December 2021

Ippolito Lab

About The Ippolito Lab

Current research of the Ippolito Lab utilizes molecular and proteomic techniques for the comprehensive profiling of antibody repertoires in human adaptive immune responses. The method is a synergistic combination of (i) IgG immunoglobulin protein mass spectrometry and (ii) a high-throughput DNA sequencing method that preserves the natural pairing of B-cell heavy and light chain variable regions (VH:VL regions). This innovation allows for the direct comparison of protein-level plasma IgG immunoglobulin repertoires to DNA-level

LCID Director Speaks About Omicron Breakthrough Infection Risk

December 22, 2021

Dr. Shelley M. Payne, LCID Director, was among three experts recently interviewed by Healthline.com about studies looking at COVID-19 breakthrough infection risk with the Omicron variant. She said that while studies on neutralizing antibodies against the variant are useful, scientists will also need to look at real-world data on

Hendrickson DA, Minckley TA, Middleton BR, Norman LM. Database of Cienega Locations in Southwestern United States and Northern Mexico. [Internet]. Publisher's Version Abstract

Cienegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Cienegas are typically no lower than 0 m, and higher than 2000 m, rarely lower but sometimes higher elevation localities occur. Cienegas are typified by significant differences in flora and fauna relative to the greater terrestrial conditions in the region in which it is located. Cienegas are freshwater to brackish North American wetlands associated with fluvial systems of arid/semi-arid areas of the southwestern U.S. and northwestern Mexico. Once extensively utilized by the region's indigenous human cultures, early European explorers and settlers, the extent of these aquatic riparian communities has dramatically decreased from historic conditions and the community is now considered imperiled in North America. This dataset provides location information and some limited attributes of cienegas in the southwestern U.S. and northern Mexico. There is no information as to the size of the cienega and other important attributes.

Bound on Kernel

Unlike the ping pong lemma, finding valid intervals for generalized ping pong leaves us with a bit more work to do. As covered in the Generalized Ping Pong section, we are left with a bound on the size of the kernel instead of knowledge that that kernel is just 0. After finding valid intervals, we can theoretically compute what this upper bound is and then simply check all words of length up to a number related to that bound in

Founding of The Center

The LaMontagne Center for Infectious Disease was established at The University of Texas at Austin in November 2013 as the Center for Infectious Disease (CID) and was renamed just over three years later for scientist and public health champion John Ring LaMontagne. The LaMontagne Center, while located within the College of Natural Sciences, is composed of highly interdisciplinary researchers spanning at least four colleges: Natural Sciences, Engineering, Pharmacy, and the Dell Medical School.

The LaMontagne Center conducts basic and translational research into the

Facts about the Center

The LaMontagne Center for Infectious Disease is the first interdisciplinary research center on a Tier One research university campus that aims to bridge the gap between basic and translational research into microbial and viral pathogenesis.

The LaMontagne Center consists of members from four distinct areas within the University: (1) The College of Natural Sciences, (2) The Cockrell School of Engineering, (3) The School of Pharmacy, and (4) The Dell Medical School.

Members bring expertise and research in over 30 different diseases including Coronaviruses,

Our Mission

The mission of the John Ring LaMontagne Center for Infectious Disease is to bridge the gap between basic and translational research into microbial and viral pathogenesis. These efforts include characterizing and predicting the spread of infectious diseases through populations, and supporting programs to define the human and animal responses to challenge by infectious agents and how human genetics impact susceptibility to infection. Our primary goals are:

To create a center of national prominence in infectious diseases.
To provide networking

Our Work

Calegari's rationality theorem shows that scl only takes rational values in free groups. However, it is not known which rational numbers appear as scl values. The set of such numbers is called the scl spectrum for the free group. The algorithm in the theorem was implemented in the scallop program (later improved by Alden Walker), which allowed computer experiments to explore scl in free groups. The following histogram indicates part of the scl spectrum in the free group of rank two based on computer experiments.

In particular, one can ask