulation of specific molecular cascades in which both HSA21 genes and HSA21 interactors are more consistently deregulated compared to other genes. In fact, gene deregulation happens in “clusters”, so that groups from 2 to 13 genes are found consistently deregulated. Most of these events of “co-deregulation” involve genes belonging to the same GO category, and genes associated with the same disease class. The most consistent changes are enriched in interferon related categories and neutrophil activation, reinforcing the concept that DS is an inflammatory disease. Our results also suggest that the impact of the trisomy might diverge in each tissue due to the different gene set deregulation, even though the triplicated genes are the same. Our original method to integrate transcriptomic data confirmed not only the importance of known genes, such as SOD1, but also detected new ones that could be extremely useful for generating or confirming hypotheses and supporting new putative therapeutic candidates. We created “metaDEA” an R package that uses our method to integrate every kind of transcriptomic data and therefore could be used with other complex disorders, such as cancer. We also created a user-friendly web application to query Ensembl gene IDs and retrieve all the information of their differential expression across the datasets.

scholarly journals Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles

BMC Genomics ◽  
2015 ◽  
Vol 16 (Suppl 5) ◽  
pp. S3 ◽  
Author(s):  
Sara Aibar ◽  
Celia Fontanillo ◽  
Conrad Droste ◽  
Beatriz Roson-Burgo ◽  
Francisco J Campos-Laborie ◽  
...  
Keyword(s):  
Gene Networks ◽  
Expression Profiles ◽  
Genome Wide ◽  
Disease Subtypes ◽  
Genome Wide Expression

Genome-wide identification and expression analysis of the CaLAX and CaPIN gene families in pepper (Capsicum annuum L.) under various abiotic stresses and hormone treatments

Genome ◽  
2018 ◽  
Vol 61 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Chenghao Zhang ◽  
Wenqi Dong ◽  
Zong-an Huang ◽  
MyeongCheoul Cho ◽  
Qingcang Yu ◽  
...  
Keyword(s):  
Capsicum Annuum ◽  
Abiotic Stresses ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Families ◽  
Environmental Stresses ◽  
Transcriptional Level ◽  
Specific Expression ◽  
Capsicum Annuum L ◽  
Genome Wide

Auxin plays key roles in regulating plant growth and development as well as in response to environmental stresses. The intercellular transport of auxin is mediated by the following four gene families: ATP-binding cassette family B (ABCB), auxin resistant1/like aux1 (AUX/LAX), PIN-formed (PIN), and PIN-like (PILS). Here, the latest assembled pepper (Capsicum annuum L.) genome was used to characterise and analyse the CaLAX and CaPIN gene families. Genome-wide investigations into these families, including chromosomal distributions, phytogenic relationships, and intron/exon structures, were performed. In total, 4 CaLAX and 10 CaPIN genes were mapped to 10 chromosomes. Most of these genes exhibited varied tissue-specific expression patterns assessed by quantitative real-time PCR. The expression profiles of the CaLAX and CaPIN genes under various abiotic stresses (salt, drought, and cold), exogenous phytohormones (IAA, 6-BA, ABA, SA, and MeJA), and polar auxin transport inhibitor treatments were evaluated. Most CaLAX and CaPIN genes were altered by abiotic stress at the transcriptional level in both shoots and roots, and many CaLAX and CaPIN genes were regulated by exogenous phytohormones. Our study helps to identify candidate auxin transporter genes and to further analyse their biological functions in pepper development and in its adaptation to environmental stresses.

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