Sara V. Good

Prof. Dr. Sara V. Good


Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

View All Publications
30 June 2017 in Frontiers in Immunology
Verified
Journal Article
Open access
DUDaniel Ikenna Udenwobele
Daniel Ikenna Udenwobele
RSRuey-Chyi Su
Ruey-Chyi Su
SGSara V. Good
Sara V. Good
TBTerry Blake Ball
Terry Blake Ball
SSShailly Varma Shrivastav
Shailly Varma Shrivastav
University of WinnipegUniversity of Winnipeg
University of Winnipeg
Increasing biochemical and genetic evidence confirms that myristoylation is an evolutionary conserved process of lipid modification in many eukaryotic and viral proteins. The discovery that the N-terminal blocking group of cyclic AMP-dependent protein kinase is a myristic acid, some 33 years ago, led to the birth of the field of ‘myristoylation’, dedicated to understanding the significance of protein myristoylation. Although the field is in its infancy, an increasing number of studies have appeared addressing the mechanisms and significance of N-myristoylation in various aspects of cellular signaling. N-Myristoylation is known to occur in mammalian, plant, viral and fungal proteins. Many proteins involved in a variety of signal cascades and cellular differentiation are myristoylated. These include the catalytic subunit of cAMP-dependent protein kinase, the β-subunit of calcineurin, the α-subunit of several G-proteins, the cellular and transforming forms of pp60src. Given the indispensible role of myristoylation in cellular functions, in this review, we examine the myriad functional implications of myristoylation with respect to immune function and regulation.

1 March 2000 in Annals of Botany
Verified
Journal Article
Open access
PDF file
ASAndrew G. Stephenson
Andrew G. Stephenson
SGSara V. Good
Sara V. Good
DVDonna W. Vogler
Donna W. Vogler
The evolution of breeding systems in plants is often viewed as a balance between the adverse consequences of selfing (inbreeding depression and the l

21 March 2012 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SYSergey Yegorov
Sergey Yegorov
SGSara V. Good
Sara V. Good
Recent progress in the analysis of whole genome sequencing data has resulted in the emergence of paleogenomics, a field devoted to the reconstruction of ancestral genomes. Ancestral karyotype reconstructions have been used primarily to illustrate the dynamic nature of genome evolution. In this paper, we demonstrate how they can also be used to study individual gene families by examining the evolutionary history of relaxin hormones (RLN/INSL) and relaxin family peptide receptors (RXFP). Relaxin family hormones are members of the insulin superfamily, and are implicated in the regulation of a variety of primarily reproductive and neuroendocrine processes. Their receptors are G-protein coupled receptors (GPCR's) and include members of two distinct evolutionary groups, an unusual characteristic. Although several studies have tried to elucidate the origins of the relaxin peptide family, the evolutionary origin of their receptors and the mechanisms driving the diversification of the RLN/INSL-RXFP signaling systems in non-placental vertebrates has remained elusive. Here we show that the numerous vertebrate RLN/INSL and RXFP genes are products of an ancestral receptor-ligand system that originally consisted of three genes, two of which apparently trace their origins to invertebrates. Subsequently, diversification of the system was driven primarily by whole genome duplications (WGD, 2R and 3R) followed by almost complete retention of the ligand duplicates in most vertebrates but massive loss of receptor genes in tetrapods. Interestingly, the majority of 3R duplicates retained in teleosts are potentially involved in neuroendocrine regulation. Furthermore, we infer that the ancestral AncRxfp3/4 receptor may have been syntenically linked to the AncRln-like ligand in the pre-2R genome, and show that syntenic linkages among ligands and receptors have changed dynamically in different lineages. This study ultimately shows the broad utility, with some caveats, of incorporating paleogenomics data into understanding the evolution of gene families.

1 April 2019 in Molecular Phylogenetics and Evolution
Verified
Journal Article
Closed access
IFI.N. Flores-Abreu
I.N. Flores-Abreu
RTR.E. Trejo-Salazar
R.E. Trejo-Salazar
LSL.L. Sánchez-Reyes
L.L. Sánchez-Reyes
SGSara V. Good
Sara V. Good
SMS. Magallón
S. Magallón
LELuis E. Eguiarte
Luis E. Eguiarte

1 May 2021 in The Lancet Regional Health - Europe
Verified
Journal Article
Open access
SYSergey Yegorov
Sergey Yegorov
MGMaiya Goremykina
Maiya Goremykina
RIRaifa Ivanova
Raifa Ivanova
SGSara V. Good
Sara V. Good
DBDmitriy Babenko
Dmitriy Babenko
YZYersin Zhunussov
Yersin Zhunussov
The earliest coronavirus disease-2019 (COVID-19) cases in Central Asia were announced in March 2020 by Kazakhstan. Despite the implementation of aggressive measures to curb infection spread, gaps remain in the understanding of the clinical and epidemiologic features of the regional pandemic. We did a retrospective, observational cohort study of patients with laboratory-confirmed COVID-19 hospitalized in Kazakhstan between February and April 2020. We compared demographic, clinical, laboratory and radiological data of patients with different COVID-19 severities on admission. Logistic regression was used to assess factors associated with disease severity and in-hospital death. Whole-genome SARS-CoV-2 analysis was performed in 53 patients. Of the 1072 patients with laboratory-confirmed COVID-19 in March-April 2020, the median age was 36 years (IQR 24–50) and 484 (45%) were male. On admission, 683 (64%) participants had asymptomatic/mild, 341 (32%) moderate, and 47 (4%) severe-to-critical COVID-19 manifestation; 20 in-hospital deaths (1•87%) were reported by 5 May 2020. Multivariable regression indicated increasing odds of severe disease associated with older age (odds ratio 1•05, 95% CI 1•03-1•07, per year increase; p<0•001), the presence of comorbidities (2•34, 95% CI 1•18-4•85; p=0•017) and elevated white blood cell count (WBC, 1•13, 95% CI 1•00-1•27; p=0•044) on admission, while older age (1•09, 95% CI 1•06-1•13, per year increase; p<0•001) and male sex (5•63, 95% CI 2•06-17•57; p=0•001) were associated with increased odds of in-hospital death. The SARS-CoV-2 isolates grouped into seven phylogenetic lineages, O/B.4.1, S/A.2, S/B.1.1, G/B.1, GH/B.1.255, GH/B.1.3 and GR/B.1.1.10; 87% of the isolates were O and S sub-types descending from early Asian lineages, while the G, GH and GR isolates were related to lineages from Europe and the Americas. Older age, comorbidities, increased WBC count, and male sex were risk factors for COVID-19 disease severity and mortality in Kazakhstan. The broad SARS-CoV-2 diversity suggests multiple importations and community-level amplification predating travel restriction. Ministry of Education and Science of the Republic of Kazakhstan.

1 December 2014 in General and Comparative Endocrinology
Verified
Journal Article
Closed access
SYSergey Yegorov
Sergey Yegorov
JBJan Bogerd
Jan Bogerd
SGSara V. Good
Sara V. Good