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Michael Riffle on Muck Rack

Michael Riffle

Seattle
As seen in: Nature, ACS Publications, BioRxiv
Open Science. Bioinformatics, proteomics, data science, and machine learning. Also photography. Bad at twitter. He/Him @UWMedicine @uwgenome @UWBiochemistry
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Articles

Proteomic profiling of human omental and subcutaneous adipose tissue in individuals with a broad range of BMI - Scientific Data

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By Alex Zelter, Yue Wen, Michael Riffle, Lindsay C. Czuba, Aprajita S Yadav, Jerry Zhu, Jessica Snyder, Aaron J. Maurais, Saurabh Khandelwal, Judy Chen, Daniel Kim, Katya B. Rubinow, Michael J MacCoss, Nina Isoherranen, Jeffrey LaFrance, Estell Williams, Zoe Parr
| Nature Verified
Abstract Obesity is a major public health challenge affecting an ever-increasing proportion of the global population. It is associated with numerous comorbidities. Progressive expansion and remodeling of adipose tissue may lead to depot specific changes in adipose tissue biology and energy partitioning. Such changes likely precede the development of obesity-related complications.
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Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics - Nature Communications

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By Wen-Feng Zeng, Michael Riffle, Alexis Taylor Chang, Miranda C. Mudge, Brook L. Nunn, Brendan Maclean, Matthew D. Berg, Judit Villén, Michael J MacCoss
| Nature Verified
Abstract Data-independent acquisition (DIA)-based mass spectrometry is becoming an increasingly popular mass spectrometry acquisition strategy for carrying out quantitative proteomics experiments. Most of the popular DIA search engines make use of in silico generated spectral libraries.
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Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome - Nature Communications

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By Christine Wu, Kristine A Tsantilas, Jea Park, Deanna Plubell, Gennifer E. Merrihew, Michael Riffle, Andrew N Hoofnagle, William Noble, Kathleen L. Poston, Thomas J. Montine
| Nature Verified
Abstract Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies. We report a plasma EV enrichment strategy using magnetic beads called Mag-Net. Proteomic interrogation of this plasma EV fraction enables the detection of proteins that are beyond the dynamic range of liquid chromatography-mass spectrometry of unfractionated plasma. Mag-Net is robust, reproducible, inexpensive, and requires <100 μL plasma input.
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