Jeff Hasty

Dr. Jeff Hasty


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 March 2021 in Science
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GSGregory D. Sepich-Poore
Gregory D. Sepich-Poore
LZLaurence Zitvogel
Laurence Zitvogel
RSRavid Straussman
Ravid Straussman
JHJeff Hasty
Jeff Hasty
JWJennifer A. Wargo
Jennifer A. Wargo
RKRob Knight
Rob Knight
BACKGROUND: Historical accounts linking cancer and microbes date as early as four millennia ago. After establishment of the germ theory of infectious diseases, clinical research of microbial influences on cancer began in 1868, when William Busch reported spontaneous tumor regressions in patients with Streptococcus pyogenes infections. Over the next century, poor reproducibility, erroneous microbiological claims, and severe toxicity led many to discount the role of bacteria in carcinogenesis and cancer therapy. However, these studies provided the first crude demonstrations of cancer immunotherapy. Contemporaneously, the viral theory of cancer flourished, spurred by the 1911 discovery of Rous sarcoma virus, which transformed benign tissue into malignant tumors in chickens. The decades-long search to find viruses behind every human cancer ultimately failed, and many cancers have been linked to somatic mutations. Now the field is encountering intriguing claims of the importance of microbes, including bacteria and fungi, in cancer and cancer therapy. This Review critically evaluates this evidence in light of modern cancer biology and immunology, delineating roles for microbes in cancer by examining advances in proposed mechanisms, diagnostics, and modulation strategies. ADVANCES: Few microbes directly cause cancer, but many seem complicit in its growth, often acting through the host’s immune system; conversely, several have immunostimulatory properties. Mechanistic analyses of gut microbiota–immune system interactions reveal powerful effects on antitumor immunity by modulating primary and secondary lymphoid tissue activities. Many of these pathways invoke Toll-like receptor–initiated cytokine signaling, but microbial metabolic effects and antigenic mimicry with cancer cells are also important. In preclinical models, microbial metabolites also regulate phenotypes of tumor somatic mutations and modulate immune checkpoint inhibitor efficacy. Emerging evidence suggests that intratumoral bacteria exist and are active, with overlapping immunohistochemistry, immunofluorescence, electron microscopy, and sequencing data in ~10 cancer types. Preliminary studies further suggest that fungi and bacteriophages contribute to gastrointestinal cancers. However, the abundance of intratumoral microbial cells is low relative to cancer cells, and knowledge of their functional repertoire and potency remains limited. Further validation of their prevalence and impact is needed in diverse cohorts and therapeutic contexts. The immunomodulatory effects of host microbiota have reinvigorated efforts to change their composition as a form of immunotherapy. Despite extensive preclinical evidence, translation of microbiota modulation approaches into humans has not yet materialized into commercialized therapies. Synthetic biology approaches are also gaining traction, with engineered bacterial cancer therapies in preclinical and clinical trial settings. OUTLOOK: A better understanding of the roles of microbes in cancer provides an opportunity to improve each stage of the cancer care cycle, but major challenges remain. Concerted efforts to characterize cancer-associated microbiota among tumor, stool, and blood samples with gold-standard contamination controls would tremendously aid this progress. This would be analogous to The Cancer Genome Atlas’s role in characterizing the cancer somatic mutation landscape. Large-scale clinical trials are currently testing the efficacy of microbiota modulation approaches, ranging from dietary modifications to intratumorally injected, engineered bacteria. These bacterial cancer therapies, if safe and effective, could tremendously expand the cancer therapy armamentarium. Altogether, integrating the host-centric and microbial viewpoints of cancer may improve patient outcomes while providing a nuanced understanding of cancer-host-microbial evolution. Opportunities for microbes to affect cancer care.: Diagnosis: Cancer-specific, blood-borne microbial DNA may complement cell-free tumor DNA (ctDNA). Prognosis: Gut and intratumoral microbiota may stratify patient outcomes (NR, nonresponder; R, responder; TME, tumor microenvironment). Therapy: Intratumor injection of CD47 nanobody (CD47nb)–producing Escherichia coli may create systemic antitumor immunity by enhancing dendritic cell (DC) phagocytosis, lymph node (LN) antigen (Ag) presentation, and cytotoxic T lymphocyte (CTL) activity.

29 October 2008 in Nature
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JSJesse Stricker
Jesse Stricker
SCScott Cookson
Scott Cookson
MBMatthew Bennett
Matthew Bennett
WMWilliam H. Mather
William H. Mather
LTLev S. Tsimring
Lev S. Tsimring
JHJeff Hasty
Jeff Hasty

21 January 2010 in Nature
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Journal Article
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TDTal Danino
Tal Danino
OMOctavio Mondragón-Palomino
Octavio Mondragón-Palomino
LTLev Tsimring
Lev Tsimring
JHJeff Hasty
Jeff Hasty
The engineering of genetic circuits with predictive functionality in living cells represents a defining focus of the expanding field of synthetic biology. This focus was elegantly set in motion a decade ago with the design and construction of a genetic toggle switch and an oscillator, with subsequent highlights that have included circuits capable of pattern generation, noise shaping, edge detection and event counting. Here we describe an engineered gene network with global intercellular coupling that is capable of generating synchronized oscillations in a growing population of cells. Using microfluidic devices tailored for cellular populations at differing length scales, we investigate the collective synchronization properties along with spatiotemporal waves occurring at millimetre scales. We use computational modelling to describe quantitatively the observed dependence of the period and amplitude of the bulk oscillations on the flow rate. The synchronized genetic clock sets the stage for the use of microbes in the creation of a macroscopic biosensor with an oscillatory output. Furthermore, it provides a specific model system for the generation of a mechanistic description of emergent coordinated behaviour at the colony level.

20 July 2016 in Nature
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MDM. Omar Din
M. Omar Din
TDTal Danino
Tal Danino
APArthur Prindle
Arthur Prindle
MSMatt Skalak
Matt Skalak
JSJangir Selimkhanov
Jangir Selimkhanov
JHJeff Hasty
Jeff Hasty
Clinically relevant bacteria have been engineered to lyse synchronously at a threshold population density and release genetically encoded therapeutics; treatment of mice with these bacteria slowed the growth of tumours. There is growing interest in using bacteria as living therapeutics, although the complications due to host responses and long-term effectiveness remain to be established. Omar Din et al. have now engineered a quorum-sensing clock into a strain of Salmonella known to target solid tumours by releasing a tumour-targeting toxin. The clock drives periodic lyses of the bacterial colony, thereby controlling the bacterial population and ensuring sustained anti-tumour toxin delivery in a mouse cancer model. Although the system as it stands does not represent an effective cure, this work indicates that synthetic biology can be harnessed to achieve dynamic and sustained delivery of therapeutics in vivo. The widespread view of bacteria as strictly pathogenic has given way to an appreciation of the prevalence of some beneficial microbes within the human body1,2,3. It is perhaps inevitable that some bacteria would evolve to preferentially grow in environments that harbour disease and thus provide a natural platform for the development of engineered therapies4,5,6. Such therapies could benefit from bacteria that are programmed to limit bacterial growth while continually producing and releasing cytotoxic agents in situ7,8,9,10. Here we engineer a clinically relevant bacterium to lyse synchronously at a threshold population density and to release genetically encoded cargo. Following quorum lysis, a small number of surviving bacteria reseed the growing population, thus leading to pulsatile delivery cycles. We used microfluidic devices to characterize the engineered lysis strain and we demonstrate its potential as a drug delivery platform via co-culture with human cancer cells in vitro. As a proof of principle, we tracked the bacterial population dynamics in ectopic syngeneic colorectal tumours in mice via a luminescent reporter. The lysis strain exhibits pulsatile population dynamics in vivo, with mean bacterial luminescence that remained two orders of magnitude lower than an unmodified strain. Finally, guided by previous findings that certain bacteria can enhance the efficacy of standard therapies11, we orally administered the lysis strain alone or in combination with a clinical chemotherapeutic to a syngeneic mouse transplantation model of hepatic colorectal metastases. We found that the combination of both circuit-engineered bacteria and chemotherapy leads to a notable reduction of tumour activity along with a marked survival benefit over either therapy alone. Our approach establishes a methodology for leveraging the tools of synthetic biology to exploit the natural propensity for certain bacteria to colonize disease sites.

14 November 2002 in Nature
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JHJeff Hasty
Jeff Hasty
DMDavid R. McMillen
David R. McMillen
JCJ. J. Collins
J. J. Collins

30 September 2005 in Proceedings of the National Academy of Sciences
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Journal Article
Closed access
DBDmitry Bratsun
Dmitry Bratsun
DVDmitri Volfson
Dmitri Volfson
LTLev S. Tsimring
Lev S. Tsimring
JHJeff Hasty
Jeff Hasty
The small number of reactant molecules involved in gene regulation can lead to significant fluctuations in intracellular mRNA and protein concentrations, and there have been numerous recent studies devoted to the consequences of such noise at the regulatory level. Theoretical and computational work on stochastic gene expression has tended to focus on instantaneous transcriptional and translational events, whereas the role of realistic delay times in these stochastic processes has received little attention. Here, we explore the combined effects of time delay and intrinsic noise on gene regulation. Beginning with a set of biochemical reactions, some of which are delayed, we deduce a truncated master equation for the reactive system and derive an analytical expression for the correlation function and power spectrum. We develop a generalized Gillespie algorithm that accounts for the non-Markovian properties of random biochemical events with delay and compare our analytical findings with simulations. We show how time delay in gene expression can cause a system to be oscillatory even when its deterministic counterpart exhibits no oscillations. We demonstrate how such delay-induced instabilities can compromise the ability of a negative feedback loop to reduce the deleterious effects of noise. Given the prevalence of negative feedback in gene regulation, our findings may lead to new insights related to expression variability at the whole-genome scale.