Abstract
Theses reviewed in this issue include Characterization and Modeling of Metabolic Stress Responses in Cellular Aging; Engineering Immunity: Enhancing T Cell Vaccines and Combination Immunotherapies for the Treatment of Cancer; Extracellular Inflammatory Signaling from Dysfunctional Telomeres; High-Throughput Microfluidic Labyrinth for the Label-Free Isolation of circulating tumor cells for Single-Cell Gene Expression Profiling; Oxygen Nanobubbles for Ultrasound-guided Targeting of Cancer Hypoxia; and The Eye as a Window to the Alzheimer's Disease Brain.
In this column, we continue the series, begun in issue 10(1), of surveys highlighting a small selection of recently completed doctoral theses with particular relevance to the fields covered by Rejuvenation Research. 1 –10 While it has become common for thesis work to appear in the general academic literature, it remains valuable to scan the thesis databases for important advances that one might otherwise overlook.
Characterization and Modeling of Metabolic Stress Responses in Cellular Aging
David Alfego, PhD, Drexel University
Cellular aging describes the buildup of changes over time that affect normal mechanisms of cells, tissues and organisms throughout their lifespan, which can lead to any number of potential health risks, diseases or other disorders. One of the major causes of these changes is declining mitochondrial function, though the cause of this energy stress is still debated. The prevailing experimental model for aging studies examines cells in a senescent state as the hallmark of aging. Yet this permanent, post-mitotic phase is more commonly observed in vitro. Aged cells in vivo often retain their mitotic potential, indicative of a paused, quiescent state. This thesis proposes a new platform to study aging through perturbations of mitochondrial function via an experimental energy restriction in quiescence (ERiQ) model that may be more relevant to aging in tissues. This model causes adaptive changes in major stress response pathways for AKT, NF-κB, p53 and mTOR as a reaction to reduced ATP, NAD+ and NADP levels. The construction of a theoretical computational model, complementary to the experimental model, is based on feedback motifs that investigate the interplay between those key stress response pathways. The in silico model demonstrates adaptations to sudden energetic perturbations, promoting pro-survival phenotypes and recovery. This thesis hypothesizes that the very same survival mechanisms are chronically activated during aging, but also cause conflicting responses that actively suppress mitochondrial function to contribute to a lockstep progression of decline. The model makes predictions consistent with inhibitory and gain-of-function experiments in aging.
The relevance of ERiQ as a model to study aging is further emphasized by a transcription factor (TF) meta-analysis of gene expression datasets accrued from 18 tissues from individuals at different biological ages, which were compared to 7 different experimental platforms. Experimental datasets included replicative senescence and ERiQ, in which ATP was transiently reduced. TF motifs in promoter regions of trimmed sets of target genes were scanned using JASPAR and TRANSFAC motifs and TF signatures established a global mapping of agglomerating motifs with distinct clusters when ranked hierarchically. Remarkably, the majority of in vivo aged tissues correlated with the ERiQ profile instead of senescence, confirming its relevance as a new experimental model. Fitting motifs in a minimalistic protein-protein interaction (PPI) network model allowed us to probe for connectivity to distinct stress sensors, as well as identify novel targets of study in transcription factors that significantly switch enrichment between ERiQ and senescence. In the PPI, DNA damage sensors ATM and ATR linked to one subnetwork associated with senescence. By contrast, energy sensors PTEN and AMPK connected to the nodes in the ERiQ subnetwork. These data suggest that energy deprivation may be linked to transcriptional patterns characteristic of many aged tissues distinct from cumulative DNA damage associated with senescence. Finally, this thesis exemplifies the combined use of the predictive power of the computational model with experimental investigation in vitro. Preliminary experiments show how the model can be refined to reflect how certain conditions may alter metabolic output and offer intriguing insights into the future of cellular aging studies.
Engineering Immunity: Enhancing T Cell Vaccines and Combination Immunotherapies for the Treatment of Cancer
Kelly Moynihan, PhD, Massachusetts Institute of Technology
Checkpoint blockade with antibodies against CTLA-4 or PD-1 has demonstrated that an endogenous adaptive immune response can be stimulated to elicit durable tumor regressions in metastatic cancer, but these dramatic responses are confined to a minority of patients. This outcome is likely due in part to the complex network of immunosuppressive pathways present in advanced tumors, which necessitates the development of novel therapeutics and combination immunotherapies to generate a counter-directed network of pro-immunity signals. In Chapters 2 and 3 of this thesis, we describe methods for enhancing T cell priming against tumor antigens via covalent modification of molecular vaccines to enhance lymphatic drainage, serum stability, or cytosolic access to improve presentation on MHC class I. In Chapter 4, we demonstrate a combination immunotherapy that recruits a diverse set of innate and adaptive effector cells, enabling robust elimination of large tumor burdens that to my knowledge have not previously been curable by treatments relying on endogenous immunity. Maximal anti-tumor efficacy required four components: a tumor antigen targeting antibody, an extended half-life interleukin-2 (IL-2), antiPD-1, and a powerful T cell vaccine. This combination elicited durable cures in a majority of animals, formed immunological memory in multiple transplanted tumor models, and induced sustained tumor regression in an autochthonous BRrafvs00E/Pten melanoma model. Finally, in Chapter 5, we show preliminary data on combination immunotherapies used to treat antigenically heterogeneous tumors. Taken together, these data define design criteria for enhancing the immunogenicity of molecular vaccines and elucidate essential characteristics of combination immunotherapies capable of curing a majority of tumors in experimental settings typically viewed as intractable.
Extracellular Inflammatory Signaling from Dysfunctional Telomeres
Zhuo Wang, PhD, University of the Sciences in Philadelphia
Telomere dysfunction describes the catastrophic damage at telomeres, which often leads to genomic instability at the cellular level. There is rising evidence showing that telomere dysfunction also influences the extracellular environment with the inflammatory response. However, little is known about the molecular mechanism of this dysfunctional telomere-associated inflammation. In this dissertation, we identified extracellular forms of Telomeric repeat-containing RNA (TERRA), and demonstrated it might play a role in mediating the crosstalk of telomere dysfunction and inflammation. We found this cell-free TERRA (cfTERRA) is present in mouse tumor and embryonic brain tissue, as well as in human tissue culture cell lines using RNA in situ hybridization. RNA-seq analyses revealed TERRA to be among the most highly represented transcripts in extracellular fractions derived from both normal and cancer patient blood plasma. By characterizing extracellular fractions of the human lymphoblastoid cell line culture media, cfTERRA is shown as a shorter form (∼200 nt) of cellular TERRA and co-purifies with CD63- and CD81-positive exosome vesicles that could be visualized by cryo-electron microscopy. Mass spectrometry and extracellular chromatin immunoprecipitation (ChIP) assays revealed that regular cfTERRA was physically interacting with histones and telomeric DNA. Incubation of cfTERRA-containing exosomes with peripheral blood mononuclear cells (PBMCs) stimulated transcription of several inflammatory cytokine genes, including TNFα, IL-6, and C-X-C chemokine 10 (CXCL10). Exosomes engineered with elevated TERRA or liposomes with synthetic TERRA further stimulated inflammatory cytokines, suggesting that exosome-associated TERRA augments innate immune signaling. The levels of cfTERRA and DNA damage marker γH2AX were increasingly incorporated into the exosomes during telomere dysfunction. These dysfunctional telomere-derived exosomes activated a more robust transcription of inflammatory cytokines in PBMCs. These findings imply a previously unknown extrinsic function of TERRA and a potentially molecular mechanism of communication between telomeres and innate immune signaling in tissue and tumor microenvironments.
High-Throughput Microfluidic Labyrinth for the Label-Free Isolation of Circulating Tumor Cells for Single-Cell Gene Expression Profiling
Eric Lin, PhD, University of Michigan
Circulating tumor cells (CTCs) present in the blood are the seeds of metastasis and are of high biological and clinical relevance. Single-cell technologies are playing an increasing role in profiling CTCs in the peripheral blood for detection and real time monitoring of cancer metastasis. CTCs also help in identifying distinct drivers of metastasis. However, current approaches are limited to subjective selection of CTCs based on biomarkers, which hinders the unbiased comprehensive study of CTCs on a single cell level. We present a unique label-free microfluidic “Labyrinth” device to isolate CTCs at a high throughput of 2.5 mL of blood per minute, offering the first biomarker independent single cell isolation and genomic characterization platform to study heterogeneous CTC subpopulations in cancer patients. The Labyrinth takes advantage of inertial forces on the microscale in curved geometries to differentially focus cells based on the size difference between CTCs (15–25 μm) and blood cells (2–12 μm). This novel strategy of multi-course path traversing across inner loops to outer loops yielding highest hydrodynamic path length enabling focusing of both CTCs and white blood cells (WBCs) differentially, leading to high recoveries (>90%) and efficient separation of WBCs from CTCs, resulting in high purity of CTCs in the final product (∼600 contaminating WBCs per mL remained), even in whole blood samples without any pre-processing. CTCs were successfully isolated from 56 breast cancer (9.1 CTCs/mL average, range 2–31/mL) and 20 pancreatic cancer (51.6 CTCs/mL average, range 11–115/mL) patients. We detected not only CTCs typically defined by epithelial markers, but also significant numbers of CTCs (>50%) lacking epithelial markers but expressing mesenchymal and cancer stem cell markers. Patient samples were then analyzed using single cell multiplex gene expression. Seventy single cells were successfully recovered and used to identify different subpopulations of CTCs based on their genetic signature, unlike other methods where a positive or negative selection based on protein expression is used. Interestingly, both inter- and intra-patient molecular heterogeneity at the single cell level in CTCs were observed with cells expressing genes uniquely related to epithelial, mesenchymal-epithelial transition, and epithelial-mesenchymal transition phenotypes. The Labyrinth platform allows a thorough molecular understanding of the heterogeneity among CTCs. This platform also shows CTCs potential as a biomarker to non-invasively evaluate tumor progression and response to treatment in cancer patients.
As a truly biomarker free isolation platform, Labyrinth is also adopted for the isolation of CTCs from various types of cancers, including but not limited to adenoid cystic carcinoma, hepatocellular carcinoma, and lung cancer. Besides enumeration, the isolated CTCs were used in a wide range of studies, such as ex vivo culture of live CTCs from pancreatic patients and generating xenograft tumor model in mice. Beyond CTC isolation, Labyrinth was applied in the study of skeletal muscle satellite cells in collaboration with Dr. Brian C. Syverud and Prof. Lisa M. Larkin.
All in all, Labyrinth device offers a microfluidic technology to address the need for efficient isolation of rare cells and enables downstream studies on the target cells.
Oxygen Nanobubbles for Ultrasound-Guided Targeting of Cancer Hypoxia
Pushpak Bhandari, PhD, Purdue University
The effective targeting of hypoxia remains one of the most important and unsolved problems in cancer therapy. Hypoxia has been shown to correlate with significant unfavorable prognosis in several types of cancer. Hypoxia-adaptive pathways effect cellular and epigenetic changes in the tumor. Here, oxygen nanobubbles (ONBs) were designed to target the hypoxic tumor regions. Through in vitro and in vivo studies, we established the potential of ONBs in enhancing ultrasound imaging contrast, perturbing the microenvironment and epigenetic status of the hypoxic cell, and acting as in vitro and ex vivo hyperspectral imaging agents.
The first part of my thesis focuses on the development of ONBs to help regulate the epigenetic state and hypoxia-adaptive pathways of the tumor cell. Our technique enables us to significantly halt tumor progression and monitor the tumor using ultrasound and fluorescence imaging in vivo. Next, ONBs were utilized in increasing the efficacy of conventional methylating chemotherapeutic, temozolomide, for enhanced bladder cancer therapy. In the third chapter of this dissertation, ONBs were precisely delivered to orthotopic bladder cancer tumors in mice using Doppler ultrasound. It was found that ONB uptake in tumors can be significantly enhanced using ultrasound guiding. Further, reoxygenation because of ONBs led to enhanced efficacy of a conventional chemotherapeutic, mitomycin-C, in mice models. The fourth chapter of this dissertation focuses on the application of ONBs in dark-field microscopy to enable quantitative imaging and dynamic detection of the nanoparticles, in vitro and ex vivo. Finally, parameters are established to scale-up ONBs for evaluation in pet dogs with naturally-occurring urothelial carcinoma.
The Eye as a Window to the Alzheimer's Disease Brain
Fred Souza, PhD, The University of Alabama at Birmingham
Alzheimer's disease (AD) is a debilitating, and the most prevalent, type of dementia that is manifested by cognitive deficits, anomalous protein metabolism, cell loss, and pathological alterations in several neurotransmitter systems, particularly the cholinergic and glutamatergic systems. Moreover, AD is associated with visual deficits that have been reported to occur even in the early stages of the disease and may precede conspicuous cognitive impairment. To date, the underlying causes of the visual deficits and whether they stem from retinal or cortical abnormalities remain poorly understood. The following studies aimed at establishing whether the pathological changes observed in the cerebrum are also present in the retina and assessing AD's influence in retina's physiological responses. We used quantitative polymerase chain reaction and immunohistochemistry to assess changes in acetylcholine receptor (AChR) gene expression, gliosis, retinal cell number in the Tg-SwDI mouse model as compared to age-matched wild-type (WT). Young adults and middle-aged adults Tg-SwDI mice exhibited initial upregulation of AChR gene expression, but downregulation in old adults. Furthermore, young adult transgenic mice displayed significant cell loss in the inner retina and photoreceptor layer. Middle-aged adult and old adult mutants exhibited increased astrocytic gliosis and cholinergic cell loss. Electroretinography (ERG) was employed to measure the amplitude and implicit time of retinal responses from TgF344-AD rat model and age-matched WT at 9 and 16 months of age. Nine-month mutants exhibited higher responses from several retinal cells, but lower responses from off bipolar cells and Müller cells. Sixteen-month TgF344-AD rats displayed lower scotopic critical flicker fusion threshold and photoreceptor responses, and slower implicit time for on bipolar cell responses, at several light intensities. These data collectively indicate that AD-related changes observed in the cerebrum are also present in the retina and may be, at least in part, responsible for the visual deficits associated with the disease. Furthermore, we demonstrated that AD pathology affects retinal cells' physiological responses and that ERG can be employed as a suitable means to detect AD-related visual changes to ultimately serve as an efficacious diagnostic tool to identify the disease in its earlier stages, thus improving treatment efficacy.
