​PUBLICATIONS

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Our publications may be tracked on Google Scholar. ( * denotes equal contribution, underline denotes Yang Lab members )

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2021

1. Kim GL, Hooven TA, Norambuena J, Li B, Boyd JM, Yang JH, Parker D. Growth and stress tolerance comprise independent metabolic strategies critical for Staphylococcus aureus infection. mBio. 2021; 12(3):e0081421.

2. Lopatkin AJ*, Yang JH*. Digital insights into nucleotide metabolism and antibiotic treatment failure. Front Digit Health. 2021.

3. León-Buitimea A, Morones-Ramírez JR, Yang JH, Peña-Miller R. Editorial: Facing the upcoming of multidrug-resistant and extensively drug-resistant bacteria: novel antimicrobial therapies (NATs). Front Bioeng Biotechnol. 2021; 9:636278.

4. Lopatkin AJ, Bening SC, Manson AL, Stokes JM, Kohanski MA, Badran AH, Earl AM, Cheney NJ, Yang JH, Collins JJ. Clinically relevant mutations in core metabolic genes confer antibiotic resistance. Science. 2021; 371(6531):eaba0862.

   • Press Releases: MIT News, Broad Institute, Barnard College, World Economic Forum, EurekAlert, Phys.org, GenomeWeb, Mirage News, Healthcare in Europe

   • ​Highlighted in Science, Nature Reviews Microbiology, PNAS, Nature Reviews Genetics

5. Anahtar MN, Yang JH, Kanjilal S. Applications of machine learning to the problem of antimicrobial resistance: An emerging model for translational research. J Clin Microbiol. 2021; 59(7):e0126020.

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——— BEFORE RUTGERS NEW JERSEY MEDICAL SCHOOL ———

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2019

1. Lopatkin AJ, Stokes JM, Zheng EJ, Yang JH, Takahashi MK, You L, Collins JJ. Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate. Nat Microbiol. 2019; 4(12):2109-2117.

   • ​Highlighted in Nature Reviews Microbiology

2. Yang JH, Wright SN*, Hamblin M*, McCloskey D, Alcantar MA, Schrübbers L, Lopatkin AJ, Satish S, Nili A, Palsson BO, Walker GC, Collins JJ. A white-box machine learning approach for revealing antibiotic mechanisms of action. Cell. 2019; 177(6):1649-1661.

   • Press Releases: MIT News, Broad Institute, World Economic Forum, ScienceDaily, EurekAlert, Phys.org, Technology Networks, Infection Control Today, Health Canal

   • Highlighted in Cell, Nature Reviews Genetics

   • Recommended by F1000

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2017

1. Yang JH*, Bhargava P*, McCloskey D, Mao N, Palsson BO, Collins JJ. Antibiotic-induced changes to the host metabolic environment inhibit drug efficacy and alter immune function. Cell Host Microbe. 2017; 22(6):757-765.

   • Cover Image

   • Press Releases: Broad Institute​, Wyss Institute, Phys.org, ScienceDaily, Science Alert, Scicasts, ContagionLive, New Atlas, Scientific American, Bloomberg

   • Highlighted in Science Signaling, Nature Immunology

2. Yang JH*, Bening SC*, Collins JJ. Antibiotic efficacy – context matters. Curr Opin Microbiol. 2017; 39:73-80.

3. Takahashi N*, Gruber CC*, Yang JH, Liu X, Braff D, Yashaswini C, Bhubhani S, Furuta Y, Andreescu S, Collins JJ, Walker GC. Lethality of MalE-LacZ hybrid protein shares mechanistic attributes with oxidative component of antibiotic lethality. Proc Natl Acad Sci U S A. 2017; 114(34):9164-9169.

   • Highlighted in Trends in Microbiology

4. Meylan S, Porter CB*, Yang JH*, Belenky P, Gutierrez A, Lobritz MA, Park J, Kim S, Moskowitz S, Collins JJ. Carbon sources tune antibiotic susceptibility in Pseudomonas aeruginosa via Tricarboxylic acid cycle control. Cell Chem Biol. 2017; 24(2):195-206.

   • Highlighted in Cell Chemical Biology

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2015

1. Lobritz MA*, Belenky P*, Porter CBM, Gutierrez A, Yang JH, Schwarz EG, Dwyer DJ, Khalil AS, Collins JJ. Antibiotic efficacy is linked to bacterial cellular respiration. Proc Natl Acad Sci U S A. 2015; 112(27):8173-80.

   • Press Releases: Brown University, Phys.org, Futurity

   • Highlighted in Nature Medicine

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2014

1. Dwyer DJ*, Belenky PA*, Yang JH*, MacDonald IC, Martell JD, Takahashi N, Chan CT, Lobritz MA, Braff D, Schwarz EG, Ye JD, Pati M, Vercruysse M, Ralifo PS, Allison KR, Khalil AS, Ting AY, Walker GC, Collins JJ. Antibiotics induce redox-related physiological alterations as part of their lethality. Proc Natl Acad Sci U S A. 2014; 111(20):E2100-9.

   • Highlighted in Science Translational Medicine

   • Recommended by F1000

2. Yang JH, Polanowska-Grabowska RK, Smith JS, Shields CW, Saucerman JJ. PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic signaling. J Mol Cell Cardiol. 2014; 66:83-93.

 

2012

1. Yang JH, Saucerman JJ. Phospholemman is a negative feed-forward regulator of Ca2+ in β-adrenergic signaling, accelerating β-adrenergic inotropy. J Mol Cell Cardiol. 2012; 52(5):1048-55.

2. Sample V*, DiPilato LM*, Yang JH*, Ni Q, Saucerman JJ, Zhang J. Regulation of nuclear PKA revealed by spatiotemporal manipulation of cAMP. Nat Chem Biol. 2012; 8(4):375-82.

   • Press Releases: ScienceDaily

 

2011

1. Yang JH, Saucerman JJ. Computational models reduce complexity and accelerate insight into cardiac signaling networks. Circ Res. 2011; 108(01):85-97.

2. Benedict KF, Mac Gabhann F*, Amanfu RK*, Chavali AK*, Gianchandani EP*, Glaw LS*, Oberhardt MA*, Thorne BC*, Yang JH*, Papin JA, Peirce SM, Saucerman JJ, Skalak TC. Systems analysis of bounded signaling modules generates experimental roadmap for eight major diseases. Ann Biomed Eng. 2011; 39(2):621-35.

 

2009

1. Yang J. Science Careers: Where does advocacy fit? Science. 2009; 323(5911):208-209.

 

2005

1. Gurewitsch ED, Kim EJ, Yang JH, Outland KE, McDonald MK, Allen RH. Comparing McRoberts’ and Rubin’s maneuvers for initial management of shoulder dystocia: An objective evaluation. Am J Obstet Gynecol. 2005; 192(1):153-160.

 

2004

1. Kim EJ, Allen RH, Yang JH, McDonald MK, Tam W, Gurewitsch ED. Simulating complicated human birth for research and training. Conf Proc IEEE Eng Med Biol Soc. 2004; 4:2762-6.

 

2003

1. Gurewitsch E, Kim E, Yang J, Outland K, Allen R. An objective evaluation of McRoberts’ and Rubin’s maneuvers for shoulder dystocia. Am J Obstet Gynecol. 2003; 189(6):S208.

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