Virginia Kimonis

Dr. Virginia Kimonis

University of California, Irvine, Irvine, California, USA
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2008 in Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Verified
Journal Article
Closed access
VKVirginia Kimonis
Virginia Kimonis
EFErin Fulchiero
Erin Fulchiero
JVJouni Vesa
Jouni Vesa
GWGiles Watts
Giles Watts

7 February 2008 in American Journal of Medical Genetics Part A
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Journal Article
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PDF file
VKVirginia Kimonis
Virginia Kimonis
SMSarju G. Mehta
Sarju G. Mehta
EFErin C. Fulchiero
Erin C. Fulchiero
DTDana Thomasova
Dana Thomasova
MPMarzia Pasquali
Marzia Pasquali
GWGiles D. J. Watts
Giles D. J. Watts

1 September 2007 in Seminars in Pediatric Neurology
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Journal Article
Closed access
VKVirginia Kimonis
Virginia Kimonis
JGJune-Anne Gold
June-Anne Gold
THTrevor L. Hoffman
Trevor L. Hoffman
JPJayesh Panchal
Jayesh Panchal
SBSimeon A. Boyadjiev
Simeon A. Boyadjiev

7 July 2023 in Science Advances
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Journal Article
Open access
GCGerald Coulis
Gerald Coulis
DJDiego Jaime
Diego Jaime
CGChristian Guerrero-Juarez
Christian Guerrero-Juarez
JKJenna M. Kastenschmidt
Jenna M. Kastenschmidt
PFPhilip K. Farahat
Philip K. Farahat
SVS. Armando Villalta
S. Armando Villalta
Macrophages are essential for skeletal muscle homeostasis, but how their dysregulation contributes to the development of fibrosis in muscle disease remains unclear. Here, we used single-cell transcriptomics to determine the molecular attributes of dystrophic and healthy muscle macrophages. We identified six clusters and unexpectedly found that none corresponded to traditional definitions of M1 or M2 macrophages. Rather, the predominant macrophage signature in dystrophic muscle was characterized by high expression of fibrotic factors, galectin-3 (gal-3) and osteopontin ( Spp1 ). Spatial transcriptomics, computational inferences of intercellular communication, and in vitro assays indicated that macrophage-derived Spp1 regulates stromal progenitor differentiation. Gal-3 + macrophages were chronically activated in dystrophic muscle, and adoptive transfer assays showed that the gal-3 + phenotype was the dominant molecular program induced within the dystrophic milieu. Gal-3 + macrophages were also elevated in multiple human myopathies. These studies advance our understanding of macrophages in muscular dystrophy by defining their transcriptional programs and reveal Spp1 as a major regulator of macrophage and stromal progenitor interactions.

Verified
Journal Article
Open access
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RMRanim Mahmoud
Ranim Mahmoud
VKVirginia Kimonis
Virginia Kimonis
Merlin ButlerMerlin Butler
Merlin Butler
Obesity is a complex multifactorial disorder with genetic and environmental factors. There is an increase in the worldwide prevalence of obesity in both developed and developing countries. The development of genome-wide association studies (GWAS) and next-generation sequencing (NGS) has increased the discovery of genetic associations and awareness of monogenic and polygenic causes of obesity. The genetics of obesity could be classified into syndromic and non-syndromic obesity. Prader–Willi, fragile X, Bardet–Biedl, Cohen, and Albright Hereditary Osteodystrophy (AHO) syndromes are examples of syndromic obesity, which are associated with developmental delay and early onset obesity. Non-syndromic obesity could be monogenic, polygenic, or chromosomal in origin. Monogenic obesity is caused by variants of single genes while polygenic obesity includes several genes with the involvement of members of gene families. New advances in genetic testing have led to the identification of obesity-related genes. Leptin (LEP), the leptin receptor (LEPR), proopiomelanocortin (POMC), prohormone convertase 1 (PCSK1), the melanocortin 4 receptor (MC4R), single-minded homolog 1 (SIM1), brain-derived neurotrophic factor (BDNF), and the neurotrophic tyrosine kinase receptor type 2 gene (NTRK2) have been reported as causative genes for obesity. NGS is now in use and emerging as a useful tool to search for candidate genes for obesity in clinical settings.

5 May 2018 in Journal of Medical Genetics
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Journal Article
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Merlin ButlerMerlin Butler
Merlin Butler
SHSamantha N Hartin
Samantha N Hartin
WHWaheeda A Hossain
Waheeda A Hossain
AMAnn M Manzardo
Ann M Manzardo
VKVirginia Kimonis
Virginia Kimonis
DDDaniel J Driscoll
Daniel J Driscoll
Background Prader-Willi syndrome (PWS) is due to errors in genomic imprinting. PWS is recognised as the most common known genetic cause of life-threatening obesity. This report summarises the frequency and further characterises the PWS molecular classes and maternal age effects. Methods High-resolution microarrays, comprehensive chromosome 15 genotyping and methylation-specific multiplex ligation probe amplification were used to describe and further characterise molecular classes of maternal disomy 15 (UPD15) considering maternal age. Results We summarised genetic data from 510 individuals with PWS and 303 (60%) had the 15q11-q13 deletion; 185 (36%) with UPD15 and 22 (4%) with imprinting defects. We further characterised UPD15 findings into subclasses based on the presence (size, location) or absence of loss of heterozygosity (LOH). Additionally, significantly older mothers (mean age=32.5 years vs 27.7 years) were found in the UPD15 group (n=145) compared with the deletion subtype (n=200). Conclusions We report on molecular classes in PWS using advanced genomic technology in the largest cohort to date. LOH patterns in UPD15 may impact the risk of having a second genetic condition if the mother carries a recessive mutant allele in the isodisomic region on chromosome 15. The risk of UPD15 may also increase with maternal age.