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David R. Walt
Researcher at Wyss Institute for Biologically Inspired Engineering
Publications - 458
Citations - 27936
David R. Walt is an academic researcher from Wyss Institute for Biologically Inspired Engineering. The author has contributed to research in topics: Optical fiber & Fiber optic sensor. The author has an hindex of 87, co-authored 433 publications receiving 25189 citations. Previous affiliations of David R. Walt include Harvard University & University of Bordeaux.
Papers
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Journal ArticleDOI
Single-Molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations
David M. Rissin,Cheuk W. Kan,Todd G. Campbell,Stuart C. Howes,David Fournier,Linan Song,Tomasz Piech,Purvish P. Patel,Lei Chang,Andrew J. Rivnak,Evan P. Ferrell,Jeffrey Randall,Gail K. Provuncher,David R. Walt,David C. Duffy +14 more
TL;DR: The authors' single-molecule enzyme-linked immunosorbent assay (digital ELISA) approach detected as few as ∼10–20 enzyme-labeled complexes in 100 μl of sample and routinely allowed detection of clinically relevant proteins in serum at concentrations much lower than conventional ELISA.
Journal ArticleDOI
Cross-reactive chemical sensor arrays.
Keith J. Albert,Nathan S. Lewis,Caroline L. Schauer,Gregory A. Sotzing,Shannon E. Stitzel,Thomas P. Vaid,David R. Walt +6 more
TL;DR: Conventional approaches to chemical sensors have traditionally made use of a “lock-and-key” design, wherein a specific receptor is synthesized in order to strongly and highly selectively bind the analyte of interest.
Journal ArticleDOI
Phenotypic consequences of promoter-mediated transcriptional noise.
William Jeremy Blake,Gábor Balázsi,Michael A. Kohanski,Farren J. Isaacs,Kevin F. Murphy,Yina Kuang,Charles R. Cantor,David R. Walt,James J. Collins +8 more
TL;DR: It is shown that increased variability in gene expression, affected by the sequence of the TATA box, can be beneficial after an acute change in environmental conditions.
Journal ArticleDOI
How many human proteoforms are there
Ruedi Aebersold,Jeffrey N. Agar,I. Jonathan Amster,Mark S. Baker,Carolyn R. Bertozzi,Emily S. Boja,Catherine E. Costello,Benjamin F. Cravatt,Catherine Fenselau,Benjamin A. Garcia,Ying Ge,Jeremy Gunawardena,Ronald C. Hendrickson,Paul J. Hergenrother,Christian G. Huber,Alexander R. Ivanov,Ole N. Jensen,Michael C. Jewett,Neil L. Kelleher,Laura L. Kiessling,Nevan J. Krogan,Martin R. Larsen,Joseph A. Loo,Rachel R. Ogorzalek Loo,Emma Lundberg,Emma Lundberg,Michael J. MacCoss,Parag Mallick,Vamsi K. Mootha,Milan Mrksich,Tom W. Muir,Steven M. Patrie,James J. Pesavento,Sharon J. Pitteri,Henry Rodriguez,Alan Saghatelian,Wendy Sandoval,Hartmut Schlüter,Salvatore Sechi,Sarah A. Slavoff,Lloyd M. Smith,Michael Snyder,Paul M. Thomas,Mathias Uhlén,Jennifer E. Van Eyk,Marc Vidal,David R. Walt,Forest M. White,Evan R. Williams,Therese Wohlschlager,Vicki H. Wysocki,Nathan A. Yates,Nicolas L. Young,Bing Zhang +53 more
TL;DR: This work frames central issues regarding determination of protein-level variation and PTMs, including some paradoxes present in the field today, and uses this framework to assess existing data and ask the question, "How many distinct primary structures of proteins (proteoforms) are created from the 20,300 human genes?"
Journal ArticleDOI
Randomly Ordered Addressable High-Density Optical Sensor Arrays
TL;DR: A new approach for array fabrication where the identity of each sensor is ascertained and registered on the detector using encoding schemes, rather than by a predetermined location in the array.