CiliaCarta: An integrated and validated compendium of ciliary genes.
Teunis J P van DamJulie KennedyRobin van der LeeErik de VriezeKirsten A WunderlichSuzanne RixGerard W DoughertyNils J LambacherChunmei LiVictor L JensenMichel R LerouxRim HjeijNicola HornYves TexierYasmin WissingerJeroen van ReeuwijkGabrielle WhewayBarbara KnappJan F ScheelBrunella FrancoDorus A MansErwin van WijkFrançois KépèsGisela G SlaatsGrischa ToedtHannie KremerHeymut OmranKatarzyna SzymanskaKonstantinos KoutroumpasMarius UeffingThanh-Minh T NguyenStef J F LetteboerMachteld M OudSylvia E C van BeersumMiriam SchmidtsPhilip L BealesQianhao LuRachel H GilesRadek SzklarczykRobert B RussellToby J GibsonColin A JohnsonOliver E BlacqueUwe WolfrumKarsten BoldtRonald RoepmanVictor HernandezMartijn A HuynenPublished in: PloS one (2019)
The cilium is an essential organelle at the surface of mammalian cells whose dysfunction causes a wide range of genetic diseases collectively called ciliopathies. The current rate at which new ciliopathy genes are identified suggests that many ciliary components remain undiscovered. We generated and rigorously analyzed genomic, proteomic, transcriptomic and evolutionary data and systematically integrated these using Bayesian statistics into a predictive score for ciliary function. This resulted in 285 candidate ciliary genes. We generated independent experimental evidence of ciliary associations for 24 out of 36 analyzed candidate proteins using multiple cell and animal model systems (mouse, zebrafish and nematode) and techniques. For example, we show that OSCP1, which has previously been implicated in two distinct non-ciliary processes, causes ciliogenic and ciliopathy-associated tissue phenotypes when depleted in zebrafish. The candidate list forms the basis of CiliaCarta, a comprehensive ciliary compendium covering 956 genes. The resource can be used to objectively prioritize candidate genes in whole exome or genome sequencing of ciliopathy patients and can be accessed at http://bioinformatics.bio.uu.nl/john/syscilia/ciliacarta/.
Keyphrases
- genome wide
- single cell
- copy number
- bioinformatics analysis
- end stage renal disease
- dna methylation
- genome wide identification
- chronic kidney disease
- ejection fraction
- physical activity
- machine learning
- stem cells
- newly diagnosed
- electronic health record
- cell therapy
- oxidative stress
- peritoneal dialysis
- big data
- data analysis
- patient reported outcomes
- bone marrow