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You searched for +publisher:"Georgia Tech" +contributor:("McDonald, John F."). Showing records 1 – 16 of 16 total matches.

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Georgia Tech

1. Clayton, Evan. Global dysregulation of gene expression and tumorigenesis: Data science for cancer.

Degree: PhD, Biology, 2019, Georgia Tech

 Dysregulation of gene expression is a hallmark of cancer. Broadly speaking, my research is focused on the changes in gene expression that characterize the transition… (more)

Subjects/Keywords: Bioinformatics; Tumorigenesis; Cancer; Transposable elements; Alternative splicing; Gene expression; Gene regulation; Tumor suppressor genes; Allele-specific expression; Machine learning; Drug response; Precision oncology; Predictive models

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APA (6th Edition):

Clayton, E. (2019). Global dysregulation of gene expression and tumorigenesis: Data science for cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62290

Chicago Manual of Style (16th Edition):

Clayton, Evan. “Global dysregulation of gene expression and tumorigenesis: Data science for cancer.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/62290.

MLA Handbook (7th Edition):

Clayton, Evan. “Global dysregulation of gene expression and tumorigenesis: Data science for cancer.” 2019. Web. 19 Jan 2021.

Vancouver:

Clayton E. Global dysregulation of gene expression and tumorigenesis: Data science for cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/62290.

Council of Science Editors:

Clayton E. Global dysregulation of gene expression and tumorigenesis: Data science for cancer. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62290


Georgia Tech

2. Zhang, Mengnan. Analysis of the role of miRNAs in ovarian cancer metastasis.

Degree: PhD, Biology, 2019, Georgia Tech

 Cancer mortality is primarily due to metastasis. Metastasis is a complex multi-step process involving, on the molecular level, regulatory control of two key development pathways:… (more)

Subjects/Keywords: miRNA; Gene expression; Ovarian cancer; Epithelial-to-mesenchymal mesenchymal-to-epithelial transition

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APA (6th Edition):

Zhang, M. (2019). Analysis of the role of miRNAs in ovarian cancer metastasis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62647

Chicago Manual of Style (16th Edition):

Zhang, Mengnan. “Analysis of the role of miRNAs in ovarian cancer metastasis.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/62647.

MLA Handbook (7th Edition):

Zhang, Mengnan. “Analysis of the role of miRNAs in ovarian cancer metastasis.” 2019. Web. 19 Jan 2021.

Vancouver:

Zhang M. Analysis of the role of miRNAs in ovarian cancer metastasis. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/62647.

Council of Science Editors:

Zhang M. Analysis of the role of miRNAs in ovarian cancer metastasis. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62647


Georgia Tech

3. Srinivasan, Swetha. Understanding the systemic roles of exosomes in innate immunity.

Degree: PhD, Biology, 2016, Georgia Tech

 Cell-cell communication is critical for rapidly spreading the message of infection and enabling the innate immune system to mount a broad response against the pathogen.… (more)

Subjects/Keywords: Exosomes; Lymphatic transport; TLR; LPS; Poly (I:C) macrophages; Innate immunity

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APA (6th Edition):

Srinivasan, S. (2016). Understanding the systemic roles of exosomes in innate immunity. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58595

Chicago Manual of Style (16th Edition):

Srinivasan, Swetha. “Understanding the systemic roles of exosomes in innate immunity.” 2016. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/58595.

MLA Handbook (7th Edition):

Srinivasan, Swetha. “Understanding the systemic roles of exosomes in innate immunity.” 2016. Web. 19 Jan 2021.

Vancouver:

Srinivasan S. Understanding the systemic roles of exosomes in innate immunity. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/58595.

Council of Science Editors:

Srinivasan S. Understanding the systemic roles of exosomes in innate immunity. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58595


Georgia Tech

4. Bongiorno, Thomas. Cellular stiffness as a sorting-compatible indicator of stem cell potency.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 Due to their characteristic properties of self-renewal and differentiation, stem cells hold the capacity to serve as phenotype-specific cell factories for various regenerative medicine and… (more)

Subjects/Keywords: Cell mechanics; Stem cell; Atomic force microscopy; Microfluidics

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APA (6th Edition):

Bongiorno, T. (2016). Cellular stiffness as a sorting-compatible indicator of stem cell potency. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59150

Chicago Manual of Style (16th Edition):

Bongiorno, Thomas. “Cellular stiffness as a sorting-compatible indicator of stem cell potency.” 2016. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/59150.

MLA Handbook (7th Edition):

Bongiorno, Thomas. “Cellular stiffness as a sorting-compatible indicator of stem cell potency.” 2016. Web. 19 Jan 2021.

Vancouver:

Bongiorno T. Cellular stiffness as a sorting-compatible indicator of stem cell potency. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/59150.

Council of Science Editors:

Bongiorno T. Cellular stiffness as a sorting-compatible indicator of stem cell potency. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59150


Georgia Tech

5. Mittal, Vinay K. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.

Degree: PhD, Biology, 2014, Georgia Tech

 Gene-fusions are a prevalent class of genetic variants that are often employed as cancer biomarkers and therapeutic targets. In recent years, high-throughput sequencing of the… (more)

Subjects/Keywords: Cancer; RNA-Seq; Whole-genome sequencing; Gene-fusion; Bioinformatics; Chimeric transcript; Pipeline; Transcriptomics; Genomics; Next-generation sequencing; High-throughput sequencing

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APA (6th Edition):

Mittal, V. K. (2014). Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54014

Chicago Manual of Style (16th Edition):

Mittal, Vinay K. “Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/54014.

MLA Handbook (7th Edition):

Mittal, Vinay K. “Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.” 2014. Web. 19 Jan 2021.

Vancouver:

Mittal VK. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/54014.

Council of Science Editors:

Mittal VK. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54014


Georgia Tech

6. Huang, Andrew Douglas. Computational analysis of gene expression in complex disease.

Degree: PhD, Biology, 2014, Georgia Tech

 Cardiovascular disease (CVD) causes 45% of on-duty firefighter fatalities, a high fraction even when compared to the risk of CVD found in other first-responder professions… (more)

Subjects/Keywords: Gene expression; Microarrays; Coronary artery disease; Ovarian cancer; Bioinformatics

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APA (6th Edition):

Huang, A. D. (2014). Computational analysis of gene expression in complex disease. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54257

Chicago Manual of Style (16th Edition):

Huang, Andrew Douglas. “Computational analysis of gene expression in complex disease.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/54257.

MLA Handbook (7th Edition):

Huang, Andrew Douglas. “Computational analysis of gene expression in complex disease.” 2014. Web. 19 Jan 2021.

Vancouver:

Huang AD. Computational analysis of gene expression in complex disease. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/54257.

Council of Science Editors:

Huang AD. Computational analysis of gene expression in complex disease. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54257


Georgia Tech

7. Vermeersch, Kathleen A. Systems-level characterization of ovarian cancer metabolism.

Degree: PhD, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 The purpose of this thesis was to characterize cancer metabolism in vitro using epithelial ovarian cancer as a model on an untargeted, systems-level, basis with… (more)

Subjects/Keywords: Cancer stem cells; Cancer metabolism; Ovarian cancer; Metabolomics

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APA (6th Edition):

Vermeersch, K. A. (2014). Systems-level characterization of ovarian cancer metabolism. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54258

Chicago Manual of Style (16th Edition):

Vermeersch, Kathleen A. “Systems-level characterization of ovarian cancer metabolism.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/54258.

MLA Handbook (7th Edition):

Vermeersch, Kathleen A. “Systems-level characterization of ovarian cancer metabolism.” 2014. Web. 19 Jan 2021.

Vancouver:

Vermeersch KA. Systems-level characterization of ovarian cancer metabolism. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/54258.

Council of Science Editors:

Vermeersch KA. Systems-level characterization of ovarian cancer metabolism. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54258


Georgia Tech

8. Jones, Christina Michele. Applications and challenges in mass spectrometry-based untargeted metabolomics.

Degree: PhD, Chemistry and Biochemistry, 2015, Georgia Tech

 Metabolomics is the methodical scientific study of biochemical processes associated with the metabolome—which comprises the entire collection of metabolites in any biological entity. Metabolome changes… (more)

Subjects/Keywords: Metabolomics; Untargeted metabolomics; Metabolite profiling; Metabolite fingerprinting; Mass spectrometry; Oncometabolomics; Ecometabolomics; Serum metabolomics; Systems biology; Proteomics; Cancer detection; Early detection; Biomarkers; Prostate cancer; Prostate cancer detection; Machine learning methods; Support vector machines; In vitro diagnostic multivariate index assay; IVDMIA; Ovarian cancer; Ovarian cancer detection; Mouse models; DKO mouse model; Early stage cancer detection; Chemically mediated interactions; Chemical ecology; Karenia brevis; Allelopathy; Red tide; Ambient mass spectrometry; Ultra performance liquid chromatography; Direct analysis in real time; DART; Transmission mode DART; Probe mode DART; Traveling wave ion mobility-mass spectrometry; TWIMS; Exhaled breath condensate; Cystic fibrosis

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APA (6th Edition):

Jones, C. M. (2015). Applications and challenges in mass spectrometry-based untargeted metabolomics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54830

Chicago Manual of Style (16th Edition):

Jones, Christina Michele. “Applications and challenges in mass spectrometry-based untargeted metabolomics.” 2015. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/54830.

MLA Handbook (7th Edition):

Jones, Christina Michele. “Applications and challenges in mass spectrometry-based untargeted metabolomics.” 2015. Web. 19 Jan 2021.

Vancouver:

Jones CM. Applications and challenges in mass spectrometry-based untargeted metabolomics. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/54830.

Council of Science Editors:

Jones CM. Applications and challenges in mass spectrometry-based untargeted metabolomics. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54830


Georgia Tech

9. Jabbari, Neda. Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer.

Degree: PhD, Biology, 2015, Georgia Tech

 MicroRNAs are short non-coding RNAs that regulate large suites of target genes. A family of miRNAs known as the miR-200 is implicated in the epithelial-mesenchymal/… (more)

Subjects/Keywords: Ovarian cancer; miRNA

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APA (6th Edition):

Jabbari, N. (2015). Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55522

Chicago Manual of Style (16th Edition):

Jabbari, Neda. “Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer.” 2015. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/55522.

MLA Handbook (7th Edition):

Jabbari, Neda. “Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer.” 2015. Web. 19 Jan 2021.

Vancouver:

Jabbari N. Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/55522.

Council of Science Editors:

Jabbari N. Functional significance of sequence variation among miR-200/205 families of miRNAs in ovarian cancer. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55522


Georgia Tech

10. McAndrews, Kathleen M. Molecular and mechanical regulators of mesenchymal stem cell microenvironments.

Degree: PhD, Chemical and Biomolecular Engineering, 2015, Georgia Tech

 Mesenchymal stem cells (MSCs) are multipotent cells that are recruited to sites of inflammation, where they interact with the microenvironment to induce tissue regeneration. As… (more)

Subjects/Keywords: Mesenchymal stem cells; Tissue engineering; Mechanotransduction; Biomaterials; Cancer; Cell adhesion; Cell migration

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APA (6th Edition):

McAndrews, K. M. (2015). Molecular and mechanical regulators of mesenchymal stem cell microenvironments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55535

Chicago Manual of Style (16th Edition):

McAndrews, Kathleen M. “Molecular and mechanical regulators of mesenchymal stem cell microenvironments.” 2015. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/55535.

MLA Handbook (7th Edition):

McAndrews, Kathleen M. “Molecular and mechanical regulators of mesenchymal stem cell microenvironments.” 2015. Web. 19 Jan 2021.

Vancouver:

McAndrews KM. Molecular and mechanical regulators of mesenchymal stem cell microenvironments. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/55535.

Council of Science Editors:

McAndrews KM. Molecular and mechanical regulators of mesenchymal stem cell microenvironments. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55535


Georgia Tech

11. Rishishwar, Lavanya. Population genomics of human polymorphic transposable elements.

Degree: PhD, Biology, 2016, Georgia Tech

 Transposable element (TE) activity has had a major impact on the human genome; more than two-thirds of the sequence is derived from TE insertions. Several… (more)

Subjects/Keywords: Bioinformatics; Evolution; Natural selection; Human ancestry and admixture

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APA (6th Edition):

Rishishwar, L. (2016). Population genomics of human polymorphic transposable elements. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56323

Chicago Manual of Style (16th Edition):

Rishishwar, Lavanya. “Population genomics of human polymorphic transposable elements.” 2016. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/56323.

MLA Handbook (7th Edition):

Rishishwar, Lavanya. “Population genomics of human polymorphic transposable elements.” 2016. Web. 19 Jan 2021.

Vancouver:

Rishishwar L. Population genomics of human polymorphic transposable elements. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/56323.

Council of Science Editors:

Rishishwar L. Population genomics of human polymorphic transposable elements. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56323


Georgia Tech

12. Wade, James Donald. Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2019, Georgia Tech

 Cell signaling pathways are complex biochemical systems at the core of cellular information processing. The dynamics of these signaling systems in response to internal and… (more)

Subjects/Keywords: Computational biology; Computational modeling; Systems biology; Single cell; Mass cytometry; Signaling; Dynamics; Inference; Multiplexed; Multivariate; Snapshot; Trajectory

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APA (6th Edition):

Wade, J. D. (2019). Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62648

Chicago Manual of Style (16th Edition):

Wade, James Donald. “Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/62648.

MLA Handbook (7th Edition):

Wade, James Donald. “Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations.” 2019. Web. 19 Jan 2021.

Vancouver:

Wade JD. Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/62648.

Council of Science Editors:

Wade JD. Computational modeling and analysis of single-cell signaling dynamics in heterogeneous cell populations. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62648


Georgia Tech

13. Lili, Loukia. Computational analyses of gene expression profiles of ovarian and pancreatic cancer.

Degree: PhD, Biology, 2013, Georgia Tech

 Cancer is a devastating disease for human society with thousands of deaths and estimated new cases every year around the globe. Intensive research efforts on… (more)

Subjects/Keywords: Cancer; Microarray; Gene expression

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APA (6th Edition):

Lili, L. (2013). Computational analyses of gene expression profiles of ovarian and pancreatic cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52911

Chicago Manual of Style (16th Edition):

Lili, Loukia. “Computational analyses of gene expression profiles of ovarian and pancreatic cancer.” 2013. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/52911.

MLA Handbook (7th Edition):

Lili, Loukia. “Computational analyses of gene expression profiles of ovarian and pancreatic cancer.” 2013. Web. 19 Jan 2021.

Vancouver:

Lili L. Computational analyses of gene expression profiles of ovarian and pancreatic cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/52911.

Council of Science Editors:

Lili L. Computational analyses of gene expression profiles of ovarian and pancreatic cancer. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52911


Georgia Tech

14. Wang, Lu. Transposable element polymorphisms and human genome regulation.

Degree: PhD, Biology, 2017, Georgia Tech

 Transposable elements (TEs) are DNA sequences that are capable of moving from one genomic location to another. A large proportion of the human genome is… (more)

Subjects/Keywords: Transposable elements; Bioinformatics; Alu; L1; SVA; Gene expression; Gene regulation; GWAS; Expression quantitative trait loci; Polymorphism; Genetic variation

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APA (6th Edition):

Wang, L. (2017). Transposable element polymorphisms and human genome regulation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59266

Chicago Manual of Style (16th Edition):

Wang, Lu. “Transposable element polymorphisms and human genome regulation.” 2017. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/59266.

MLA Handbook (7th Edition):

Wang, Lu. “Transposable element polymorphisms and human genome regulation.” 2017. Web. 19 Jan 2021.

Vancouver:

Wang L. Transposable element polymorphisms and human genome regulation. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/59266.

Council of Science Editors:

Wang L. Transposable element polymorphisms and human genome regulation. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59266

15. Medrzycki, Magdalena. The role of H1 linker histone variants in ovarian cancer.

Degree: PhD, Biology, 2013, Georgia Tech

 Linker histone H1 associates with nucleosomes, facilitating folding and packaging of DNA into higher order chromatin structure. With 11 variants in mammals, histone H1 is… (more)

Subjects/Keywords: Histone linker H1; Ovarian cancer

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APA (6th Edition):

Medrzycki, M. (2013). The role of H1 linker histone variants in ovarian cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53980

Chicago Manual of Style (16th Edition):

Medrzycki, Magdalena. “The role of H1 linker histone variants in ovarian cancer.” 2013. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/53980.

MLA Handbook (7th Edition):

Medrzycki, Magdalena. “The role of H1 linker histone variants in ovarian cancer.” 2013. Web. 19 Jan 2021.

Vancouver:

Medrzycki M. The role of H1 linker histone variants in ovarian cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/53980.

Council of Science Editors:

Medrzycki M. The role of H1 linker histone variants in ovarian cancer. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/53980

16. Ghosh, Deepraj. Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics.

Degree: PhD, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 Mesenchymal stem cells (MSCs) are bone marrow derived multipotent cells with the ability to self-renew and differentiate into multiple connective cell lineages. In vivo, MSCs… (more)

Subjects/Keywords: Cell mechanics; Wound healing; Mesenchymal stem cells; Transforming growth factor-β1 (TGF-β1); Platelet derived growth factor (PDGF)

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APA (6th Edition):

Ghosh, D. (2014). Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54032

Chicago Manual of Style (16th Edition):

Ghosh, Deepraj. “Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 19, 2021. http://hdl.handle.net/1853/54032.

MLA Handbook (7th Edition):

Ghosh, Deepraj. “Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics.” 2014. Web. 19 Jan 2021.

Vancouver:

Ghosh D. Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1853/54032.

Council of Science Editors:

Ghosh D. Soluble factor mediated manipulation of mesenchymal stem cell mechanics for improved function of cell-based therapeutics. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54032

.