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Reprosil particles

Manufactured by Dr. Maisch

ReproSil particles are a type of chromatographic material used in liquid chromatography. They are composed of silica-based particles and are designed for the separation and purification of various molecules, such as proteins, peptides, and small organic compounds. ReproSil particles offer good mechanical stability and reproducible chromatographic performance.

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3 protocols using reprosil particles

1

Phosphoproteome Profiling by LC-MS/MS

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Samples were loaded onto 50-cm columns packed in-house with C18 1.9 μM ReproSil particles (Dr. Maisch GmbH), with an EASY-nLC 1000 system (Thermo Fisher Scientific) coupled to the MS (Q Exactive HFX; Thermo Fisher Scientific). A homemade column oven maintained the column temperature at 60°C. Phosphopeptides were eluted with a 140 min gradient starting at 5% buffer B (80% ACN, 0.1% Formic acid) followed by a stepwise increase to 20% in 85 min, 40% in 35 min, 65% in 10 min and 80% in 2 × 5 min at a flow rate of 300 nl/min. Samples were measured in data-dependent acquisition with a (TopN) MS method in which one full scan (300–1,650 m/z, R = 60,000 at 200 m/z, maximum injection time 120 ms) at a target of 3 × 106 ions was first performed, followed by 10 data-dependent MS/MS scans with higher energy collisional dissociation (AGC target 105 ions, maximum injection time at 120 ms, isolation window 1.6 m/z, normalized collision energy 27%, R = 15,000 at 200 m/z). Dynamic exclusion of 40 s and the Apex trigger from 4 to 7 s was enabled.
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2

Optimized Phosphopeptide Analysis via Q Exactive HF-X

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The phosphopeptides were analyzed using Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Fischer Scientific) coupled online to a nanoflow EASY-nLC1000 HPLC (Thermo Fisher Scientific). Briefly, the phosphopeptides were loaded onto an in house packed 50 cm C18 column with a 75 μM inner diameter (1.9 μM ReproSil particles, Dr. Maisch GmbH). The temperature of the column was maintained at 50°C by an in-house made column oven. The phosphopeptides were separated in a duration of 140-minute gradient with two mobile phase system buffer A (0.1% formic acid) and buffer B (60% ACN plus 0.1% formic acid) at a flow rate of 300 nl/min. The electro sprayed peptides were analyzed by the Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Fischer Scientific) in a data dependent mode, with one survey scan at a target of 3×106 ions (300–1650 m/z, R=60,000 at 200 m/z), followed by Top10 MS/MS scans with HCD (high energy collisional dissociation) based fragmentation (target 1×105 ions, maximum filling time 120ms, Isolation window 1.6 m/z, and normalized collision energy 27%), detected in the Orbitrap (R=15,000 at 200 m/z). Apex trigger 4 to 7s, charge exclusion (unassigned, 1, 5, −8 & >8), and dynamic exclusion 40s were enabled.
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3

Quantitative Proteomics of Mouse Kidney

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Each mouse kidney tissue was ground into powder in nitrogen., then lysis buffer (0.1 M Tris-HCL, pH 7.5, 4% SDS, 0.1 M DTT) was added, and the mixture was sonicated with 20 cycles of pulses (30 s each on/off, 80% power; CosmoSonic II Ultra Sonicator). After heating for 10 min at 95 °C, the lysate was centrifuged at 16,000 × g for 20 min at room temperature. The protein concentrations were determined by measuring tryptophan fluorescence66 (link). 100 μg protein was digested by the FASP method67 (link). Each sample peptides were loaded onto a 20-cm column packed in-house with C18 3 μM ReproSil particles (Dr. Maisch GmbH), with an EASY-nLC 1200 system (Thermo Fisher Scientific) coupled to the mass spectrometer (Q Exactive Plus, Thermo Fisher Scientific). Column temperature was maintained at 50 °C. Peptides were separated with a 120 min gradient at a flow rate of 300 nL/min. Each sample was detected twice. The raw data files were processed using software MaxQuant (http://www.maxquant.org.) version 1.6.2.10 with an FDR < 0.01 at the levels of proteins and peptides. The MS/MS spectra were searched against the Homo sapiens protein database in UniProt (January 2021). Bioinformatics analyses were carried out with R version 4.1.0 (https://www.r-project.org/) statistical computing software.
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