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Mark D. Johnson

Researcher at University of Massachusetts Medical School

Publications -  301
Citations -  18425

Mark D. Johnson is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 60, co-authored 289 publications receiving 16103 citations. Previous affiliations of Mark D. Johnson include National Institutes of Health & Georgetown University Medical Center.

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Peg3/Pw1 Is a Mediator between p53 and Bax in DNA Damage-induced Neuronal Death

TL;DR: Peg3/Pw1 is up-regulated after DNA damage in cortical neurons in a p53-dependent manner and overexpression of a Peg3/ Pw1 dominant negative protein inhibits Bax translocation and neuronal cell death afterDNA damage.
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Aberrant Splicing of Cyclin-Dependent Kinase–Associated Protein Phosphatase KAP Increases Proliferation and Migration in Glioblastoma

TL;DR: The discovery of aberrant KAP splicing in malignant astrocytomas that leads to increased expression of KAP-related transcripts but decreased KAP protein expression is found, providing the first evidence that KAP not only regulates proliferation but also inhibits migration by decreasing cdc2 mRNA and protein expression.
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Liquid biopsy using the nanotube-CTC-chip: capture of invasive CTCs with high purity using preferential adherence in breast cancer patients

TL;DR: The nanotube-CTC-chip successfully captured CTCs in the peripheral blood of breast cancer patients (stage 1-4), and CTC enumeration based on multiple markers using the nanotubes enables dynamic views of metastatic progression and could potentially have predictive capabilities for diagnosis and treatment response.
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Five-color-based high-information-content fingerprinting of bacterial artificial chromosome clones using type IIS restriction endonucleases.

TL;DR: The enhanced information content associated with this approach significantly increases the accuracy and efficiency of detecting shared fragments among BAC clones and compared data obtained from this method to predicted HICF patterns of 10 fully sequenced BACs.