Literature DB >> 11592803

Heterozygosity: an expanding role in proteomics.

G D Vladutiu1.   

Abstract

The human genome sequence provides the framework for understanding the biology of human cell function. The next step is to intensify the investigation of protein function in the context of complex biological systems. Cellular functions are carried out by molecular complexes acting in concert rather than by single molecules or single reactions. Parallels have been drawn between scale-free nonbiologic networks and functionally interconnected metabolic pathways in the cell. Modeling of metabolic networks, in which functional modules or subnetworks represent individual related pathways, will lead to the prediction of protein function in the larger context of a complex system. Depending on the robustness of these metabolic networks, single-gene defects alone or in combination with other gene defects and the environment have the potential for invoking a spectrum of alterations in the integrity of a given network. The overall purpose of this review is to highlight the importance of simple heterozygosity for one pathogenic mutation or combinatorial heterozygosity for two or more mutations within or between individual genes in altering the stability of metabolic networks. Several forms of heterozygosity are considered, e.g., intra- and interallelic heterozygosity and double heterozygosity. The concepts of synergistic heterozygosity, loss of heterozygosity, and mitochondrial DNA heteroplasmy also are discussed in relation to the quantitative effects of coexisting mutations on the phenotypic expression of disease. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11592803     DOI: 10.1006/mgme.2001.3240

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  10 in total

1.  Clinical and Genomic Evaluation of 207 Genetic Myopathies in the Indian Subcontinent.

Authors:  Samya Chakravorty; Babi Ramesh Reddy Nallamilli; Satish Vasant Khadilkar; Madhu Bala Singla; Ashish Bhutada; Rashna Dastur; Pradnya Satish Gaitonde; Laura E Rufibach; Logan Gloster; Madhuri Hegde
Journal:  Front Neurol       Date:  2020-11-05       Impact factor: 4.086

2.  RADIOSENSITIVITY TO HIGH ENERGY IRON IONS IS INFLUENCED BY HETEROZYGOSITY for ATM, RAD9 and BRCA1.

Authors:  G Zhou; L B Smilenov; H B Lieberman; T Ludwig; E J Hall
Journal:  Adv Space Res       Date:  2010-09-01       Impact factor: 2.152

3.  Hemizygosity for Atm and Brca1 influence the balance between cell transformation and apoptosis.

Authors:  Fengtao Su; Lubomir B Smilenov; Thomas Ludwig; Libin Zhou; Jiayun Zhu; Guangming Zhou; Eric J Hall
Journal:  Radiat Oncol       Date:  2010-02-22       Impact factor: 3.481

4.  Mutation and biochemical analysis in carnitine palmitoyltransferase type II (CPT II) deficiency.

Authors:  S E Olpin; A Afifi; S Clark; N J Manning; J R Bonham; A Dalton; J V Leonard; J M Land; B S Andresen; A A Morris; F Muntoni; D Turnbull; M Pourfarzam; S Rahman; R J Pollitt
Journal:  J Inherit Metab Dis       Date:  2003       Impact factor: 4.982

Review 5.  Metabolism as a complex genetic trait, a systems biology approach: implications for inborn errors of metabolism and clinical diseases.

Authors:  Jerry Vockley
Journal:  J Inherit Metab Dis       Date:  2008-10-05       Impact factor: 4.982

Review 6.  Gene module level analysis: identification to networks and dynamics.

Authors:  Xuewei Wang; Ertugrul Dalkic; Ming Wu; Christina Chan
Journal:  Curr Opin Biotechnol       Date:  2008-09-03       Impact factor: 9.740

7.  Network clustering revealed the systemic alterations of mitochondrial protein expression.

Authors:  Jouhyun Jeon; Jae Hoon Jeong; Je-Hyun Baek; Hyun-Jung Koo; Wook-Ha Park; Jae-Seong Yang; Myeong-Hee Yu; Sanguk Kim; Youngmi Kim Pak
Journal:  PLoS Comput Biol       Date:  2011-06-30       Impact factor: 4.475

8.  Pathogenic and rare deleterious variants in multiple genes suggest oligogenic inheritance in recurrent exertional rhabdomyolysis.

Authors:  Nyamkhishig Sambuughin; Ognoon Mungunsukh; Mingqiang Ren; John F Capacchione; Iren Horkayne-Szakaly; Kevin Chuang; Sheila M Muldoon; Jonathan K Smith; Francis G O'Connor; Patricia A Deuster
Journal:  Mol Genet Metab Rep       Date:  2018-08-01

Review 9.  Pathophysiology of fatty acid oxidation disorders and resultant phenotypic variability.

Authors:  Simon E Olpin
Journal:  J Inherit Metab Dis       Date:  2013-05-15       Impact factor: 4.982

10.  Variants in the ethylmalonyl-CoA decarboxylase (ECHDC1) gene: a novel player in ethylmalonic aciduria?

Authors:  Sarah Fogh; Graziana Dipace; Anne Bie; Maria Veiga-da-Cunha; Jakob Hansen; Margrethe Kjeldsen; Signe Mosegaard; Antonia Ribes; Niels Gregersen; Lars Aagaard; Emile Van Schaftingen; Rikke K J Olsen
Journal:  J Inherit Metab Dis       Date:  2021-06-08       Impact factor: 4.982

  10 in total

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