Electrical and motile properties of microorganisms
- Physiological role of microbial cation channels
- Membrane potential modulation by small molecules and proteins
- Connection between motility, stress response and cell division
Information content within microbial and human genome sequences
- Extraction of useful information from whole genome sequencing
- Whole genome coevolution to predict connections between proteins
- Development of tools to analyze circular genomes
Steve Lockless, Principle Investigator
Associate Professor, Department of Biology
Faculty of Neuroscience & Faculty of Ecology and Evolutionary Biology
Ph.D., Molecular Biophysics, University of Texas Southwestern Medical Center
B.S., Molecular & Cellular Biology, Texas A&M University
B.S., Biology, Washburn University
Ph.D. Student (co-advised with Dr. Katy Kao, Chem. Eng.)
M.S., Biotechnology, University of Texas at San Antonio
B.S., Biotechnology, University of Pune, India
M.S., Biology, Idaho State University
B.S., Biology, Idaho State University
B.S., Biology, St. Edward’s University
Undergraduate, Computer Science Major
Undergraduate, Microbiology Major
Undergraduate, Microbiology Major
Lockless Lab Alumni (in order of joining the laboratory):
Shian Liu, Ph.D.
Xuelin Bian, Ph.D.
- Ravichandran A., Geng M., Hull K.G., Li J., Romo D., Lu S.E., Albee A., Nutter C., Gordon D.M., Ghannoum M.A., Lockless S.W. and L. Smith. A Novel Actin Binding Drug with In Vivo Efficacy. (2018) Antimicrob Agents Chemother. 63(1):e01585-18.
- Katti S., Her B., Srivastava A.K., Taylor A.B., Lockless S.W. and T.I. Igumenova. High affinity interactions of Pb2+ with synaptotagmin I. (2018) Metallomics. 10:1211-1222.
- Liu S. and S.W. Lockless. Ion Binding to Transport Proteins using Isothermal Titration Calorimetry. (2018) Methods Mol Biol. 1684:289-303.
- Shrestha R., Lockless S.W. and J.A. Sorg. A Clostridium difficile alanine racemase affects spore germination and accommodates serine as a substrate. (2017) J Biol Chem 292:10735-10742.
- Bian, X. and S.W. Lockless. Dialysis-free method to reduce background heat of dilution in ITC experiments. (2016) Anal Chem 88:5549-5553.
- Beagle, S.B. and S.W. Lockless. Electrical signaling goes bacterial. (2015) Nature 527:44-45.
- Liu, S., Focke, P.J., Bian, X., Matulef, K., Moënne-Loccoz, P., Valiyaveetil, F.I. and S.W. Lockless. Similar ion binding properties of the conductive and inactivated conformations in a K+ channel selectivity filter. (2015) Proc Natl Acad Sci USA, 112: 15096-15100.
- Lockless, S.W. Principles to Achieve Cation Transport Selectivity. (2015) J Gen Physiol. 146:3-13.
- Mukherjee, P., Banerjee, S., Wheeler, A., Ratliff, L.A., Garcia, L.R., Lockless, S.W. and W.K. Versaw. Live Imaging of Inorganic Phosphate in Plants with Cellular and Subcellular Resolution. (2015) Plant Physiology 167:628-638.
- Huang, H.*, Levin, E.J.*, Liu, S., Bai, Y., Lockless, S.W. and M. Zhou. Structure of a membrane embedded prenyltransferase homologous to UBIAD1. (2014) PLoS Biology 12:e1001911.
- Liu, S. and S.W. Lockless. Equilibrium selectivity alone does not create K+-selective ion conduction in K+ channels. (2013) Nat Commun 4:2746.
- Liu, S.*, Bian, X.* and S.W. Lockless. Preferential binding of K+ ions in the selectivity filter at equilibrium explains high selectivity of K+ channels. (2012) J Gen Physiol. 140:671-679.
- Lockless, S.W. and T.W. Muir. Traceless protein splicing utilizing evolves split inteins. (2009) Proc Natl Acad Sci USA, 106: 10999-11004.
- Lockless, S.W., Zhou, M., MacKinnon, R. Structural Principles and Thermodynamic Properties of Ion Selectivity in a K+ Channel. (2007) PLoS Biology, 5: e121.
- Socolich, M.A.*, Lockless, S.W.*, Russ, W.P., Lee, H., Gardner, K.H. and R. Ranganathan. Evolutionary information for specifying a protein fold. (2005) Nature, 437: 512-518.
- Vergani P, Lockless, S.W., Nairn A.C. and Gadsby D.C. (2005) CFTR channel opening by ATP-driven tight dimerization of its nucleotide-binding domains. Nature, 433: 876-880.
- Hatley, M.E., Lockless, S.W., Gibson, S.K., Gilman A.G. and R. Ranganathan. Allosteric Determinants in Guanine Nucleotide-binding Proteins. (2003) Proc Natl Acad Sci USA, 100: 14445-14450.
- Suel, G.*, Lockless, S.W.*, Wall, M.A. and R. Ranganathan. Evolutionarily Conserved Networks of Residues Mediate Allosteric Communication in Proteins. (2003) Nat Struct Biol, 10: 59-69.
- Lockless, S.W. and R. Ranganathan. Evolutionarily Conserved Pathways of Energetic Connectivity in Protein Families. (1999) Science, 286: 295-299.
- Lockless, S.W., Cheng, H-T., Hodel, A.E., Quiocho, F.A. and P.D. Gershon. Recognition of Capped RNA Substrates by VP39, the Vaccinia-Encoded mRNA Cap-Specific 2′-O-Methyltransferase. (1998) Biochemistry, 37: 8564-5874.
Biol 213 – Molecular Cell Biology
The purpose of this course is to provide a rigorous foundation in current molecular and cellular biology. This material is the basis for much of current medical practices, many areas of science, and is having a major impact on ethical issues in society. In addition, many of the upper level life science courses will begin by assuming that you know this material.
(1) Describe the structures, molecules and mechanisms of cellular energy generation and management, (2) Describe the processes of cellular endomembrane sorting and transport among different organelles in the cytoplasm, (3) Describe the molecular components and mechanisms of cellular signal transduction, (4) Describe the structures, functions, and the molecular components of the cytoskeleton, (5) Describe the molecular nature of the gene and its expression contributing to the cellular phenotype, and (6) Describe the processes, stages, and regulation of cell mitosis and division.
Biol 651 – Bioinformatics
The growing information in biological systems will impact the research direction in many diverse fields. This course is designed to introduce graduate students to the principles of bioinformatics, including both theoretical and practical aspects. Students will learn how to manipulate biologically relevant datasets including protein sequences, protein structures and nucleic acid sequences (both DNA and RNA), as well as build a foundation to analyze types of datasets that do not yet exist. There are no prerequisites for this course but a basic understanding of molecular biology including the central dogma and a positive attitude towards computers are helpful.
(1) Quantify correlations in data using different approaches to identify functionally relevant parameters, (2) Create protein sequence alignment and identify conserved positions, (3) Download, manipulate and display the 3-D structure of a protein, (4) Describe the constraints evolution imposes on a protein’s structure/function, (5) Explain the differences between traditional and Next Generation Sequencing (NGS), (6) Design experiments using NGS to address cellular biology questions, and (7) Discuss the different types of information that can be extracted from genome sequences.