Howard Salis

Associate Professor of Chemical Engineering; Associate Professor of Agricultural and Biological Engineering

Howard Salis

Research Summary

Engineering microorganisms for applications in synthetic biology and metabolic engineering.

Huck Affiliations

Links

Most Recent Publications

William L. King, Emily M. Grandinette, Olivia Trase, M. Laura Rolon, Howard M. Salis, Harlow Wood, Terrence H. Bell, 2024, mSphere

Grace E. Vezeau, Lipika R. Gadila, Howard M. Salis, 2023, Nature Communications

Howard M. Salis, 2023, Science on p. 343

Travis L. LaFleur, Ayaan Hossain, Howard M. Salis, 2022, Nature Communications

Grace E. Vezeau, Howard M. Salis, 2021, ACS Synthetic Biology on p. 2508-2519

Daniel P. Cetnar, Howard M. Salis, 2021, ACS Synthetic Biology on p. 318-332

A Korwar, A Hossain, T Lee, Ashley Shay, V Basrur, K Conlon, Philip B. Smith, B Carlson, Howard M. Salis, Andrew D. Patterson, K. Sandeep Prabhu, 2021, Journal of Biological Chemistry on p. 100410

Ayaan Hossain, Eriberto Lopez, Sean M. Halper, Daniel P. Cetnar, Alexander C. Reis, Devin Strickland, Eric Klavins, Howard M. Salis, 2020, Nature Biotechnology on p. 1466-1475

Ivan Manzano, Neil Taylor, Matthew Csordas, Grace E. Vezeau, Howard M. Salis, Andrew L. Zydney, 2020, Biotechnology Progress

Alexander C. Reis, Howard M. Salis, 2020, ACS Synthetic Biology on p. 3145-3156

Most-Cited Papers

Amin Espah Borujeni, Anirudh S. Channarasappa, Howard M. Salis, 2014, Nucleic Acids Research on p. 2646-2659

Iman Farasat, Manish Kushwaha, Jason Collens, Michael Easterbrook, Matthew Guido, Howard M. Salis, 2014, Molecular Systems Biology

Chiam Yu Ng, Iman Farasat, Costas D. Maranas, Howard M. Salis, 2015, Metabolic Engineering on p. 86-96

Amin Espah Borujeni, Dennis M. Mishler, Jingzhi Wang, Walker Huso, Howard M. Salis, 2016, Nucleic Acids Research on p. 1-13

Valerie W.C. Soo, Michael J. McAnulty, Arti Tripathi, Fayin Zhu, Limin Zhang, Emmanuel Hatzakis, Philip B. Smith, Saumya Agrawal, Hadi Nazem-Bokaee, Saratram Gopalakrishnan, Howard M. Salis, James G. Ferry, Costas D. Maranas, Andrew D. Patterson, Thomas K. Wood, 2016, Microbial Cell Factories on p. 11

Manish Kushwaha, Howard M. Salis, 2015, Nature Communications

Amin Espah Borujeni, Daniel Cetnar, Iman Farasat, Ashlee Smith, Natasha Lundgren, Howard M. Salis, 2017, Nucleic Acids Research on p. 5437-5448

Translation Initiation is Controlled by RNA Folding Kinetics via a Ribosome Drafting Mechanism

Amin Espah Borujeni, Howard M. Salis, 2016, Journal of the American Chemical Society on p. 7016-7023

Alexander C. Reis, Sean M. Halper, Grace E. Vezeau, Daniel P. Cetnar, Ayaan Hossain, Phillip R. Clauer, Howard M. Salis, 2019, Nature Biotechnology on p. 1294-1301

Alexander C. Reis, Howard M. Salis, 2020, ACS Synthetic Biology on p. 3145-3156

News Articles Featuring Howard Salis

Three projects receive Huck Innovative and Transformational Seed Fund grants

Three potentially high-impact, high-risk research projects have been selected to receive seed funding for the latest round of the Huck Innovative and Transformational Seed (HITS) Fund initiative.

Penn State engineers report low-cost human biomarker sensor designs

Penn State researchers have developed a low-cost, RNA-based technology to detect and measure biomarkers, which can help decode the body’s physiology.

Scientists Nearly Doubled Yeast Cells’ Longevity With a Clever Genetic Hack

While human aging is the result of many interconnected processes, one of the most fundamental is the natural deterioration of individual cells. Now researchers have shown that they can use synthetic biology to significantly extend the lifespan of yeast cells.

Chinese researchers at UCSD help discover way to potentially increase lifespan by 82%

A team of scientists at the University of California, San Diego (UCSD), has discovered a way to potentially slow down the aging process by up to 82%.

Biological Clocks Have Been 'Rewired' to Increase Lifespan by 80 Percent

What if it was possible to stop the biological clock or at least rewire it?

Researchers offer solution for one of synthetic biology's biggest problems

A team of Penn State and University of Washington researchers recently developed a new algorithm to help prevent the failure of engineered genetic systems, or organisms engineered to have new capabilities.