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Model organism

About: Model organism is a research topic. Over the lifetime, 1077 publications have been published within this topic receiving 44852 citations. The topic is also known as: model organisms & model system.


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Journal ArticleDOI
18 Oct 2018-Nature
TL;DR: A compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues is presented, representing a new resource for cell biology and enabling the direct and controlled comparison of gene expression in cell types that are shared between tissues.
Abstract: Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations and enable the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3'-end counting, enabled the survey of thousands of cells at relatively low coverage, whereas the other, full-length transcript analysis based on fluorescence-activated cell sorting, enabled the characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.

1,757 citations

Journal ArticleDOI
TL;DR: The current knowledge of the human ABC genes, their role in inherited disease, and understanding of the topology of these genes within the membrane are reviewed.
Abstract: The ATP-binding cassette (ABC) transporter superfamily contains membrane proteins that translocate a variety of substrates across extra- and intra-cellular membranes. Genetic variation in these genes is the cause of or contributor to a wide variety of human disorders with Mendelian and complex inheritance, including cystic fibrosis, neurological disease, retinal degeneration, cholesterol and bile transport defects, anemia, and drug response. Conservation of the ATP-binding domains of these genes has allowed the identification of new members of the superfamily based on nucleotide and protein sequence homology. Phylogenetic analysis is used to divide all 48 known ABC transporters into seven distinct subfamilies of proteins. For each gene, the precise map location on human chromosomes, expression data, and localization within the superfamily has been determined. These data allow predictions to be made as to potential functions or disease phenotypes associated with each protein. In this paper, we review the current state of knowledge on all human ABC genes in inherited disease and drug resistance. In addition, the availability of the complete Drosophila genome sequence allows the comparison of the known human ABC genes with those in the fly genome. The combined data enable an evolutionary analysis of the superfamily. Complete characterization of all ABC from the human genome and from model organisms will lead to important insights into the physiology and the molecular basis of many human disorders.

1,751 citations

Journal ArticleDOI
09 Nov 2000-Nature
TL;DR: Genetic studies in genetically tractable model organisms established that ageing is indeed regulated by specific genes, and allowed an analysis of the pathways involved, linking physiology, signal transduction and gene regulation.
Abstract: Searches for genes involved in the ageing process have been made in genetically tractable model organisms such as yeast, the nematode Caenorhabditis elegans, Drosophila melanogaster fruitflies and mice. These genetic studies have established that ageing is indeed regulated by specific genes, and have allowed an analysis of the pathways involved, linking physiology, signal transduction and gene regulation. Intriguing similarities in the phenotypes of many of these mutants indicate that the mutations may also perturb regulatory systems that control ageing in higher organisms.

1,306 citations

20 Nov 2014
TL;DR: The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways.
Abstract: © 2014 Macmillan Publishers Limited. All rights reserved.The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain

1,020 citations

Journal ArticleDOI
TL;DR: A systematic analysis of 929 human disease gene entries associated with at least one mutant allele in the Online Mendelian Inheritance in Man (OMIM) database against the recently completed genome sequence of Drosophila melanogaster identified 714 distinct human disease genes matching 548 unique Dosophila sequences.
Abstract: We performed a systematic BLAST analysis of 929 human disease gene entries associated with at least one mutant allele in the Online Mendelian Inheritance in Man (OMIM) database against the recently completed genome sequence of Drosophila melanogaster The results of this search have been formatted as an updateable and searchable on-line database called Homophila Our analysis identified 714 distinct human disease genes (77% of disease genes searched) matching 548 unique Drosophila sequences, which we have summarized by disease category This breakdown into disease classes creates a picture of disease genes that are amenable to study using Drosophila as the model organism Of the 548 Drosophila genes related to human disease genes, 153 are associated with known mutant alleles and 56 more are tagged by P-element insertions in or near the gene Examples of how to use the database to identify Drosophila genes related to human disease genes are presented We anticipate that cross-genomic analysis of human disease genes using the power of Drosophila second-site modifier screens will promote interaction between human and Drosophila research groups, accelerating the understanding of the pathogenesis of human genetic disease The Homophila database is available at http://homophilasdscedu

937 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023145
2022326
202171
202057
201974
201846