Jason H Yang

Jason H Yang
Rutgers New Jersey Medical School | UMDNJ · Microbiology Biochemistry and Molecular Genetics

Ph.D., Biomedical Engineering

About

31
Publications
8,893
Reads
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2,128
Citations
Citations since 2016
16 Research Items
1891 Citations
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20162017201820192020202120220100200300400
20162017201820192020202120220100200300400
20162017201820192020202120220100200300400
Additional affiliations
December 2014 - November 2019
Massachusetts Institute of Technology
Position
  • PostDoc Position
November 2012 - November 2014
Boston University
Position
  • PostDoc Position
September 2006 - November 2012
University of Virginia
Position
  • Research Assistant
Education
September 2006 - May 2012
University of Virginia
Field of study
  • Biomedical Engineering
September 2000 - May 2005
Johns Hopkins University
Field of study
  • Biomedical Engineering, Electrical Engineering

Publications

Publications (31)
Article
Full-text available
Significance The global burden of antibiotic resistance has created a demand to better understand the basic mechanisms of existing antibiotics. Of significant interest is how antibiotics may perturb bacterial metabolism, and how bacterial metabolism may influence antibiotic activity. Here, we study the interaction of bacteriostatic and bactericidal...
Article
Full-text available
Significance Substantial knowledge exists about how antibiotics interfere with core bacterial processes by binding to specific targets. Recently it has become appreciated that blocking these functions alters cellular redox state, and these perturbations may contribute to the lethality of antibiotics. In this work we explore whether antibiotic treat...
Article
Full-text available
Understanding how specific cyclic AMP (cAMP) signals are organized and relayed to their effectors in different compartments of the cell to achieve functional specificity requires molecular tools that allow precise manipulation of cAMP in these compartments. Here we characterize a new method using bicarbonate-activatable and genetically targetable s...
Article
Full-text available
While the biomarkers of COVID-19 severity have been thoroughly investigated, the key biological dynamics associated with COVID-19 resolution are still insufficiently understood. We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion. Following transfusion, the patient showed fever remission, improved respirato...
Article
Pharmacological agents exert their therapeutic effects by altering the biochemical activities of drug targets and, consequently, manipulating cell and organism physiology. A new study combines CRISPR interference with metabolomic profiling to rapidly elucidate drug mechanisms of action.
Preprint
Full-text available
Background: While the biomarkers of COVID-19 severity have been thoroughly investigated, the key biological dynamics associated with COVID-19 resolution are still insufficiently understood. Main body: We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion in a patient with underlying multiple autoimmune syn...
Preprint
Full-text available
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and m...
Preprint
Full-text available
Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the fiel...
Article
Full-text available
Staphylococcus aureus is an important pathogen that leads to high morbidity and mortality. Although S. aureus produces many factors important for pathogenesis, few have been validated as playing a role in the pathogenesis of S. aureus pneumonia. To gain a better understanding of the genetic elements required for S. aureus pathogenesis in the airway...
Article
Nucleotide metabolism plays a central role in bacterial physiology, producing the nucleic acids necessary for DNA replication and RNA transcription. Recent studies demonstrate that nucleotide metabolism also proactively contributes to antibiotic-induced lethality in bacterial pathogens and that disruptions to nucleotide metabolism contributes to an...
Article
The many roads to resistance Antibiotic resistance arising from mutation is common among pathogenic bacteria. However, this process is not well understood, and most of the mutations that have been identified to confer resistance do so by modification of the intracellular target or enzymes that can disable the antibacterial compound within the cell....
Article
Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the development of algorithms that learn how to accurately predict outcome variables using large sets of predictor variables that are typically not hand selected and are mini...
Article
Full-text available
Antimicrobial resistance is one of the largest looming threats to global health (Friedman et al., 2016), increasing the morbidity and mortality associated with bacterial infections (Ventola, 2015). ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter...
Article
Full-text available
Growth rate and metabolic state of bacteria have been separately shown to affect antibiotic efficacy1–3. However, the two are interrelated as bacterial growth inherently imposes a metabolic burden⁴; thus, determining individual contributions from each is challenging5,6. Indeed, faster growth is often correlated with increased antibiotic efficacy7,8...
Article
Current machine learning techniques enable robust association of biological signals with measured phenotypes, but these approaches are incapable of identifying causal relationships. Here, we develop an integrated "white-box" biochemical screening, network modeling, and machine learning approach for revealing causal mechanisms and apply this approac...
Article
Bactericidal antibiotics alter microbial metabolism as part of their lethality and can damage mitochondria in mammalian cells. In addition, antibiotic susceptibility is sensitive to extracellular metabolites, but it remains unknown whether metabolites present at an infection site can affect either treatment efficacy or immune function. Here, we qua...
Article
Full-text available
Antibiotic lethality is a complex physiological process, sensitive to external cues. Recent advances using systems approaches have revealed how events downstream of primary target inhibition actively participate in antibiotic death processes. In particular, altered metabolism, translational stress and DNA damage each contribute to antibiotic-induce...
Article
Full-text available
Significance Understanding the molecular basis of the lethality of antibiotics and certain other stresses is complicated because cell death can result from direct inhibition of a critical biological process as well as from reactive oxygen species (ROS) generated by events metabolically downstream of the direct interaction of the agent with its targ...
Article
Metabolically dormant bacteria present a critical challenge to effective antimicrobial therapy because these bacteria are genetically susceptible to antibiotic treatment but phenotypically tolerant. Such tolerance has been attributed to impaired drug uptake, which can be reversed by metabolic stimulation. Here, we evaluate the effects of central ca...
Article
β-adrenergic signaling is spatiotemporally heterogeneous in the cardiac myocyte, conferring exquisite control to sympathetic stimulation. Such heterogeneity drives the formation of protein kinase A (PKA) signaling microdomains, which regulate Ca(2+) handling and contractility. Here, we test the hypothesis that the nucleus independently comprises a...
Article
Sympathetic stimulation enhances cardiac contractility by stimulating β-adrenergic signaling and protein kinase A (PKA). Recently, phospholemman (PLM) has emerged as an important PKA substrate capable of regulating cytosolic Ca(2+) transients. However, it remains unclear how PLM contributes to β-adrenergic inotropy. Here we developed a computationa...
Article
Full-text available
Using eight newly generated models relevant to addiction, Alzheimer’s disease, cancer, diabetes, HIV, heart disease, malaria, and tuberculosis, we show that systems analysis of small (4–25 species), bounded protein signaling modules rapidly generates new quantitative knowledge from published experimental research. For example, our models show that...
Article
Cardiac signaling networks exhibit considerable complexity in size and connectivity. The intrinsic complexity of these networks complicates the interpretation of experimental findings. This motivates new methods for investigating the mechanisms regulating cardiac signaling networks and the consequences these networks have on cardiac physiology and...
Article
Full-text available
In his Presidential address (“A global perspective on science and technology,” 24 October 2008, p. [544][1]), D. Baltimore warned against erosion of U.S. leadership in the biological sciences, acknowledging the entire scientific community's lack of involvement and personal responsibility in our
Article
Full-text available
This study was undertaken to objectively compare delivery traction force, fetal neck rotation, and brachial plexus elongation after 3 different initial shoulder dystocia maneuvers: McRoberts', anterior Rubin's, and posterior Rubin's. We developed a laboratory birthing simulator comprised of a maternal model with a 3-dimensional bony pelvis, an inst...
Article
Full-text available
We report on the design, testing and implementation of a novel birthing simulator developed specifically to research the delivery process and improve clinical training in uncommon but inevitable complicated human births. The simulator consists of a maternal model and an instrumented fetal model, used in conjunction with an existing force-sensing sy...

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