Using FlyAtlas to identify better Drosophila melanogaster models of human disease

By Venkateswara R. Chintapalli, Jing Wang, J. Dow. Nature Genetics, 2007

1,555 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/33c881581616764aaf8d0f51dc8fbbb5824de055

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Citations in the corpus

FlyBase: a guided tour of highlighted features (2022, methodology): “2014), FlyAtlas microarray (Chintapalli et al. 2007; Leader et al. 2018), and the developmental proteome (Casas-Vila et al.”
A Protein Complex Network of Drosophila melanogaster (2011, neutral): “Similar results involving both expression profiling and absolute levels were obtained from analogous analysis of gene expression data from 26 Drosophila tissues in FlyAtlas (Chintapalli et al., 2007) (Figure S2).”
Fly Cell Atlas: a single-nucleus transcriptomic atlas of the adult fruit fly (2022, methodology): “Studies such as ModENCODE (8) and FlyAtlas (9) explored expression patterns in different tissues but lacked cell-type resolution.”
Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution (2008, neutral): “, 2000), fly (Chintapalli et al., 2007), mouse and human (Su et al.”
Insect Seminal Fluid Proteins: Identification and Function (2011, neutral): “46 (30, 130), 440 (153), 13a (160), 34a (104, 151) 138 (50), 8 (48),”
FlyAtlas 2: a new version of the Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data (2017, neutral): “For almost ten years the FlyAtlas database (1) and web application (2) (hereafter referred to as ‘FlyAtlas 1’) has provided research workers with information regarding the expression of genes in the tissues of Drosophila melanogaster, one of the most important model eukaryotic organisms.”
Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq (2013, positive): “We used the tissue-‐specific expression data from FlyAtlas (39) to define ubiquitously expressed housekeeping genes as all genes which are detectably expressed (i.”
Genomewide analysis of Drosophila circular RNAs reveals their structural and sequence properties and age-dependent neural accumulation (2014, positive): “Sets of genes were also analyzed for enrichment of FlyAtlas tissue-enriched genes (Chintapalli et al., 2007).”