3 articles published in JoVE
Murine Left Anterior Descending (LAD) Coronary Artery Ligation: An Improved and Simplified Model for Myocardial Infarction Karla Reichert*1, Bonnie Colantuono*1, Isabella McCormack1, Fernanda Rodrigues1, Vasile Pavlov1, M. Ruhul Abid1 1Cardiothoracic Surgery Division, Rhode Island Hospital, Brown University Warren Alpert Medical School We provide a reliable method for left anterior descending artery (LAD) ligation in a mouse model. This method is comparatively less invasive than other methods, involving endotracheal intubation, a left-sided thoracotomy approach, and thoracentesis. This method can be used as a model for both acute and chronic myocardial infarction (MI).
SILAC Based Proteomic Characterization of Exosomes from HIV-1 Infected Cells Collins Cheruiyot1, Zemplen Pataki1, Robert Williams1, Bharat Ramratnam2,3, Ming Li3 1Brown University, 2COBRE Center for Cancer Research, Lifespan Laboratories, Rhode Island and Miriam Hospitals, 3Division of Infectious Diseases, Department of Medicine, Warren Alpert Medical School, Brown University Here, we describe a quantitative proteomics method using the technique of stable isotope labeling by amino acids in cell culture (SILAC) to analyze the effects of HIV-1 infection on host exosomal proteomes. This protocol can be easily adapted to cells under different stress or infection conditions.
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity Noah S. Philip1, S. Louisa Carpenter1, Lawrence H. Sweet2 1Providence VA Medical Center, Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, 2Department of Psychology, University of Georgia This protocol describes the complementary neuroimaging techniques of resting state structural connectivity, task-induced deactivation, and structural connectivity analyses to examine the default network in post-traumatic stress disorder. The use of synergistic methods could potentially lead to improved diagnostics and assessments of severity, outcome, and other relevant clinical factors.