Dollars for Profs
Dig Into University Researchers' Outside Income and Conflicts of Interest
Published Dec. 6, 2019
This database was last updated in December 2019 and should only be used as a historical snapshot. There may be new or amended records not reflected here.
Conflict of Interest
Institutions must file significant disclosures to the National Institutes of Health if they determine financial relationships could affect the design, conduct or reporting of the NIH-funded research. The NIH provided us with their entire financial conflict of interest database, with filings from 2012 through 2019.
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Anand Venkataraman
Johns Hopkins University, Department: Neurosciences
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CDI Laboratories, Inc.
Payment for services (e.g., consulting fees, honoraria, paid authorship)
The SFI is related in that its value could be affected by the research. Upon review by the institution, it was determined that Dr. Venkataraman’s SFI could directly and significantly affect the design, conduct or reporting of his research under this award.
Intrabody-dependent activation of cell-specific gene expression in CNS
Cell-specific labeling in the CNS using transgenesis is a powerful technique, but also slow, expensive and not suitable for many model organisms. We propose an alternative approach that uses recombinant single-chain antibodies targeting evolutionarily conserved epitopes on cell-specific transcription factors to scaffold assembly of active Cre and Dre recombinase. This technique has the potential to allow simultaneous labeling of multiple CNS cell types in both mice and humans.
Filed on December 04, 2015.
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Notes: When a more specific filing date is not available for an individual financial disclosure or conflict of interest form, we use the year the form was filed. If the year was not disclosed, we report the range of years covered by our public records requests. In a few cases, a start date was provided instead of a filing date. In those cases, we use the start date instead.
Fewer than 10% of records from the University of Florida and fewer than 1% of records from the University of Texas system were removed because they did not contain enough information.
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