Literature DB >> 25641951

Systems biology of polycystic kidney disease: a critical review.

Luis Fernando Menezes1, Gregory G Germino.   

Abstract

The proliferation and diminishing costs of 'omics' approaches have finally opened the doors for small and medium laboratories to enter the 'systems biology era'. This is a welcome evolution that requires a new framework to design, interpret, and validate studies. Here, we highlight some of the challenges, contributions, and prospects of the 'cyst-ems biology' of polycystic kidney disease. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

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Year:  2015        PMID： 25641951      PMCID： PMC4339620          DOI： 10.1002/wsbm.1289

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN： 1939-005X


  56 in total

Review 1.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

2.  The ADPKD genes pkd1a/b and pkd2 regulate extracellular matrix formation.

Authors:  Steve Mangos; Pui-ying Lam; Angela Zhao; Yan Liu; Sudha Mudumana; Aleksandr Vasilyev; Aiping Liu; Iain A Drummond
Journal:  Dis Model Mech       Date:  2010-03-24       Impact factor: 5.758

3.  Loss of polycystin-1 or polycystin-2 results in dysregulated apolipoprotein expression in murine tissues via alterations in nuclear hormone receptors.

Authors:  Erica Allen; Klaus B Piontek; Elizabeth Garrett-Mayer; Miguel Garcia-Gonzalez; Kerry Lee Gorelick; Gregory G Germino
Journal:  Hum Mol Genet       Date:  2005-11-21       Impact factor: 6.150

4.  The molecular basis of focal cyst formation in human autosomal dominant polycystic kidney disease type I.

Authors:  F Qian; T J Watnick; L F Onuchic; G G Germino
Journal:  Cell       Date:  1996-12-13       Impact factor: 41.582

5.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

6.  A metabolomics approach using juvenile cystic mice to identify urinary biomarkers and altered pathways in polycystic kidney disease.

Authors:  Sandra L Taylor; Sheila Ganti; Nikolay O Bukanov; Arlene Chapman; Oliver Fiehn; Michael Osier; Kyoungmi Kim; Robert H Weiss
Journal:  Am J Physiol Renal Physiol       Date:  2010-02-03

7.  A critical developmental switch defines the kinetics of kidney cyst formation after loss of Pkd1.

Authors:  Klaus Piontek; Luis F Menezes; Miguel A Garcia-Gonzalez; David L Huso; Gregory G Germino
Journal:  Nat Med       Date:  2007-10-28       Impact factor: 53.440

8.  Urine proteome of autosomal dominant polycystic kidney disease patients.

Authors:  Magda Bakun; Mariusz Niemczyk; Dominik Domanski; Radek Jazwiec; Anna Perzanowska; Stanislaw Niemczyk; Michal Kistowski; Agnieszka Fabijanska; Agnieszka Borowiec; Leszek Paczek; Michal Dadlez
Journal:  Clin Proteomics       Date:  2012-12-11       Impact factor: 3.988

9.  Network analysis of a Pkd1-mouse model of autosomal dominant polycystic kidney disease identifies HNF4α as a disease modifier.

Authors:  Luis F Menezes; Fang Zhou; Andrew D Patterson; Klaus B Piontek; Kristopher W Krausz; Frank J Gonzalez; Gregory G Germino
Journal:  PLoS Genet       Date:  2012-11-29       Impact factor: 5.917

10.  Defective glucose metabolism in polycystic kidney disease identifies a new therapeutic strategy.

Authors:  Isaline Rowe; Marco Chiaravalli; Valeria Mannella; Valeria Ulisse; Giacomo Quilici; Monika Pema; Xuewen W Song; Hangxue Xu; Silvia Mari; Feng Qian; York Pei; Giovanna Musco; Alessandra Boletta
Journal:  Nat Med       Date:  2013-03-24       Impact factor: 53.440
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  7 in total

1.  Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease.

Authors:  Jihwan Park; Rojesh Shrestha; Chengxiang Qiu; Ayano Kondo; Shizheng Huang; Max Werth; Mingyao Li; Jonathan Barasch; Katalin Suszták
Journal:  Science       Date:  2018-04-05       Impact factor: 47.728

Review 2.  The tissue proteome in the multi-omic landscape of kidney disease.

Authors:  Markus M Rinschen; Julio Saez-Rodriguez
Journal:  Nat Rev Nephrol       Date:  2020-10-07       Impact factor: 28.314

3.  A Report of the 24th Annual Congress on Women's Health-Workshop on Transforming Women's Health: From Research to Practice.

Authors:  Jennifer L Plank-Bazinet; Annie Sampson; Susan G Kornstein; Gregory G Germino; Marjorie Robert-Guroff; Stephen E Gilman; Cora Lee Wetherington; Nakela Cook; Terri L Cornelison; Lisa Begg; Janine Austin Clayton
Journal:  J Womens Health (Larchmt)       Date:  2018-01       Impact factor: 2.681

Review 4.  Pathway identification through transcriptome analysis.

Authors:  Takeshi Terabayashi; Gregory G Germino; Luis F Menezes
Journal:  Cell Signal       Date:  2020-07-07       Impact factor: 4.850

5.  Transcriptome analysis reveals manifold mechanisms of cyst development in ADPKD.

Authors:  Rita M C de Almeida; Sherry G Clendenon; William G Richards; Michael Boedigheimer; Michael Damore; Sandro Rossetti; Peter C Harris; Britney-Shea Herbert; Wei Min Xu; Angela Wandinger-Ness; Heather H Ward; James A Glazier; Robert L Bacallao
Journal:  Hum Genomics       Date:  2016-11-21       Impact factor: 4.639

6.  Rapamycin treatment dose-dependently improves the cystic kidney in a new ADPKD mouse model via the mTORC1 and cell-cycle-associated CDK1/cyclin axis.

Authors:  Ao Li; Song Fan; Yuchen Xu; Jialin Meng; Xufeng Shen; Jun Mao; Li Zhang; Xiansheng Zhang; Gilbert Moeckel; Dianqing Wu; Guanqing Wu; Chaozhao Liang
Journal:  J Cell Mol Med       Date:  2017-02-28       Impact factor: 5.310

7.  Coregulation Analysis of Mechanistic Biomarkers in Autosomal Dominant Polycystic Kidney Disease.

Authors:  Johannes Leierer; Paul Perco; Benedikt Hofer; Susanne Eder; Alexander Dzien; Julia Kerschbaum; Michael Rudnicki; Gert Mayer
Journal:  Int J Mol Sci       Date:  2021-06-26       Impact factor: 5.923
  7 in total

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