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Dive into the research topics where Summer G. Goodson is active.

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Featured researches published by Summer G. Goodson.


Nature | 2005

A microRNA polycistron as a potential human oncogene

Lin He; J. Michael Thomson; Michael T. Hemann; Eva Hernando-Monge; David Mu; Summer G. Goodson; Scott Powers; Carlos Cordon-Cardo; Scott W. Lowe; Gregory J. Hannon; Scott M. Hammond

To date, more than 200 microRNAs have been described in humans; however, the precise functions of these regulatory, non-coding RNAs remains largely obscure. One cluster of microRNAs, the mir-17–92 polycistron, is located in a region of DNA that is amplified in human B-cell lymphomas. Here we compared B-cell lymphoma samples and cell lines to normal tissues, and found that the levels of the primary or mature microRNAs derived from the mir-17–92 locus are often substantially increased in these cancers. Enforced expression of the mir-17–92 cluster acted with c-myc expression to accelerate tumour development in a mouse B-cell lymphoma model. Tumours derived from haematopoietic stem cells expressing a subset of the mir-17–92 cluster and c-myc could be distinguished by an absence of apoptosis that was otherwise prevalent in c-myc-induced lymphomas. Together, these studies indicate that non-coding RNAs, specifically microRNAs, can modulate tumour formation, and implicate the mir-17–92 cluster as a potential human oncogene.


Biology of Reproduction | 2011

Classification of Mouse Sperm Motility Patterns Using an Automated Multiclass Support Vector Machines Model

Summer G. Goodson; Zhaojun Zhang; James K. Tsuruta; Wei Wang; Deborah A. O'Brien

Vigorous sperm motility, including the transition from progressive to hyperactivated motility that occurs in the female reproductive tract, is required for normal fertilization in mammals. We developed an automated, quantitative method that objectively classifies five distinct motility patterns of mouse sperm using Support Vector Machines (SVM), a common method in supervised machine learning. This multiclass SVM model is based on more than 2000 sperm tracks that were captured by computer-assisted sperm analysis (CASA) during in vitro capacitation and visually classified as progressive, intermediate, hyperactivated, slow, or weakly motile. Parameters associated with the classified tracks were incorporated into established SVM algorithms to generate a series of equations. These equations were integrated into a binary decision tree that sequentially sorts uncharacterized tracks into distinct categories. The first equation sorts CASA tracks into vigorous and nonvigorous categories. Additional equations classify vigorous tracks as progressive, intermediate, or hyperactivated and nonvigorous tracks as slow or weakly motile. Our CASAnova software uses these SVM equations to classify individual sperm motility patterns automatically. Comparisons of motility profiles from sperm incubated with and without bicarbonate confirmed the ability of the model to distinguish hyperactivated patterns of motility that develop during in vitro capacitation. The model accurately classifies motility profiles of sperm from a mutant mouse model with severe motility defects. Application of the model to sperm from multiple inbred strains reveals strain-dependent differences in sperm motility profiles. CASAnova provides a rapid and reproducible platform for quantitative comparisons of motility in large, heterogeneous populations of mouse sperm.


Biology of Reproduction | 2012

Metabolic Substrates Exhibit Differential Effects on Functional Parameters of Mouse Sperm Capacitation

Summer G. Goodson; Yunping Qiu; Keith A. Sutton; Guoxiang Xie; Wei Jia; Deborah A. O'Brien

ABSTRACT Although substantial evidence exists that sperm ATP production via glycolysis is required for mammalian sperm function and male fertility, conflicting reports involving multiple species have appeared regarding the ability of individual glycolytic or mitochondrial substrates to support the physiological changes that occur during capacitation. Several mouse models with defects in the signaling pathways required for capacitation exhibit reductions in sperm ATP levels, suggesting regulatory interactions between sperm metabolism and signal transduction cascades. To better understand these interactions, we conducted quantitative studies of mouse sperm throughout a 2-h in vitro capacitation period and compared the effects of single substrates assayed under identical conditions. Multiple glycolytic and nonglycolytic substrates maintained sperm ATP levels and comparable percentages of motility, but only glucose and mannose supported hyperactivation. These monosaccharides and fructose supported the full pattern of tyrosine phosphorylation, whereas nonglycolytic substrates supported at least partial tyrosine phosphorylation. Inhibition of glycolysis impaired motility in the presence of glucose, fructose, or pyruvate but not in the presence of hydroxybutyrate. Addition of an uncoupler of oxidative phosphorylation reduced motility with pyruvate or hydroxybutyrate as substrates but unexpectedly stimulated hyperactivation with fructose. Investigating differences between glucose and fructose in more detail, we demonstrated that hyperactivation results from the active metabolism of glucose. Differences between glucose and fructose appeared to be downstream of changes in intracellular pH, which rose to comparable levels during incubation with either substrate. Sperm redox pathways were differentially affected, with higher levels of associated metabolites and reactive oxygen species generated during incubations with fructose than during incubations with glucose.


G3: Genes, Genomes, Genetics | 2015

The Founder Strains of the Collaborative Cross Express a Complex Combination of Advantageous and Deleterious Traits for Male Reproduction

Fanny Odet; Wenqi Pan; Timothy A. Bell; Summer G. Goodson; Alicia M. Stevans; Zianing Yun; David L. Aylor; Chia-Yu Kao; Leonard McMillan; Fernando Pardo-Manuel de Villena; Deborah A. O’Brien

Surveys of inbred strains of mice are standard approaches to determine the heritability and range of phenotypic variation for biomedical traits. In addition, they may lead to the identification of novel phenotypes and models of human disease. Surprisingly, male reproductive phenotypes are among the least-represented traits in the Mouse Phenome Database. Here we report the results of a broad survey of the eight founder inbred strains of both the Collaborative Cross (CC) and the Diversity Outbred populations, two new mouse resources that are being used as platforms for systems genetics and sources of mouse models of human diseases. Our survey includes representatives of the three main subspecies of the house mice and a mix of classical and wild-derived inbred strains. In addition to standard staples of male reproductive phenotyping such as reproductive organ weights, sperm counts, and sperm morphology, our survey includes sperm motility and the first detailed survey of testis histology. As expected for such a broad survey, heritability varies widely among traits. We conclude that although all eight inbred strains are fertile, most display a mix of advantageous and deleterious male reproductive traits. The CAST/EiJ strain is an outlier, with an unusual combination of deleterious male reproductive traits including low sperm counts, high levels of morphologically abnormal sperm, and poor motility. In contrast, sperm from the PWK/PhJ and WSB/EiJ strains had the greatest percentages of normal morphology and vigorous motility. Finally, we report an abnormal testis phenotype that is highly heritable and restricted to the WSB/EiJ strain. This phenotype is characterized by the presence of a large, but variable, number of vacuoles in at least 10% of the seminiferous tubules. The onset of the phenotype between 2 and 3 wk of age is temporally correlated with the formation of the blood-testis barrier. We speculate that this phenotype may play a role in high rates of extinction in the CC project and in the phenotypes associated with speciation in genetic crosses that use the WSB/EiJ strain as representative of the Mus muculus domesticus subspecies.


Biology of Reproduction | 2017

CASAnova: A multiclass support vector machine model for the classification of human sperm motility patterns

Summer G. Goodson; Sarah White; Alicia M. Stevans; Sanjana Bhat; Chia Yu Kao; Scott Jaworski; Tamara R. Marlowe; Martin Kohlmeier; Leonard McMillan; Steven H. Zeisel; Deborah A. O'Brien

Abstract The ability to accurately monitor alterations in sperm motility is paramount to understanding multiple genetic and biochemical perturbations impacting normal fertilization. Computer-aided sperm analysis (CASA) of human sperm typically reports motile percentage and kinematic parameters at the population level, and uses kinematic gating methods to identify subpopulations such as progressive or hyperactivated sperm. The goal of this study was to develop an automated method that classifies all patterns of human spermmotility during in vitro capacitation following the removal of seminal plasma. We visually classified CASA tracks of 2817 sperm from 18 individuals and used a support vector machine-based decision tree to compute four hyperplanes that separate five classes based on their kinematic parameters. We then developed a web-based program, CASAnova, which applies these equations sequentially to assign a single classification to each motile sperm. Vigorous sperm are classified as progressive, intermediate, or hyperactivated, and nonvigorous sperm as slow or weakly motile. This program correctly classifies sperm motility into one of five classes with an overall accuracy of 89.9%. Application of CASAnova to capacitating sperm populations showed a shift from predominantly linear patterns of motility at initial time points to more vigorous patterns, including hyperactivated motility, as capacitation proceeds. Both intermediate and hyperactivated motility patterns were largely eliminated when sperm were incubated in noncapacitating medium, demonstrating the sensitivity of this method. The five CASAnova classifications are distinctive and reflect kinetic parameters of washed human sperm, providing an accurate, quantitative, and high-throughput method for monitoring alterations in motility. Summary Sentence A CASA-based support vector machine model of human sperm motility provides rapid, accurate, and quantitative analysis of all motile sperm in a population.


Biology of Reproduction | 2017

Sperm function, protein phosphorylation, and metabolism differ in mice lacking successive sperm-specific glycolytic enzymes

Zaohua Huang; Polina V. Danshina; Kathleen Mohr; Weidong Qu; Summer G. Goodson; Thomas M. O’Connell; Deborah A. O’Brien

Glyceraldehyde 3-phosphate dehydrogenase-S (GAPDHS) and phosphoglycerate kinase 2 (PGK2), two isozymes restricted to the male germline, catalyze successive steps in the glycolytic pathway in mammalian sperm. Although gene targeting of each isozyme demonstrated that glycolysis is required for normal sperm motility and male fertility, the phenotype of mice lacking GAPDHS is more severe than that of mice lacking PGK2. This study examined sperm function, signaling pathways, and metabolism to investigate factors that contribute to the phenotypic differences between these knockout models. Sperm from the two knockouts exhibited comparable deficits in zona binding, in vitro fertilization with or without zona drilling, and capacitation-dependent tyrosine phosphorylation. In contrast, signaling and metabolic differences were apparent prior to capacitation. Phosphorylation of sperm protein phosphatase 1, which has been associated with the acquisition of motile capacity during epididymal maturation, was deficient only in GAPDHS-null sperm. Carnitine, choline, phosphocholine, and taurine were elevated in sperm from both knockouts immediately after collection from the epididymis. However, only carnitine levels in PGK2-null sperm were significantly different from wild-type sperm, while all four metabolites were significantly higher in GAPDHS-null sperm. We confirmed that glycolysis is required for robust hyperactivation, but found that the motility of PGK2-null sperm improved to levels comparable to wild-type sperm with pyruvate as the sole metabolic substrate. This nonglycolysable substrate did not improve progressive motility in GAPDHS-null sperm. These results identify multiple signaling and metabolic defects that are likely contributors to male infertility and the absence of progressive sperm motility seen in mice lacking GAPDHS.


Archive | 2006

Compositions and methods for cancer diagnosis and treatment

Gregory J. Hannon; Scott M. Hammond; Lin He; John Michael Thomson; Summer G. Goodson


Archive | 2011

Sperm motility analyzer and related methods

Summer G. Goodson; Zhaojun Zhang; James K. Tsuruta; Wei Wang; Deborah A. O'Brien


Archive | 2012

Short Title: Effect of Metabolic Substrates on Capacitation Summary Sentence: Both glycolytic and non-glycolytic substrates exhibit differential effects on sperm motility, hyperactivation and tyrosine phosphorylation during capacitation, and differences between glucose and fructose are correlated with alteration of redox pathways.

Summer G. Goodson; Yunping Qiu; Keith A. Sutton; Guoxiang Xie; Wei Jia; A Deborah; Deborah A. O'Brien


Biology of Reproduction | 2011

Glycolytic Substrates Have Differential Effects on Mouse Sperm Capacitation and Hyperactivation.

Summer G. Goodson; Yunping Qiu; Guoxiang Xie; Wei Jia; Deborah A. O'Brien

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Deborah A. O'Brien

University of North Carolina at Chapel Hill

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Lin He

University of North Carolina at Chapel Hill

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Gregory J. Hannon

University of North Carolina at Chapel Hill

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J. Michael Thomson

University of North Carolina at Chapel Hill

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James K. Tsuruta

University of North Carolina at Chapel Hill

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Wei Wang

University of North Carolina at Chapel Hill

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Yunping Qiu

University of North Carolina at Greensboro

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Zhaojun Zhang

University of North Carolina at Chapel Hill

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