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

Automated Design of Oligopools and Rapid Analysis of Massively Parallel Barcoded Measurements

Ayaan Hossain, Daniel P. Cetnar, Travis L. LaFleur, James R. McLellan, Howard M. Salis, 2024, ACS Synthetic Biology on p. 4218-4232

Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning

Daniel P. Cetnar, Ayaan Hossain, Grace E. Vezeau, Howard M. Salis, 2024, Nature Communications

An autonomous microbial sensor enables long-term detection of TNT explosive in natural soil

Erin A. Essington, Grace E. Vezeau, Daniel P. Cetnar, Emily Grandinette, Terrence H. Bell, Howard M. Salis, 2024, Nature Communications

Autoclaving is at least as effective as gamma irradiation for biotic clearing and intentional microbial recolonization of soil

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

Automated design of protein-binding riboswitches for sensing human biomarkers in a cell-free expression system

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

Genetic circuitry boosts cell longevity

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

Automated model-predictive design of synthetic promoters to control transcriptional profiles in bacteria

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

Tuning Cell-Free Composition Controls the Time Delay, Dynamics, and Productivity of TX-TL Expression

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

Systematic Quantification of Sequence and Structural Determinants Controlling mRNA stability in Bacterial Operons

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

Selenium-dependent metabolic reprogramming during inflammation and resolution

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

Most-Cited Papers

Rational design of a synthetic Entner-Doudoroff pathway for improved and controllable NADPH regeneration

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

Automated physics-based design of synthetic riboswitches from diverse RNA aptamers

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

Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences

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

Simultaneous repression of multiple bacterial genes using nonrepetitive extra-long sgRNA arrays

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

A portable expression resource for engineering cross-species genetic circuits and pathways

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

Reversing methanogenesis to capture methane for liquid biofuel precursors

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

An automated model test system for systematic development and improvement of gene expression models

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

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

Automated design of thousands of nonrepetitive parts for engineering stable genetic systems

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

A Biophysical Model of CRISPR/Cas9 Activity for Rational Design of Genome Editing and Gene Regulation

Iman Farasat, Howard M. Salis, 2016, PLoS Computational Biology on p. e1004724

News Articles Featuring Howard Salis

Sep 11, 2024

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.

Full Article

May 31, 2023

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.

Full Article

May 08, 2023

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.

Full Article

May 03, 2023

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%.

Full Article

Apr 27, 2023

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?

Full Article

Jul 21, 2020

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.

Full Article