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Full-Text Articles in Life Sciences
Nanobubbles Provide Theranostic Relief To Cancer Hypoxia, Christopher M. Long, Pushpak N. Bhandari, Joseph Irudayaraj
Nanobubbles Provide Theranostic Relief To Cancer Hypoxia, Christopher M. Long, Pushpak N. Bhandari, Joseph Irudayaraj
The Summer Undergraduate Research Fellowship (SURF) Symposium
Hypoxia is a common motif among tumors, contributing to metastasis, angiogenesis, cellular epigenetic abnormality, and resistance to cancer therapy. Hypoxia also plays a pivotal role in oncological studies, where it can be used as a principal target for new anti-cancer therapeutic methods. Oxygen nanobubbles were designed in an effort to target the hypoxic tumor regions, thus interrupting the hypoxia-inducible factor-1α (HIF-1α) regulatory pathway and inhibiting tumor progression. At less than 100nm, oxygen nanobubbles act as a vehicle for site-specific oxygen delivery, while also serving as an ultrasound contrast agent for advanced imaging purposes. Through in vitro and in vivo studies, …
Assembly Of Nucleic Acid-Based Nanoparticles By Gas-Liquid Segmented Flow Microfluidics, Matthew L. Capek, Ross Verheul, David H. Thompson
Assembly Of Nucleic Acid-Based Nanoparticles By Gas-Liquid Segmented Flow Microfluidics, Matthew L. Capek, Ross Verheul, David H. Thompson
The Summer Undergraduate Research Fellowship (SURF) Symposium
The development of novel and efficient mixing methods is important for optimizing the efficiency of many biological and chemical processes. Tuning the physical and performance properties of nucleic acid-based nanoparticles is one such example known to be strongly affected by mixing efficiency. The characteristics of DNA nanoparticles (such as size, polydispersity, ζ-potential, and gel shift) are important to ensure their therapeutic potency, and new methods to optimize these characteristics are of significant importance to achieve the highest efficacy. In the present study, a simple segmented flow microfluidics system has been developed to augment mixing of pDNA/bPEI nanoparticles. This DNA and …
Identifying The Effects Of Unprocessed Let-7a-1 And Let-7a-3 In Non-Small Cell Lung Cancer, Hana Kubo, Phillip J. Mccown, Andrea L. Kasinski
Identifying The Effects Of Unprocessed Let-7a-1 And Let-7a-3 In Non-Small Cell Lung Cancer, Hana Kubo, Phillip J. Mccown, Andrea L. Kasinski
The Summer Undergraduate Research Fellowship (SURF) Symposium
MicroRNAs (miRNAs) are small, noncoding RNAs that regulate protein levels typically by interacting with the 3′ untranslated region (3′-UTR) of target messenger RNA (mRNAs) and are often aberrantly expressed in cancer. The let-7 miRNA family members are commonly regarded as cancer suppressors, by down-regulating the expression of oncoproteins such as RAS, HMGA2, and MYC. However, prior work indicates that unprocessed let-7 RNAs may be positively correlated with cancer phenotypes in lung cancer cell lines. Our study aims to identify the effects of unprocessed let-7a-1 and let-7a-3 in non-small cell lung cancer, by transfecting plasmids that express unprocessed let-7a-1 and let-7a-3 …
Automated Assessment Of Disease Progression In Acute Myeloid Leukemia By Probabilistic Analysis Of Flow Cytometry Data, Bartek Rajwa, Paul K. Wallace, Elizabeth A. Griffiths, Murat Dundar
Automated Assessment Of Disease Progression In Acute Myeloid Leukemia By Probabilistic Analysis Of Flow Cytometry Data, Bartek Rajwa, Paul K. Wallace, Elizabeth A. Griffiths, Murat Dundar
Bindley Publications
Objective: Flow cytometry (FC) is a widely acknowledged technology in diagnosis of acute myeloid leukemia (AML) and has been indispensable in determining progression of the disease. Although FC plays a key role as a post-therapy prognosticator and evaluator of therapeutic efficacy, the manual analysis of cytometry data is a barrier to optimization of reproducibility and objectivity. This study investigates the utility of our recently introduced non-parametric Bayesian framework in accurately predicting the direction of change in disease progression in AML patients using FC data. Methods: The highly flexible non-parametric Bayesian model based on the infinite mixture of infinite Gaussian …