Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Bayesian Posterior Probability (1)
- Cancer treatments (1)
- Embryo (1)
- Expression (1)
- Extracellular-Matrix (1)
-
- Follicles (1)
- Genes (1)
- Genetic Analysis Workshop (1)
- Growth Mixture Model (1)
- High Systolic Blood Pressure (1)
- Hypertension (1)
- Inhibitors (1)
- Metalloproteinases (1)
- Molecular disease (1)
- Nanoparticles (1)
- Ovulation (1)
- RNA (1)
- Rodent Gubernaculum (1)
- SIRNA (1)
- Spermatogenesis (1)
- Stem cells (1)
- Testicular Descent (1)
- Transmission Disequilibrium Test (1)
Articles 1 - 4 of 4
Full-Text Articles in Genetic Structures
Engineered Plga Nanoparticles For Delivery Of Sirna In Mcf-7 Breast Cancer Cells, Sydney Pong, Samit Shah, Vivek Gupta
Engineered Plga Nanoparticles For Delivery Of Sirna In Mcf-7 Breast Cancer Cells, Sydney Pong, Samit Shah, Vivek Gupta
Student Scholar Symposium Abstracts and Posters
Small interfering RNAs have been an emerging medical treatment for molecular based diseases as they are capable of gene-specific knockdown. Appropriate and efficient delivery remains one of the biggest challenges in the development of siRNA as an anti-cancer treatment. Nanoparticles containing siRNA were characterized and the efficacy of various peptides in the transfection of the nanoparticles were tested. A gene silencing assay was developed in order to determine the effect of siRNA therapeutics on gene functionality in breast cancer cells.
Lineage-Specific Interface Proteins Match Up The Cell Cycle And Differentiation In Embryo Stem Cells, Angela Re, Christopher T. Workman, Levi Waldron, Alessandro Quattrone, Søren Brunak
Lineage-Specific Interface Proteins Match Up The Cell Cycle And Differentiation In Embryo Stem Cells, Angela Re, Christopher T. Workman, Levi Waldron, Alessandro Quattrone, Søren Brunak
Publications and Research
The shortage of molecular information on cell cycle changes along embryonic stem cell (ESC) differentiation prompts an in silico approach, which may provide a novel way to identify candidate genes or mechanisms acting in coordinating the two programs. We analyzed germ layer specific gene expression changes during the cell cycle and ESC differentiation by combining four human cell cycle transcriptome profiles with thirteen in vitro human ESC differentiation studies. To detect cross-talk mechanisms we then integrated the transcriptome data that displayed differential regulation with protein interaction data. A new class of non-transcriptionally regulated genes was identified, encoding proteins which interact …
Cryptorchidism And Infertility In Rats With Targeted Disruption Of The Adamts16 Locus, Shakila Abdul-Majeed, Blair Mell, Surya M. Nauli, Bina Joe
Cryptorchidism And Infertility In Rats With Targeted Disruption Of The Adamts16 Locus, Shakila Abdul-Majeed, Blair Mell, Surya M. Nauli, Bina Joe
Pharmacy Faculty Articles and Research
A Disintegrin And Metalloproteinase with ThromboSpondin motifs16 (ADAMTS-16) is a member of a family of metalloproteinases. Using a novel zinc-finger nuclease based gene-edited rat model harboring a targeted mutation of the Adamts16 locus, we previously reported this gene to be linked to blood pressure regulation. Here we document our observation with this model that Adamts16 is essential for normal development of the testis. Absence of Adamts16 in the homozygous Adamts16(mutant) males resulted in cryptorchidism and male sterility. Heterozygous Adamts16(mutant) males were normal, indicating that this is a recessive trait. Testes of homozygous Adamts16(mutant) males were significantly smaller with significant histological …
Mapping Genes With Longitudinal Phenotypes Via Bayesian Posterior Probabilities, Anthony Musolf, Alejandro Q. Nato Jr., Douglas Londono, Lisheng Zhou, Tara C. Matise, Derek Gordon
Mapping Genes With Longitudinal Phenotypes Via Bayesian Posterior Probabilities, Anthony Musolf, Alejandro Q. Nato Jr., Douglas Londono, Lisheng Zhou, Tara C. Matise, Derek Gordon
Biochemistry and Microbiology
Most association studies focus on disease risk, with less attention paid to disease progression or severity. These phenotypes require longitudinal data. This paper presents a new method for analyzing longitudinal data to map genes in both population-based and family-based studies. Using simulated systolic blood pressure measurements obtained from Genetic Analysis Workshop 18, we cluster the phenotype data into trajectory subgroups. We then use the Bayesian posterior probability of being in the high subgroup as a quantitative trait in an association analysis with genotype data. This method maintains high power (>80%) in locating genes known to affect the simulated phenotype …