Background: The genetic and molecular basis for many intermediate and end stage phenotypes in model systems such as C. elegans and D. melanogaster has long been known to involve pleiotropic effects and complex multigenic interactions. Gene sets are groups of genes that contribute to multiple biological or molecular phenomena. They have been used in the analysis of large molecular datasets such as microarray data, Next Generation sequencing, and other genomic datasets to reveal pleiotropic and multigenic contributions to phenotypic outcomes. Many model systems lack species specific organized phenotype based gene sets to enable high throughput analysis of large molecular datasets.
Results And Discussion: Here, we describe two novel collections of gene sets in C. elegans and D. melanogaster that are based exclusively on genetically determined phenotypes and use a controlled phenotypic ontology. We use these collections to build genome-wide models of thousands of defined phenotypes in both model species. In addition, we demonstrate the utility of these gene sets in systems analysis and in analysis of gene expression-based molecular datasets and show how they are useful in analysis of genomic datasets connecting multigenic gene inputs to complex phenotypes.
Conclusions: Phenotypic based gene sets in both C. elegans and D. melanogaster are developed, characterized, and shown to be useful in the analysis of large scale species-specific genomic datasets. These phenotypic gene set collections will contribute to the understanding of complex phenotypic outcomes in these model systems.
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http://dx.doi.org/10.1186/1471-2164-14-580 | DOI Listing |
Front Med (Lausanne)
January 2025
Department of Ophthalmology, Emory University, Atlanta, GA, United States.
Objective: Myopia prevalence is increasing at alarming rates, yet the underlying mechanistic causes are not understood. Several studies have employed experimental animal models of myopia and transcriptome profiling to identify genes and pathways contributing to myopia. In this study, we determined the retinal transcriptome changes in response to form deprivation in mouse retinas.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Biology Department, University of Massachusetts Amherst, Amherst, MA, USA.
Background: High-throughput behavioral analysis is important for drug discovery, toxicological studies, and the modeling of neurological disorders such as autism and epilepsy. Zebrafish embryos and larvae are ideal for such applications because they are spawned in large clutches, develop rapidly, feature a relatively simple nervous system, and have orthologs to many human disease genes. However, existing software for video-based behavioral analysis can be incompatible with recordings that contain dynamic backgrounds or foreign objects, lack support for multiwell formats, require expensive hardware, and/or demand considerable programming expertise.
View Article and Find Full Text PDFBackground And Aims: Alcoholic hepatitis (AH) and hepatocellular carcinoma (HCC) are common liver diseases. Chronic inflammation caused by AH can progress to alcoholic cirrhosis (AC) and eventually HCC.
Methods: This study sought to ascertain potential shared genes between AH and HCC through the utilization of multiple transcriptome databases.
Annu Rev Entomol
January 2025
Department of Entomology, China Agricultural University, Beijing, China; email:
Thanks to the fast development of sequencing techniques and bioinformatics tools, sequencing the genome of an insect species for specific research purposes has become an increasingly popular practice. Insect genomes not only provide sets of gene sequences but also represent a change in focus from reductionism to systemic biology in the field of entomology. Using insect genomes, researchers are able to identify and study the functions of all members of a gene family, pathway, or gene network associated with a trait of interest.
View Article and Find Full Text PDFRheumatology (Oxford)
January 2025
School of Management, Shanxi Medical University, Taiyuan, China.
Objectives: Rheumatoid arthritis (RA) is a chronic, destructive autoimmune disorder predominantly targeting the joints, with gut microbiota dysbiosis being intricately associated with its progression. The aim of the present study was to develop of effective early diagnostic methods for early RA based on gut microbiota.
Methods: A cohort comprising 262 RA patients and 475 healthy controls (HCs) was recruited.
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