Abstract

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CO2/HCO3 −/pH Sensing Soluble Adenylyl Cyclase Regulates Lysosomal pH
Nawreen Rahman, PhD, Weill Medical College of Cornell University
Lysosomes, the degradative organelle of the endocytic and autophagic pathways, function at an acidic pH, but the molecular processes that determine lysosomal pH are not understood. In particular, no lysosomal pH-sensitive signaling enzymes have yet been identified. Here we show genetically and pharmacologically that in the absence of bicarbonate (HCO3 − )-regulated soluble adenylyl cyclase (sAC), lysosomes fail to properly acidify leading to accumulation of autophagic vacuoles (AVs). Due to the ubiquitous presence of carbonic anhydrases (CAs), which instantaneously equilibrate carbon dioxide (CO2), HCO3 − , and intracellular pH (pHi), sAC serves as a physiological sensor of HCO3 − , CO2, and pHi. We show that the sAC role in lysosomal acidification is dependent on its regulation by intracellular HCO3 − in a CA-dependent manner, consistent with sAC serving as a pH sensor regulating lysosomal pH. Thus, sAC is the first, and thus far only known, pH-regulated signaling enzyme that affects lysosomal pH. Because intracellular vesicles such as lysosome are functionally dependent on acidification, this work has broad implications.
Engineering Hypertrophic Chondrocyte-Based Grafts for Enhanced Bone Regeneration
Jonathan Bernhard, PhD, Columbia University
Bone formation occurs through two ossification processes, intramembranous and endochondral. Intramembranous ossification is characterized by the direct differentiation of stem cells into osteoblasts, which then create bone. Endochondral ossification involves an intermediate step, as stem cells first differentiate into chondrocytes and produce a cartilage anlage. The chondrocytes mature into hypertrophic chondrocytes, which transform the cartilage anlage into bone. Bone tissue engineering has predominantly mimicked intramembranous ossification, creating osteoblast-based grafts through the direct differentiation of stem cells. Although successful in specific applications, greater adoption of osteoblast-based grafts has failed due to incomplete integration, limited regeneration, and poor mechanical maintenance. To overcome these obstacles, inspiration was drawn from native bone fracture repair, creating tissue-engineered bone grafts replicating endochondral ossification.
Hypertrophic chondrocytes, the key cell in endochondral ossification, were differentiated from mesenchymal stem cell sources by first generating chondrocytes and then instigating maturation to hypertrophic chondrocytes. Conditions influencing this differentiation were investigated, indicating the necessity of prolonged chondrogenic cultivation and elevated oxygen concentrations to ensure widespread hypertrophic maturation. Comparing the bone production performance of differentiated hypertrophic chondrocytes to differentiated osteoblasts revealed that hypertrophic chondrocytes deposit significantly greater volume of bone mineral at a higher density than osteoblasts, albeit in a more juvenile form. When implanted subcutaneously, the hypertrophic chondrocytes stimulated turnover of this juvenile template into compact-like bone, whereas osteoblasts proceeded with processes similar to bone remodeling, generating spongy-like bone. Implanting these tissue-engineered constructs into an orthotopic, critical-sized femoral defect saw hypertrophic chondrocyte-based constructs integrate quickly with the femur and facilitate the creation of significantly more bone, resulting in a successful bridging of the defect. The success of hypertrophic chondrocyte-based grafts in overcoming the failures of tissue-engineered bone grafts demonstrates the potential of endochondral ossification-inspired bone strategies and prompts its further investigation towards clinical utilization.
Expanding the Accuracy, Resolution, and Breadth of Cell-Free DNA Investigation
Matthew Snyder, PhD, University of Washington
When cells die, they do not simply vanish without a trace. Instead, they leave behind fingerprints of their genetic and epigenetic identities in the form of cell-free DNA (cfDNA), or the scant amount of highly fragmented DNA circulating in human plasma. As the detritus of apoptotic and necrotic cell death in multiple tissues throughout the body, this class of molecule serves as a powerful biomarker for noninvasive detection and monitoring of disease processes and physiological conditions, including pregnancy, organ transplantation, and a growing number of cancers.
Despite this promise, current methods for interrogating cfDNA are challenged by limited resolution, imperfect accuracy, and constrained breadth. Taken as a whole, these factors restrict the set of conditions that might in principle be detected or monitored with this molecular evidence. In this dissertation, I directly address these limitations with the goal of expanding the scope and precision of the “liquid biopsy,” or the noninvasive monitoring of health status through cfDNA analysis.
I first address the limited resolution of cfDNA testing in the context of pregnancy by developing statistical methods for inference of the entire fetal genome at the single-nucleotide level, including both inherited and de novo variation. I show that the use of parental haplotypes and maternal cfDNA in a hidden Markov model can yield highly accurate prediction of inherited fetal genotypes. I next determine that the length of parental haplotype blocks is a key parameter driving the prediction accuracy, and demonstrate a method for increasing block length and downstream inference. I explain how these approaches, coupled with improved methods for detection of de novo variation, open the door to a single, noninvasive test with the possibility of prenatal detection of more than 3000 highly penetrant single-gene disorders.
I next demonstrate a method for improving the accuracy and positive predictive value (PPV) of noninvasive screening for fetal aneuploidy. In the most popular screening methodologies, PPVs of cfDNA-based tests are limited by a combination of the low incidence of trisomic pregnancies and the small number of false-positive tests, in which truly euploid pregnancies are incorrectly classified as aneuploid. I investigate the causes of false-positive test results in a small cohort and determine that maternal copy-number variants (CNVs) substantially contribute to the burden of spurious findings. I further develop a statistical framework for quantifying the likely impact of maternal CNVs by size and tested chromosome. I then propose a straightforward method for addressing this analytical limitation and improving test accuracy.
Finally, I develop a new approach to disentangle the various tissues or cell types contributing to cfDNA in a biological sample, potentially expanding the breadth of physiological conditions that can be monitored in this way. Here, I show that the locations of cfDNA fragment endpoints evidence the positions of proteins on the DNA in vivo in the contributing cells, and use these endpoints to infer the spacing of nucleosomes and transcription factors genome wide. I demonstrate that these positions correlate with gene expression profiles and use these data to model cell-type contributions in healthy individuals, where the expected myeloid and lymphoid cell lineages are recovered. I then apply this analytical framework to a cohort of individuals with advanced cancers and recover the tissue-of-origin of the primary tumor for a subset of the cancers.
Histochemical Markers of Myelin Damage and Impaired Remyelination in the Aging Rhesus Monkey Brain: Relationship to Cognitive Performance
Larissa Estrada, PhD, Boston University
Myelin damage is known to increase in the normal aging brain and to correlate with age-related cognitive decline. While the causes of increased myelin damage are unknown, here we consider whether the brain's innate capacity for remyelination diminishes with age and hence could contribute to myelin damage through slow accumulation of myelin defects. Maintenance and repair of myelin depend on oligodendroglia precursor cells (OPCs), which must differentiate into a sufficient number of healthy mature oligodendroglia (oligos), the myelinating cell of the brain. The extracellular matrix molecule hyaluronic acid (HA) has been shown to inhibit maturation of OPCs into mature myelinating oligos. The present study examined aging changes in myelination using four markers: the damaged myelin basic protein (dMBP) antibody, a histochemical reaction to stain HA, and immunohistochemistry for OPCs and mature oligos. These markers were quantified using cell density (oligos and OPCs), percent area stained (HA and dMBP), and fluorescence intensity (HA and dMBP). Relationships between these markers, age, and behavioral measures of cognitive function were investigated using single and multiple regression analyses. Results showed that in the corpus callosum and cingulum bundle of the rhesus monkey, staining for dMBP as a marker of myelin damage strongly correlated with increases in HA. The increase in HA in the cingulum bundle correlated positively with age. OPC density increased with age in both the cingulum bundle and corpus callosum. Mature oligo density did not change significantly with age, but approached a significant increase in the cingulum and approached a significant decrease in the corpus callosum. The increase in OPC density correlated positively with both HA and dMBP in the cingulum bundle. These data are consistent with the hypothesis that HA accumulation contributes to myelin damage by inhibiting the differentiation of OPCs into mature oligodendrocytes, diminishing the brain's innate capacity for remyelination with age.
Mitochondrial Oxidative Stress and Antioxidant Therapy in Arterial Aging
Rachel Gioscia-Ryan, PhD, University of Colorado at Boulder
Advancing age is a primary risk factor for cardiovascular diseases (CVD), due primarily to development of age-related arterial dysfunction, including arterial endothelial dysfunction and stiffening of large elastic arteries. A key cellular mechanism underlying age-related arterial dysfunction is oxidative stress, a state in which cellular production of reactive oxygen species (ROS) such as superoxide exceeds endogenous antioxidant defense capabilities.
Vascular mitochondria are emerging as critical regulators of arterial function. Vascular mitochondria produce physiological levels of ROS (mtROS) for signaling, but mitochondrial dysfunction is characterized by excessive mtROS production. Thus, vascular mitochondria represent a key potential source of arterial oxidative stress; however, the role of mtROS in age-related arterial dysfunction has been unknown. Accordingly, the purpose of this dissertation was to determine the role of mitochondria-derived oxidative stress in arterial aging and to investigate the therapeutic potential of a mitochondria-targeted antioxidant, MitoQ, to ameliorate age-related arterial dysfunction.
In arteries of old mice, mitochondrial superoxide production was ∼3 times greater than in arteries of young mice, and this was associated with arterial endothelial dysfunction, measured as a reduction in nitric oxide-mediated endothelium-dependent dilation (EDD). Acute, ex vivo application of MitoQ to reduce mitochondrial oxidative stress abolished the age-associated impairment in EDD. Moreover, chronic, in vivo MitoQ supplementation (4 weeks in drinking water) in old mice completely restored EDD to levels similar to those of young mice, accompanied by normalization of age-related alterations in protein markers of mitochondrial health measured in whole arteries.
Arterial aging in mice was also characterized by elevated large elastic artery stiffness, assessed in vivo as aortic pulse-wave velocity (aPWV). MitoQ supplementation in old mice reduced aPWV to levels similar to those of young mice and this was at least partially mediated by attenuation of the age-related reduction in arterial elastin content.
Together, these results indicate that mitochondrial oxidative stress is a key mechanism underlying age-related arterial dysfunction. These studies demonstrate that reducing mitochondrial oxidative stress with the targeted antioxidant MitoQ restores EDD and reduces arterial stiffness in old mice, underscoring the therapeutic potential for mitochondria-targeted strategies to reduce mitochondrial oxidative stress, improve arterial function, and reduce CVD risk in humans.
Rational Drug Combinations Design Against Intratumoral Heterogeneity and Clonal Evolution
Boyang Zhao, PhD, Massachusetts Institute of Technology
Cancer is a clonal evolutionary process. This results in complex clonal architecture and intratumoral heterogeneity in each patient. This also presents challenges for effective therapeutic intervention—with constant selective pressure to induce or select pre-existing resistant subclones toward drug resistance. Mathematical/computational modeling from population genetics, evolutionary dynamics, and engineering are being utilized to a greater extent in recent times to study tumor progression, intratumoral heterogeneity, drug resistance, and rational drug scheduling/combinations design. In this thesis, we present several joint quantitative and experimental approaches for the rational design of drug combinations to tackle the issue of intratumoral heterogeneity and clonal evolution.
Using a tractable experimental system with predefined tumor compositions, we derived computational approaches to rationally design drug combinations with the goal of minimizing a given heterogeneous tumor. We found that the best drug combinations can oftentimes be nonintuitive as they do not contain component drugs most effective for the individual subpopulations. This was the result of a need for combinatorial considerations on the effects of each drug on all subpopulations, hence at times leading to nonintuitive drug regimens. We validated our computational model predictions in vitro and in vivo in a preclinical model of Burkitt's lymphoma, with predictable evolutionary trajectories on treatment. Next, we extended this methodology to study the effects of more complex tumor heterogeneity on combinatorial drug design, with similar conclusions. Sampling and statistical analyses over a range of tumor compositions can further inform effective drug combinations under some uncertainty in initial tumor heterogeneity. Moving beyond a model where we have control of initial tumor composition, we sought to examine collateral resistance and sensitivity during clonal evolution. Using a murine model of Ph+ acute lymphoblastic leukemia, we performed drug selection and pharmacological screen experiments. We observed important evolutionary processes of selection and drift in giving rise to resistance to clinically used BCR-ABL1 inhibitors. Remarkably, the resistant population also became hypersensitized to nonclassical BCR-ABL1 inhibitors at intermediate stages of the clonal evolution, in this so-called temporally collateral sensitivity. Mathematical modeling and experimentation brought additional insight into the evolutionary dynamics and mechanism of action, with demonstrated in vivo efficacy.
These quantitative approaches, complemented with extensive experimentation, facilitate a principled approach to our understanding of making forward predictions that directly inform therapeutic drug regimen designs.
Technology Development in Mouse Genetics and Epigenetics
Chikdu Shivalila, PhD, Massachusetts Institute of Technology
The importance and significance of a model organism in biological research cannot be overstated. The mouse, in particular, has been very useful in understanding questions in many areas of research such as developmental biology, cancer biology, neuroscience, and genetics. However, even though the methods to make transgenic mice and gene knockin and knockouts have been successful, they are very inefficient, labor intensive, and costly. Therefore, in this thesis, we developed a novel methodology to rapidly and efficiently modify the mouse genome. Using CRISPR/Cas9, a novel genome-engineering technology developed from bacteria, we were able to genetically modify mouse embryonic stem cells and make mice that carried genetic modification by zygotic injections. Using CRISPR/Cas9, we were able to make mice in as little as three weeks that contained multiple gene knockouts, single-nucleotide modifications, GFP and mCherry reporter alleles, epitope-tagged alleles, and conditional alleles.
Another interesting area of research in mouse genetics is epigenetic regulation, specifically how DNA methylation regulates development, gene expression, and cell state. Multiple studies have shown that this epigenetic modification plays an important regulatory role in these processes; however, the technology that has existed so far to investigate DNA methylation has only been able to look at snapshots of methylation patterns in fixed cell populations. In this thesis, we have developed a novel technology named Reporter of Genomic Methylation (RGM), which allows for the investigation of methylation dynamics at a single-cell resolution in vivo. The RGM technology was developed using a minimal synthetic secondary DMR promoter that drives the expression of a florescent protein. Using CRISPR/Cas9, the RGM reporter can be integrated into any genomic locus, where it can report on the methylation state of its surroundings. We further show that the RGM reporter activity reflects the methylation state of noncoding regulatory elements such as promoters and enhancers. Furthermore, we show that the RGM technology allows for the dynamics of methylation and demethylation to be observed at these noncoding loci, as cells transition between a pluripotent and differentiated state.
Footnotes
Author Disclosure Statement
No competing financial interests exist.
