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Specific Changes in Arabidopsis thaliana Rosette Lipids during Freezing Can Be Associated with Freezing Tolerance
This article explores the ability of Arabidopsis thaliana to recover after exposure to freezing temperatures.
Date:
March 17, 2022
Creator:
Vu, Hieu Sy; Shiva, Sunitha; Samarakoon, Thilani; Li, Maoyin; Sarowar, Sujon; Roth, Mary R. et al.
System:
The UNT Digital Library
In vivo Evaluation of Non-viral NICD Plasmid-Loaded PLGA Nanoparticles in Developing Zebrafish to Improve Cardiac Functions
This article presents a study with the purpose to deliver a Notch Intracellular Domain (NICD)-encoded plasmid via poly(lactic-co-glycolic acid) (PLGA) nanoparticles and to investigate the toxic environmental side effects for an in vivo experiment. This research demonstrates that PLGA nanoparticle-mediated target delivery to upregulate Notch related genes can be a potential therapeutic approach with minimum toxic effects.
Date:
February 23, 2022
Creator:
Messerschmidt, Victoria L.; Chintapula, Uday; Bonetesta, Fabrizio; Laboy-Segarra, Samantha; Naderi, Amir; Nguyen, Kytai T. et al.
System:
The UNT Digital Library
Analysis of transcribed sequences from young and mature zebrafish thrombocytes
Article studying thrombocyte function and development in adult zebrafish. The authors performed single-cell RNA sequencing of the young and mature zebrafish thrombocytes and compared the two datasets for young and mature thrombocyte transcripts.
Date:
September 19, 2021
Creator:
Fallatah, Weam; De, Ronika; Burks, David J.; Azad, Rajeev K. & Jagadeeswaran, Pudur
System:
The UNT Digital Library
Identification of Novel Antimicrobial Resistance Genes Using Machine Learning, Homology Modeling, and Molecular Docking
Article claims antimicrobial resistance (AMR) threatens the healthcare system worldwide with the rise of emerging drug resistant infectious agents. To infer novel resistance genes, we used complete gene sets of several bacterial strains known to be susceptible or resistant to specific drugs and associated phenotypic information within a machine learning framework that enabled prioritizing genes potentially involved in resistance.
Date:
October 23, 2022
Creator:
Sunuwar, Janak & Azad, Rajeev K.
System:
The UNT Digital Library