Literature DB >> 31841396

Whole genome sequencing and novel candidate genes for CAKUT and altered nephrogenesis in the HSRA rat.

Kurt C Showmaker1, Meredith B Cobb1, Ashley C Johnson1, Wenyu Yang2, Michael R Garrett1,3.   

Abstract

The HSRA rat is a model of congenital abnormalities of the kidney and urogenital tract (CAKUT). Our laboratory has used this model to investigate the role of nephron number (functional unit of the kidney) in susceptibility to develop kidney disease as 50-75% offspring are born with a single kidney (HSRA-S), while 25-50% are born with two kidneys (HSRA-C). HSRA-S rats develop increased kidney injury and hypertension with age compared with nephrectomized two-kidney animals (HSRA-UNX), suggesting that even slight differences in nephron number can be an important driver in decline in kidney function. The HSRA rat was selected and inbred from a family of outbred heterogeneous stock (NIH-HS) rats that exhibited a high incidence of CAKUT. The HS model was originally developed from eight inbred strains (ACI, BN, BUF, F344, M520, MR, WKY, and WN). The genetic make-up of the HSRA is therefore a mosaic of these eight inbred strains. Interestingly, the ACI progenitor of the HS model exhibits CAKUT in 10-15% of offspring with the genetic cause being attributed to the presence of a long-term repeat (LTR) within exon 1 of the c-Kit gene. Our hypothesis is that the HSRA and ACI share this common genetic cause, but other alleles in the HSRA genome contribute to the increased penetrance of CAKUT (75% HSRA vs. 15% in ACI). To facilitate genetic studies and better characterize the model, we sequenced the whole genome of the HSRA to a depth of ~50×. A genome-wide variant analysis of high-impact variants identified a number of novel genes that could be linked to CAKUT in the HSRA model. In summary, the identification of new genes/modifiers that lead to CAKUT/loss of one kidney in the HSRA model will provide greater insight into association between kidney development and susceptibility to develop cardiovascular disease later in life.

Entities:  

Keywords:  genetics; kidney development; kidney disease; mitochondria; solitary kidney

Mesh:

Substances:

Year:  2019        PMID: 31841396      PMCID: PMC6985787          DOI: 10.1152/physiolgenomics.00112.2019

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  86 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 2.  The genetics and epigenetics of kidney development.

Authors:  Sanjeevkumar R Patel; Gregory R Dressler
Journal:  Semin Nephrol       Date:  2013-07       Impact factor: 5.299

3.  The extracellular domain of Notch2 increases its cell-surface abundance and ligand responsiveness during kidney development.

Authors:  Zhenyi Liu; Shuang Chen; Scott Boyle; Yu Zhu; Andrew Zhang; David R Piwnica-Worms; Ma Xenia G Ilagan; Raphael Kopan
Journal:  Dev Cell       Date:  2013-06-24       Impact factor: 12.270

Review 4.  Hox genes and kidney development.

Authors:  Deneen M Wellik
Journal:  Pediatr Nephrol       Date:  2011-05-08       Impact factor: 3.714

Review 5.  Nephron number, hypertension, and CKD: physiological and genetic insight from humans and animal models.

Authors:  Xuexiang Wang; Michael R Garrett
Journal:  Physiol Genomics       Date:  2017-01-27       Impact factor: 3.107

6.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

7.  Mitochondrial DNA haplogroups J and K are not protective for Parkinson's disease in the Australian community.

Authors:  Prachi Mehta; George D Mellick; Dominic B Rowe; Glenda M Halliday; Michael M Jones; Neil Manwaring; Himesha Vandebona; Peter A Silburn; Jie Jin Wang; Paul Mitchell; Carolyn M Sue
Journal:  Mov Disord       Date:  2009-01-30       Impact factor: 10.338

8.  Fine-mapping diabetes-related traits, including insulin resistance, in heterogeneous stock rats.

Authors:  Leah C Solberg Woods; Katie L Holl; Daniel Oreper; Yuying Xie; Shirng-Wern Tsaih; William Valdar
Journal:  Physiol Genomics       Date:  2012-09-04       Impact factor: 3.107

9.  InterPro in 2019: improving coverage, classification and access to protein sequence annotations.

Authors:  Alex L Mitchell; Teresa K Attwood; Patricia C Babbitt; Matthias Blum; Peer Bork; Alan Bridge; Shoshana D Brown; Hsin-Yu Chang; Sara El-Gebali; Matthew I Fraser; Julian Gough; David R Haft; Hongzhan Huang; Ivica Letunic; Rodrigo Lopez; Aurélien Luciani; Fabio Madeira; Aron Marchler-Bauer; Huaiyu Mi; Darren A Natale; Marco Necci; Gift Nuka; Christine Orengo; Arun P Pandurangan; Typhaine Paysan-Lafosse; Sebastien Pesseat; Simon C Potter; Matloob A Qureshi; Neil D Rawlings; Nicole Redaschi; Lorna J Richardson; Catherine Rivoire; Gustavo A Salazar; Amaia Sangrador-Vegas; Christian J A Sigrist; Ian Sillitoe; Granger G Sutton; Narmada Thanki; Paul D Thomas; Silvio C E Tosatto; Siew-Yit Yong; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  The Pfam protein families database in 2019.

Authors:  Sara El-Gebali; Jaina Mistry; Alex Bateman; Sean R Eddy; Aurélien Luciani; Simon C Potter; Matloob Qureshi; Lorna J Richardson; Gustavo A Salazar; Alfredo Smart; Erik L L Sonnhammer; Layla Hirsh; Lisanna Paladin; Damiano Piovesan; Silvio C E Tosatto; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

View more
  2 in total

1.  Nephron-deficient HSRA rats exhibit renal injury with age but have limited renal damage from streptozotocin-induced hyperglycemia.

Authors:  Meredith B Cobb; Wenjie Wu; Esinam M Attipoe; Ashley C Johnson; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2021-04-12

Review 2.  Genome-to-phenome research in rats: progress and perspectives.

Authors:  Amy L Zinski; Shane Carrion; Jennifer J Michal; Maria A Gartstein; Raymond M Quock; Jon F Davis; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.