S'identifier

University of California at Los Angeles (UCLA)

3 ARTICLES PUBLISHED IN JoVE

Biology

Dissection and Mounting of Drosophila Pupal Eye Discs

Joy S. Tea¹, Albert Cespedes¹, Daniel Dawson², Utpal Banerjee^1,3, Gerald B. Call²

¹Department of Molecular, Cell and Developmental Biology (MCDB), University of California at Los Angeles (UCLA), ²Arizona College of Osteopathic Medicine (AZCOM), Midwestern University, ³MCDB, Broad Stem Cell Research Center, UCLA

The goal of this technique is to enable researchers to perform dissection, immunostaining and mounting of pupal eye discs from Drosophila melanogaster of any age.

Genetics

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Gajendra W. Suryawanshi^*1,2, Song Xu^*3, Yiming Xie¹, Tom Chou³, Namshin Kim⁴, Irvin S. Y. Chen^1,5, Sanggu Kim⁶

¹UCLA AIDS Institute, University of California at Los Angeles (UCLA), ²Department of Microbiology, Immunology, & Molecular Genetics, University of California at Los Angeles (UCLA), ³Departments of Biomathematics and Mathematics, University of California at Los Angeles (UCLA), ⁴Personalized Genomic Medicine Research Center, Division of Strategic Research Groups, Korea Research Institute of Bioscience and Biotechnology, ⁵Department of Medicine, University of California at Los Angeles (UCLA), ⁶Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University (OSU)

This manuscript describes the experimental procedure and software analysis for a bidirectional integration site assay that can simultaneously analyze upstream and downstream vector-host junction DNA. Bidirectional PCR products can be used for any downstream sequencing platform. The resulting data are useful for a high-throughput, quantitative comparison of integrated DNA targets.

Biochemistry

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Alexander R. Pelletier^1,2,3, Dylan Steinecke^1,3,4, Dibakar Sigdel¹, Irsyad Adam¹, J. Harry Caufield¹, Vladimir Guevara-Gonzalez¹, Joseph Ramirez¹, Aarushi Verma¹, Kaitlyn Bali¹, Katherine Downs¹, Wei Wang^1,2,3, Alex Bui^3,4, Peipei Ping^1,2,3,4,5

¹Department of Physiology, UCLA School of Medicine, ²Scalable Analytics Institute (ScAi) at Department of Computer Science, UCLA School of Engineering, ³NIH BRIDGE2AI Center at UCLA & NHLBI Integrated Cardiovascular Data Science Training Program, UCLA, ⁴Medical Informatics, University of California at Los Angeles (UCLA), ⁵Department of Medicine (Cardiology), UCLA School of Medicine

A computational protocol, CaseOLAP LIFT, and a use case are presented for investigating mitochondrial proteins and their associations with cardiovascular disease as described in biomedical reports. This protocol can be easily adapted to study user-selected cellular components and diseases.