Literature DB >> 26745641

SNaPP: Simplified Nanoproteomics Platform for Reproducible Global Proteomic Analysis of Nanogram Protein Quantities.

Eric L Huang1, Paul D Piehowski1, Daniel J Orton1, Ronald J Moore1, Wei-Jun Qian1, Cameron P Casey1, Xiaofei Sun1, Sudhansu K Dey1, Kristin E Burnum-Johnson1, Richard D Smith1.   

Abstract

Global proteomic analyses of complex protein samples in nanogram quantities require a fastidious approach to achieve in-depth protein coverage and quantitative reproducibility. Biological samples are often severely mass limited and can preclude the application of more robust bulk sample processing workflows. In this study, we present a system that minimizes sample handling by using online immobilized trypsin digestion and solid phase extraction to create a simple, sensitive, robust, and reproducible platform for the analysis of nanogram-size proteomic samples. To demonstrate the effectiveness of our simplified nanoproteomics platform, we used the system to analyze preimplantation blastocysts collected on day 4 of pregnancy by flushing the uterine horns with saline. For each of our three sample groups, blastocysts were pooled from three mice resulting in 22, 22, and 25 blastocysts, respectively. The resulting proteomic data provide novel insight into mouse blastocyst protein expression on day 4 of normal pregnancy because we characterized 348 proteins that were identified in at least two sample groups, including 59 enzymes and blastocyst specific proteins (eg, zona pellucida proteins). This technology represents an important advance in which future studies could perform global proteomic analyses of blastocysts obtained from an individual mouse, thereby enabling researchers to investigate interindividual variation as well as increase the statistical power without increasing animal numbers. This approach is also easily adaptable to other mass-limited sample types.

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Year:  2016        PMID: 26745641      PMCID: PMC4769369          DOI: 10.1210/en.2015-1821

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


  42 in total

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Journal:  Nat Biotechnol       Date:  2003-07-20       Impact factor: 54.908

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Journal:  Biol Reprod       Date:  1995-08       Impact factor: 4.285

10.  Spindlin, a major maternal transcript expressed in the mouse during the transition from oocyte to embryo.

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  26 in total

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2.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

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4.  Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

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Review 5.  Single-cell Proteomics: Progress and Prospects.

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6.  Subnanogram proteomics: impact of LC column selection, MS instrumentation and data analysis strategy on proteome coverage for trace samples.

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7.  Carrier-Assisted Single-Tube Processing Approach for Targeted Proteomics Analysis of Low Numbers of Mammalian Cells.

Authors:  Pengfei Zhang; Matthew J Gaffrey; Ying Zhu; William B Chrisler; Thomas L Fillmore; Lian Yi; Carrie D Nicora; Tong Zhang; Huanming Wu; Jon Jacobs; Keqi Tang; Jacob Kagan; Sudhir Srivastava; Karin D Rodland; Wei-Jun Qian; Richard D Smith; Tao Liu; H Steven Wiley; Tujin Shi
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8.  Glomerular filtrate proteins in acute cardiorenal syndrome.

Authors:  Rumie Wakasaki; Katsuyuki Matsushita; Kirsti Golgotiu; Sharon Anderson; Mahaba B Eiwaz; Daniel J Orton; Sang Jun Han; H Thomas Lee; Richard D Smith; Karin D Rodland; Paul D Piehowski; Michael P Hutchens
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9.  Spray-Capillary: An Electrospray-Assisted Device for Quantitative Ultralow-Volume Sample Handling.

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10.  Quantitative Proteomic Analysis of Mass Limited Tissue Samples for Spatially Resolved Tissue Profiling.

Authors:  Paul D Piehowski; Rui Zhao; Ronald J Moore; Geremy Clair; Charles Ansong
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