Matching Items (15)
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Description
Pinpoint control over endogenous gene expression in vivo has long been a fevered dream for clinicians and researchers alike. With the recent repurposing of programmable, RNA-guided DNA endonucleases from the CRISPR bacterial immune system, this dream is becoming a powerful reality. Engineered CRISPR based transcriptional regulators have enabled researchers to

Pinpoint control over endogenous gene expression in vivo has long been a fevered dream for clinicians and researchers alike. With the recent repurposing of programmable, RNA-guided DNA endonucleases from the CRISPR bacterial immune system, this dream is becoming a powerful reality. Engineered CRISPR based transcriptional regulators have enabled researchers to perturb endogenous gene expression in vivo, allowing for the therapeutic reprogramming of cell and tissue behavior. However, for this technology to be of maximal use, a variety of technological hurdles still need to be addressed. Here, we discuss recent advances and integrative strategies that can help pave the way towards a new class of transcriptional therapeutics.
ContributorsPandelakis, Matthew (Author) / Ebrahimkhani, Mohammad (Thesis director) / Kiani, Samira (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
Ideas from coding theory are employed to theoretically demonstrate the engineering of mutation-tolerant genes, genes that can sustain up to some arbitrarily chosen number of mutations and still express the originally intended protein. Attention is restricted to tolerating substitution mutations. Future advances in genomic engineering will make possible the ability

Ideas from coding theory are employed to theoretically demonstrate the engineering of mutation-tolerant genes, genes that can sustain up to some arbitrarily chosen number of mutations and still express the originally intended protein. Attention is restricted to tolerating substitution mutations. Future advances in genomic engineering will make possible the ability to synthesize entire genomes from scratch. This presents an opportunity to embed desirable capabilities like mutation-tolerance, which will be useful in preventing cell deaths in organisms intended for research or industrial applications in highly mutagenic environments. In the extreme case, mutation-tolerant genes (mutols) can make organisms resistant to retroviral infections.

An algebraic representation of the nucleotide bases is developed. This algebraic representation makes it possible to convert nucleotide sequences into algebraic sequences, apply mathematical ideas and convert results back into nucleotide terms. Using the algebra developed, a mapping is found from the naturally-occurring codons to an alternative set of codons which makes genes constructed from them mutation-tolerant, provided no more than one substitution mutation occurs per codon. The ideas discussed naturally extend to finding codons that can tolerate t arbitrarily chosen number of mutations per codon. Finally, random substitution events are simulated in both a wild-type green fluorescent protein (GFP) gene and its mutol variant and the amino acid sequence expressed from each post-mutation is compared with the amino acid sequence pre-mutation.

This work assumes the existence of synthetic protein-assembling entities that function like tRNAs but can read k nucleotides at a time, with k greater than or equal to 5. The realization of this assumption is presented as a challenge to the research community.
ContributorsAmpofo, Prince Kwame (Author) / Tian, Xiaojun (Thesis advisor) / Kiani, Samira (Committee member) / Kuang, Yang (Committee member) / Arizona State University (Publisher)
Created2019
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Description
Extracellular Vesicles (EVs), particularly exosomes, are of considerable interest as tumor biomarkers since tumor-derived EVs contain a broad array of information about tumor pathophysiology including its metabolic and metastatic status. However, current EV based assays cannot distinguish between EV biomarker changes by altered secretion of EVs during diseased conditions like

Extracellular Vesicles (EVs), particularly exosomes, are of considerable interest as tumor biomarkers since tumor-derived EVs contain a broad array of information about tumor pathophysiology including its metabolic and metastatic status. However, current EV based assays cannot distinguish between EV biomarker changes by altered secretion of EVs during diseased conditions like cancer, inflammation, etc. that express a constant level of a given biomarker, stable secretion of EVs with altered biomarker expression, or a combination of these two factors. This issue was addressed by developing a nanoparticle and dye-based fluorescent immunoassay that can distinguish among these possibilities by normalizing EV biomarker level(s) to EV abundance, revealing average expression levels of EV biomarker under observation. In this approach, EVs are captured from complex samples (e.g. serum), stained with a lipophilic dye and hybridized with antibody-conjugated quantum dot probes for specific EV surface biomarkers. EV dye signal is used to quantify EV abundance and normalize EV surface biomarker expression levels. EVs from malignant (PANC-1) and nonmalignant pancreatic cell lines (HPNE) exhibited similar staining, and probe-to-dye ratios did not change with EV abundance, allowing direct analysis of normalized EV biomarker expression without a separate EV quantification step. This EV biomarker normalization approach markedly improved the ability of serum levels of two pancreatic cancer biomarkers, EV EpCAM, and EV EphA2, to discriminate pancreatic cancer patients from nonmalignant control subjects. The streamlined workflow and robust results of this assay are suitable for rapid translation to clinical applications and its flexible design permits it to be rapidly adapted to quantitate other EV biomarkers by the simple swapping of the antibody-conjugated quantum dot probes for those that recognize a different disease-specific EV biomarker utilizing a workflow that is suitable for rapid clinical translation.
ContributorsRodrigues, Meryl (Author) / Hu, Tony (Thesis advisor) / Nikkhah, Mehdi (Committee member) / Kiani, Samira (Committee member) / Smith, Barbara (Committee member) / Han, Haiyong (Committee member) / Arizona State University (Publisher)
Created2019
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Description
The CRISPR/Cas9 gene-editing tool is currently in clinical trials as the excitement about its therapeutic potential is exponentially growing. However, many of the developed CRISPR based genome engineering methods cannot be broadly translated in clinical settings due to their unintended consequences. These consequences, such as immune reactions to CRISPR, immunogenic

The CRISPR/Cas9 gene-editing tool is currently in clinical trials as the excitement about its therapeutic potential is exponentially growing. However, many of the developed CRISPR based genome engineering methods cannot be broadly translated in clinical settings due to their unintended consequences. These consequences, such as immune reactions to CRISPR, immunogenic adverse events following receiving of adeno-associated virus (AAV) as one of the clinically relevant delivery agents, and CRISPR off-target activity in the genome, reinforces the necessity for improving the safety of CRISPR and the gene therapy vehicles. Research into designing more advanced CRISPR systems will allow for the increased ability of editing efficiency and safety for human applications. This work 1- develops strategies for decreasing the immunogenicity of CRISPR/Cas9 system components and improving the safety of CRISPR-based gene therapies for human subjects, 2- demonstrates the utility of this system in vivo for transient repression of components of innate and adaptive immunity, and 3- examines an inducible all-in-one CRISPR-based control switch to pave the way for controllable CRISPR-based therapies.
ContributorsMoghadam, Farzaneh (Author) / Kiani, Samira (Thesis advisor) / LaBaer, Josh (Committee member) / Ebrahimkhani, Mo (Committee member) / Arizona State University (Publisher)
Created2020
Description
A genetically engineered line of human induced pluripotent stem cells was used to study the effects of gene expression on cell fate. These cells were designed to activate expression of the gene GATA6 when exposed to the small molecule doxycycline. This gene was chosen because it plays an

A genetically engineered line of human induced pluripotent stem cells was used to study the effects of gene expression on cell fate. These cells were designed to activate expression of the gene GATA6 when exposed to the small molecule doxycycline. This gene was chosen because it plays an important role in the developmental biology stages of liver formation. Because of the way the cells were engineered, a given population would have a heterogeneous expression of GATA6 because each cell could have a different copy number of the exogenous gene. This variation allows for the differentiation of multiple cell types, and is used to grow liver organoids. The early liver organoid samples were studied via immunofluorescent staining, imaging, and quantitative image analysis. It was originally hypothesized that absolute gene expression was not the most important factor in determining cell fate, but relative gene expression was. This meant that the spatial location of the cells and their local environment were critical in determining cell fate. In other words, the level of GATA6 of a cell is important, but so is the level of GATA6 in the surrounding cells, or neighborhood, of that cell. This hypothesis was analyzed with the creation of various Neighborhood Impact Factor (NIF) methods. Multiple time points of growth were analyzed to study the temporal effect, in addition to the gene expression and NIF influence on a cell’s fate. Direct gene expression level showed correlation with certain cell fate markers. In addition to GATA6 expression levels, NIF results from early and late time point experiments show statistical significance with relatively small neighborhood radii. The NIF analysis was useful for examining the effect of neighboring cells and determining the size of the neighborhood – how far cells influence one another. While these systems are complex, the NIF analysis provides a way to look at gene expression and its influence in spatial context.
ContributorsCarter, Shaylina Rae (Author) / Ebrahimkhani, Mohammad R (Thesis advisor) / Kiani, Samira (Thesis advisor) / Nikkhah, Mehdi (Committee member) / Arizona State University (Publisher)
Created2017