Alexis Hoerter

ORCID: 0000-0001-6667-1796
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Tuberculosis Research and Epidemiology
  • Mycobacterium research and diagnosis
  • Antibiotic Resistance in Bacteria
  • Immune Cell Function and Interaction
  • Neurobiology and Insect Physiology Research
  • Immune responses and vaccinations
  • Ion channel regulation and function
  • Immune cells in cancer
  • T-cell and B-cell Immunology
  • vaccines and immunoinformatics approaches
  • Connexins and lens biology

Purdue University West Lafayette
2022-2025

Cytosolic Ca2+ signatures with specific spatiotemporal patterns play crucial roles in plant responses to biotic and abiotic stresses. Perception of microbe- or damage-associated molecular (MAMPs DAMPs) initiates signaling cascades that represent the first layer defense against pathogens known as pattern-triggered immunity (PTI). During PTI, MAMP/DAMP-induced cytosolic fluxes serve essential messengers initiation transmission signals at cellular, whole organ, systemic levels. However, these...

10.1101/2025.01.23.634554 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2025-01-24

ABSTRACT Tuberculosis (TB), caused by Mycobacterium tuberculosis ( Mtb ), remains a significant health challenge. Clinical manifestations of TB exist across spectrum with majority infected individuals remaining asymptomatic, commonly referred to as latent infection (LTBI). In vitro models have demonstrated that cells from LTBI can better control growth and form granuloma-like structures more quickly, compared uninfected -naïve) individuals. These in results agree animal clinical evidence...

10.1128/msystems.01290-24 article EN cc-by mSystems 2025-02-07

In vitro models of Mycobacterium tuberculosis (Mtb) infection are a valuable tool for examining host-pathogen interactions and screening drugs. With the development more complex in models, there is need tools to help analyze integrate data from these models. To this end, we introduce an agent-based model (ABM) representation between immune cells bacteria setting. This silico was used simulate both traditional spheroid cell culture by changing movement rules initial spatial layout accordance...

10.1371/journal.pone.0299107 article EN cc-by PLoS ONE 2024-03-22

Tuberculosis (TB) remains a global public health threat. Understanding the dynamics of host-pathogen interactions within TB granulomas will assist in identifying what leads to successful elimination infection. In vitro models provide controllable environment study these granuloma dynamics. Previously we developed biomimetic 3D spheroid model that controls bacteria better than traditional monolayer culture counterpart. We used agent-based simulations predict mechanistic reason for this...

10.1371/journal.pcbi.1012266 article EN cc-by PLoS Computational Biology 2024-07-12

Abstract Tuberculosis (TB) remains a global public health threat with increasing prevalence. Understanding the dynamics of host-pathogen interactions within TB granulomas will assist in identifying what leads to successful elimination infection. In vitro models provide controllable environment study these granuloma dynamics. Previously we developed biomimetic 3D spheroid model that controls bacteria better than traditional monolayer culture counterpart. We used agent-based simulations...

10.1101/2023.10.09.561589 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-10-12

Abstract In vitro models of Mycobacterium tuberculosis (Mtb) infection are a valuable tool to examine host-pathogen interactions and screen drugs. With the development more complex in models, there is need for tools help analyze integrate data from these models. We introduce an agent-based model (ABM) representation between immune cells bacteria setting. This silico was used independently simulate both traditional spheroid cell culture by changing movement rules initial spatial layout cells....

10.1101/2023.03.13.532338 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-03-14
Coming Soon ...