scholarly journals MtExpress, a Comprehensive and Curated RNAseq-based Gene Expression Atlas for the Model Legume Medicago truncatula

2021 ◽  
Author(s):  
Sebastien Carrere ◽  
Jerome Verdier ◽  
Pascal Gamas
Keyword(s):  
Gene Expression ◽  
Medicago Truncatula ◽  
Orthologous Gene ◽  
Model Legume ◽  
Fully Integrated ◽  
Gene Expression Atlas ◽  
Rnaseq Data ◽  
Wide Range ◽  
Expression Atlas ◽  
Gene Study

Although RNA sequencing has been becoming the main transcriptomic approach in the model legume Medicago truncatula, there is currently no genome-wide gene expression atlas covering the whole set of RNAseq data published for this species. Nowadays, such tool is highly valuable to provide a global view of gene expression in a wide range of conditions and tissues/organs. Here, we present MtExpress, a gene expression atlas that compiles an exhaustive set of published M. truncatula RNAseq data (https://medicago.toulouse.inrae.fr/MtExpress). MtExpress makes use of recent releases of M. truncatula genome sequence and annotation, as well as up-to-date tools to perform mapping, quality control, statistical analysis and normalization of RNAseq data. MtExpress combines semi-automated pipelines with manual re-labelling and organization of samples, to produce an attractive and user-friendly interface, fully integrated with other available Medicago genomic resources. Importantly, MtExpress is highly flexible, in terms of both queries, e.g. allowing searches with gene names and orthologous gene IDs from Arabidopsis and other legume species, and outputs, to customize visualization and redirect gene study to relevant Medicago webservers. Thanks to its semi-automated pipeline, MtExpress will be frequently updated to follow the rapid pace of M. truncatula RNAseq data publications, as well as the constant improvement of genome annotation.

scholarly journals MtExpress, a Comprehensive and Curated RNAseq-based Gene Expression Atlas for the Model Legume Medicago truncatula

2021 ◽  
Author(s):  
Sebastien Carrere ◽  
Jerome Verdier ◽  
Pascal Gamas
Keyword(s):  
Gene Expression ◽  
Medicago Truncatula ◽  
Orthologous Gene ◽  
Model Legume ◽  
Fully Integrated ◽  
Gene Expression Atlas ◽  
Rnaseq Data ◽  
Wide Range ◽  
Complementary Resource ◽  
Expression Atlas

Abstract Although RNA sequencing has been becoming the main transcriptomic approach in the model legume Medicago truncatula, there is currently no genome-wide gene expression atlas covering the whole set of RNAseq data published for this species. Nowadays, such tool is highly valuable to provide a global view of gene expression in a wide range of conditions and tissues/organs. Here, we present MtExpress, a gene expression atlas that compiles an exhaustive set of published M. truncatula RNAseq data (https://medicago.toulouse.inrae.fr/MtExpress). MtExpress makes use of recent releases of M. truncatula genome sequence and annotation, as well as up-to-date tools to perform mapping, quality control, statistical analysis and normalization of RNAseq data. MtExpress combines semi-automated pipelines with manual re-labelling and organization of samples, to produce an attractive and user-friendly interface, fully integrated with other available Medicago genomic resources. Importantly, MtExpress is highly flexible, in terms of both queries, e.g. allowing searches with gene names and orthologous gene IDs from Arabidopsis and other legume species, and outputs, to customize visualization and redirect gene study to relevant Medicago webservers. Thanks to its semi-automated pipeline, MtExpress will be frequently updated to follow the rapid pace of M. truncatula RNAseq data publications, as well as the constant improvement of genome annotation. MtExpress also hosts legacy GeneChip expression data originally stored in the Medicago Gene Expression Atlas (MtGEA), as a very valuable and complementary resource.

scholarly journals The Medicago truncatula gene expression atlas web server

2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Ji He ◽  
Vagner A Benedito ◽  
Mingyi Wang ◽  
Jeremy D Murray ◽  
Patrick X Zhao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Medicago Truncatula ◽  
Web Server ◽  
Gene Expression Atlas ◽  
Expression Atlas

An Organ-Wide Gene Expression Atlas of the Developing Human Heart

2018 ◽  
Author(s):  
Michaela Asp ◽  
Stefania Giacomello ◽  
Daniel Fürth ◽  
Johan Reimegård ◽  
Eva Wärdell ◽  
...  
Keyword(s):  
Gene Expression ◽  
Human Heart ◽  
Gene Expression Atlas ◽  
Expression Atlas

scholarly journals A gene expression atlas for different kinds of stress in the mouse brain

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Tiziano Flati ◽  
Silvia Gioiosa ◽  
Giovanni Chillemi ◽  
Andrea Mele ◽  
Alberto Oliverio ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coping With Stress ◽  
Gene Expression Atlas ◽  
Sequence Read Archive ◽  
Brain Transcriptome ◽  
Expression Atlas ◽  
Differential Gene ◽  
Stress Related Genes ◽  
Public Repositories ◽  
The Brain

AbstractStressful experiences are part of everyday life and animals have evolved physiological and behavioral responses aimed at coping with stress and maintaining homeostasis. However, repeated or intense stress can induce maladaptive reactions leading to behavioral disorders. Adaptations in the brain, mediated by changes in gene expression, have a crucial role in the stress response. Recent years have seen a tremendous increase in studies on the transcriptional effects of stress. The input raw data are freely available from public repositories and represent a wealth of information for further global and integrative retrospective analyses. We downloaded from the Sequence Read Archive 751 samples (SRA-experiments), from 18 independent BioProjects studying the effects of different stressors on the brain transcriptome in mice. We performed a massive bioinformatics re-analysis applying a single, standardized pipeline for computing differential gene expression. This data mining allowed the identification of novel candidate stress-related genes and specific signatures associated with different stress conditions. The large amount of computational results produced was systematized in the interactive “Stress Mice Portal”.

scholarly journals A comprehensive RNA-Seq-based gene expression atlas of the summer squash (Cucurbita pepo) provides insights into fruit morphology and ripening mechanisms

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aliki Xanthopoulou ◽  
Javier Montero-Pau ◽  
Belén Picó ◽  
Panagiotis Boumpas ◽  
Eleni Tsaliki ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cucurbita Pepo ◽  
Developmental Stages ◽  
Lateral Roots ◽  
Expression Patterns ◽  
Male Flower ◽  
Differentially Expressed ◽  
Gene Expression Atlas ◽  
Summer Squash ◽  
Expression Atlas

Abstract Background Summer squash (Cucurbita pepo: Cucurbitaceae) are a popular horticultural crop for which there is insufficient genomic and transcriptomic information. Gene expression atlases are crucial for the identification of genes expressed in different tissues at various plant developmental stages. Here, we present the first comprehensive gene expression atlas for a summer squash cultivar, including transcripts obtained from seeds, shoots, leaf stem, young and developed leaves, male and female flowers, fruits of seven developmental stages, as well as primary and lateral roots. Results In total, 27,868 genes and 2352 novel transcripts were annotated from these 16 tissues, with over 18,000 genes common to all tissue groups. Of these, 3812 were identified as housekeeping genes, half of which assigned to known gene ontologies. Flowers, seeds, and young fruits had the largest number of specific genes, whilst intermediate-age fruits the fewest. There also were genes that were differentially expressed in the various tissues, the male flower being the tissue with the most differentially expressed genes in pair-wise comparisons with the remaining tissues, and the leaf stem the least. The largest expression change during fruit development was early on, from female flower to fruit two days after pollination. A weighted correlation network analysis performed on the global gene expression dataset assigned 25,413 genes to 24 coexpression groups, and some of these groups exhibited strong tissue specificity. Conclusions These findings enrich our understanding about the transcriptomic events associated with summer squash development and ripening. This comprehensive gene expression atlas is expected not only to provide a global view of gene expression patterns in all major tissues in C. pepo but to also serve as a valuable resource for functional genomics and gene discovery in Cucurbitaceae.

scholarly journals LeGOO: An Expertized Knowledge Database for the Model Legume Medicago truncatula

2019 ◽  
Vol 61 (1) ◽  
pp. 203-211 ◽  
Author(s):  
S�bastien Carr�re ◽  
Marion Verdenaud ◽  
Clare Gough ◽  
J�r�me Gouzy ◽  
Pascal Gamas
Keyword(s):  
Medicago Truncatula ◽  
Reverse Genetics ◽  
Arbuscular Mycorrhizal ◽  
Biological Information ◽  
Model Species ◽  
Model Legume ◽  
Wide Range ◽  
Legume Symbiosis ◽  
Symbiotic Nodule ◽  
Set Up

Abstract Medicago truncatula was proposed, about three decades ago, as a model legume to study the Rhizobium-legume symbiosis. It has now been adopted to study a wide range of biological questions, including various developmental processes (in particular root, symbiotic nodule and seed development), symbiotic (nitrogen-fixing and arbuscular mycorrhizal endosymbioses) and pathogenic interactions, as well as responses to abiotic stress. With a number of tools and resources set up in M. truncatula for omics, genetics and reverse genetics approaches, massive amounts of data have been produced, as well as four genome sequence releases. Many of these data were generated with heterogeneous tools, notably for transcriptomics studies, and are consequently difficult to integrate. This issue is addressed by the LeGOO (for Legume Graph-Oriented Organizer) knowledge base (https://www.legoo.org), which finds the correspondence between the multiple identifiers of the same gene. Furthermore, an important goal of LeGOO is to collect and represent biological information from peer-reviewed publications, whatever the technical approaches used to obtain this information. The information is modeled in a graph-oriented database, which enables flexible representation, with currently over 200,000 relations retrieved from 298 publications. LeGOO also provides the user with mining tools, including links to the Mt5.0 genome browser and associated information (on gene functional annotation, expression, methylome, natural diversity and available insertion mutants), as well as tools to navigate through different model species. LeGOO is, therefore, an innovative database that will be useful to the Medicago and legume community to better exploit the wealth of data produced on this model species.

Cloning, molecular characterization, and expression analysis of several red clover cDNAs

2006 ◽  
Vol 86 (2) ◽  
pp. 465-468
Author(s):  
Michael L. Sullivan ◽  
Sharon L. Thoma
Keyword(s):  
Medicago Truncatula ◽  
Expression Analysis ◽  
Binding Protein ◽  
Sequence Similarity ◽  
Expression Patterns ◽  
Molecular Genetic ◽  
Red Clover ◽  
Model Legume ◽  
Gene Set ◽  
Wide Range

To begin gathering information regarding nucleotide sequence similarity between red clover genes and other plant species, especially the model legume Medicago truncatula, several random red clover cDNAs were sequenced. The analyzed cDNAs included genes encoding actin; several proteins involved in photosynthesis including PsaH, PsbR, PsbX, early light-induced protein (ELIP), ferredoxin, chlorophyll a/b binding protein; fructose-bisphosphate aldolase;chloroplastic superoxide dismutase; and GTP-binding protein typA. The gene set had a median sequence identity of 92% with their counterparts from M. truncatula, suggesting its available genomics tools can be applied to red clover. An expression analysis of the gene set in various red clover tissues indicates the genes show a wide range of expression patterns. Consequently, this set of cDNAs and associated data are proving useful as controls in molecular genetic experiments involving red clover. Key words: Red clover, Trifolium pratense, Medicago truncatula, forage legume, genomics, inquiry-based learning

scholarly journals PEATmoss ( Physcomitrella Expression Atlas Tool): a unified gene expression atlas for the model plant Physcomitrella patens

2020 ◽  
Vol 102 (1) ◽  
pp. 165-177 ◽  
Author(s):  
Noe Fernandez‐Pozo ◽  
Fabian B. Haas ◽  
Rabea Meyberg ◽  
Kristian K. Ullrich ◽  
Manuel Hiss ◽  
...  
Keyword(s):  
Gene Expression ◽  
Physcomitrella Patens ◽  
Model Plant ◽  
Gene Expression Atlas ◽  
Expression Atlas
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