Kathleen H. Burns
Johns Hopkins University School of Medicine
132 Papers
621 Citations
Kathleen H. Burns is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Biology & Retrotransposon. The author has an hindex of 39, co-authored 113 publications. Previous affiliations of Kathleen H. Burns include Baylor College of Medicine & Harvard University.
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Papers
Functional Impact of the Human Mobilome
TL;DR: The human genome is replete with interspersed repetitive sequences derived from the propagation of mobile DNA elements, and mobile elements in human disease are discussed with an emphasis on exciting developments from the last several years.
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Characterization of L1-Ribonucleoprotein Particles
Martin S. Taylor,Martin S. Taylor,John LaCava,John LaCava,Lixin Dai,Paolo Mita,Kathleen H. Burns,Michael P. Rout,Jef D. Boeke +8 more
TL;DR: Large-scale production of L1-expressing HEK-293T cells in suspension cell culture, cryomilling and affinity capture of L 1 RNP complexes, sample preparation for analysis by mass spectrometry, and assay using the L1 element amplification protocol (LEAP) and qRT-PCR are described.
23
Immunodetection of Human LINE-1 Expression in Cultured Cells and Human Tissues
TL;DR: A mouse monoclonal antibody specific for human LINE-1 ORF1p is described and its application in immunofluorescence and immunohistochemistry of both cells and human tissues is described.
Integrated Transcriptomic and Proteomic Analysis of Primary Human Umbilical Vein Endothelial Cells
Anil K. Madugundu,Chan Hyun Na,Raja Sekhar Nirujogi,Santosh Renuse,Santosh Renuse,Kwang Pyo Kim,Kathleen H. Burns,Christopher Wilks,Ben Langmead,Shannon E. Ellis,Leonardo Collado-Torres,Marc K. Halushka,Min-Sik Kim,Min-Sik Kim,Akhilesh Pandey +14 more
TL;DR: It is believed that the integrated approach employed in this study is widely applicable to study any primary cell type for deeper molecular characterization.
21
Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas.
Mark A. Samols,Nathan E. Smith,Jonathan M. Gerber,Milena Vuica-Ross,Christopher D. Gocke,Kathleen H. Burns,Michael J. Borowitz,Toby C. Cornish,Amy S. Duffield +8 more
TL;DR: Data show that software-automated quantitation of Ki-67 can provide both a useful adjunct to pathologic grade in FL and improved prognostic information for patients.