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Nanoacquity

Manufactured by Waters Corporation
Sourced in United States, United Kingdom, Germany

The NanoAcquity is a high-performance liquid chromatography (HPLC) system designed for nanoscale separations. It is capable of handling sample volumes from nanoliters to microliters, making it suitable for analyzing small-volume samples. The NanoAcquity system is equipped with precise flow control and advanced detection capabilities to provide high-resolution separation and analysis of complex samples.

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157 protocols using nanoacquity

1

Nano-LC-MS/MS Proteomic Analysis

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All MRM 3 measurements were performed on an ekspert nano-LC 425 (Eksigent) coupled to a QTRAP 6500 (SCIEX). LC separation was carried out using a nanoAcquity (75 m x 25 cm, 1.8 mm, HSS T3) column with a nanoAcquity (180 m x 20 mm, 5m Symmetry C18) trap column (Waters) in trap-elute configuration. Detailed information about instrument setup and acquisition methods are provided in the Supporting Information.
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2

Differential Proteomic Analysis of CLPB Mutant

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Pellet samples were excised as whole lanes from gels, reduced with TCEP, alkylated with iodoacetamide, and digested with trypsin. Tryptic digests were desalted by loading onto a MonoCap C18 Trap Column (GL Sciences), flushed for 5 min at 6 μL/min using 100% Buffer A (H20, 0.1% formic acid), then analyzed via LC (Waters NanoAcquity) gradient using Buffer A and Buffer B (acetonitrile, 0.1% formic acid) (initial 5% B; 75 min 30% B; 80 min 80% B; 90.5–105 min 5% B) on the Thermo Q Exactive HF mass spectrometer. Data were acquired in data-dependent mode. Analysis was performed with the following settings: MS1 60K resolution, AGC target 3e6, max inject time 50 ms; MS2 Top N = 20 15K resolution, AGC target 5e4, max inject time 50 ms, isolation window = 1.5 m/z, normalized collision energy 28%. LC-MS/MS data were searched with full tryptic specificity against the UniProt human database using MaxQuant 1.6.8.0. MS data were also searched for common protein N-terminal acetylation and methionine oxidation. Protein and peptide false discovery rate was set at 1%. LFQ intensity was calculated using the MaxLFQ algorithm (Cox et al., 2014 (link)). Fold enrichment was calculated as LFQ intensity from the ΔCLPB pellet divided by the LFQ intensity from the wild-type pellet. High confidence hits were quantified as minimum absolute fold change of 2 and p-value<0.05.
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3

Shotgun Proteomics on QExactive

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Samples were resuspended in 0.1% FA and transferred into a full recovery autosampler vial (Waters). Chromatographic separation was achieved on a UPLC system (nanoAcquity, Waters) with a two buffer system (buffer A: 0.1% FA in water, buffer B: 0.1% FA in ACN). Attached to the UPLC was a C18 trap column (Symmetry C18 Trap Column, 100 Å, 5 μm, 180 μm × 20 mm, Waters) for online desalting and sample purification followed by an C18 separation column (BEH130 C18 column, 75 μm × 25 cm, 130 Å pore size, 1.7 μm particle size, Waters). Peptides were separated using a 60 min gradient with increasing ACN concentration from 2 to 30% ACN. The eluting peptides were analyzed on a quadrupole orbitrap mass spectrometer (QExactive, Thermo Fisher Scientific) in data dependent acquisition mode.
For LC-MS/MS analysis on the QExactive, the 15 most intense ions per precursor scan (1 × 106 ions, 70,000 Resolution, 100 ms fill time) were analyzed by MS/MS (HCD at 25 normalized collision energy, 2 × 105 ions, 17,500 Resolution, 50 ms fill time) in a range of 400 to 1200 m/z. A dynamic precursor exclusion of 20 s was used.
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4

Peptide Analysis via LC-MS

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Three µg of digested samples were analyzed using the LC–MS system comprising a high-performance liquid chromatography (UPLC) chromatograph (nanoAcquity, Waters) and a Q Exactive mass spectrometer (Thermo). Peptides were trapped on a C18 pre-column (180 µm × 20 mm, Waters) using a 0.1% water solution of FA as a mobile phase then transferred to a BEH C18 column (75 µm × 250 mm, 1.7 µm, Waters) using an ACN gradient (0–35% ACN in 160 min) in the presence of 0.1% FA at a flow rate of 250 nL/min. The spectrometer was working in a data-dependent mode. To prevent cross-contamination, blank runs were performed between the sample runs.
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5

Decellularized Tissue Proteomics

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The ECM component was enriched from frozen whole decellularized tissue sections (20 × 30 μm sections, approximately 40–50 mg of tissue) and analyzed as previously described36 (link) and included solubilizing decellularized tissues in 8 M urea and Lys-C protease aided-digestion. Briefly, the extracted proteins were reduced, alkylated, and digested with trypsin. Peptides were separated by nanoflow ultra-high pressure liquid chromatography (UPLC, NanoAcquity, Waters) and analyzed by mass spectrometry using a LTQ-Orbitrap XL mass spectrometer (Thermo Fisher Scientific). Proteomics raw reads were aligned using MASCOT database62 (link). Proteomics data provided in Supplementary Dataset 6.
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6

Bottom-up Proteomics via HPLC-ESI-MS/MS

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Bottom-up analysis was performed via HPLC-ESI-MS/MS (nanoAcquity,
Waters and LTQ Velos Orbitrap, Thermo Fisher Scientific) as described
previously.37 (link) The
top 10 most intense precursor ions were selected for higher-energy
collisional dissociation (HCD) fragmentation via data-dependent acquisition.
Dynamic exclusion was enabled. A total of 65 raw data files were collected
(10 fractions for trypsin and 11 fractions for each of the other five
proteases).
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7

Quantitative Mass Spectrometry Analysis

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The preparation of samples for MS analysis is described in the Supplementary information. 20 µg of digested protein (2 µl of each sample) was loaded and analyzed by a reverse phase (RP) nanoACQUITY™ ultrapressure liquid chromatography (UPLC) and Synapt G2 or Xevo-qTOF mass spectrometers operating in a data-independent (MSe) mode (Waters). Three technical replicates (sample injections) were done for each run in total. The HDMSe (Synapt G2) or MSe (Xevo-qTOF) data were processed and protein absolute label-free quantification (Silva et al., 2005 (link), 2006 (link)) was performed using Protein Lynx Global Server version 2.5 (Waters). A maximum false discovery rate of 2% was allowed. All protein hits that were identified with a confidence of >95% were included in the quantitative analysis.
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8

Identifying RIPK3 O-GlcNAcylation Sites

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MS strategy was employed to identify RIPK3 O-GlcNAcylation sites, as described in our recent study (Li et al., 2017 (link)). Briefly, immunoprecipitated RIPK3 full length or C-terminal fragment from 293T cells was subjected to SDS-PAGE. The corresponding bands were excised and the proteins were reduced with DTT, alkylated with iodoacetamide, and digested with trypsin overnight, then subjected to LC-MS/MS analysis using a nanoAcquity (Waters Corp) coupled to an LTQ Orbitrap Velos (Thermo Scientific). The LTQ Orbitrap Velos was operated in data-dependent mode, and the 10 most intense precursors were selected for collision-induced dissociation (CID) fragmentation. Raw data files were processed using Proteome Discoverer (PD) version 2.0 (Thermo Scientific). Peak lists were analyzed using Sequest against a Homo sapiens Uniprot database. The following parameters were used to identify tryptic peptides for protein identification: 0.6 Da product ion mass tolerance; 10 ppm precursor ion mass tolerance; up to two missed trypsin cleavage sites; hexNAc (+203.0794 Da) of N/S/T; carbamidomethylation of Cys was set as a fixed modification; oxidation of M and phosphorylation of S/T/Y were set as variable modifications. The Percolator node was used to determine false discovery rates (FDR) and a peptide FDR of 5% were used to filter all results.
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9

Microcapillary LC-MS/MS for Peptide Analysis

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The desalted peptides were resuspended in 50 ul of 0.1% formic acid in water. 1 ul sample was injected for microcapillary liquid chromatography with tandem mass spectrometry using the NanoAcquity (Waters) with a 100- μm-inner-diameter × 10-cm-length C18 column [1.7 (μm) BEH130, Waters] configured with a 180-μm × 2-cm trap column coupled to a Q Exactive Plus mass spectrometer (Thermo Fisher Scientific). Trapping was performed at 15 uL/min (0.1% formic acid) for 1 min. Peptides were eluted with a linear gradient of 0–50% acetonitrile (0.1% formic acid) in water (0.1% formic acid) over 90 min with a flow rate of 300 (nL/min). Full scan MS1 spectra were acquired over 400–1600 (m/z) at 70,000 resolution with max IT of 50 ms and automatic gain control (AGC) at 1 × 106 ions. MS data was collected in data dependent acquisition (DDA) mode scanning the top 10 most intense precursor ions for HCD fragmentation performed at normalized collision energy (NCE) 27% with AGC at 5 × 104 ions, isolation window 1.5 m/z, and dynamic exclusion of 15s. MS/MS spectra were collected with resolution of 17,500.
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10

Peptide Identification by LC-MS/MS

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Tryptic digests were analysed with a LTQ-Orbitrap XL LC−MSn mass spectrometer (Thermo Fisher Scientific, Bremen, Germany) equipped with a nanospray source and coupled to an Ultra High Pressure Liquid Chromatographer (UPLC) system (Waters nanoAcquity, Manchester, U.K.). Initially, 5 μL of sample were loaded, desalted and concentrated in a BEH C18 trapping column (Waters, Manchester, U.K.) with the instrument operated in positive ion mode. The peptides were then separated on a BEH C18 nanocolumn (1.7 μm, 75 μm × 250 mm, Waters) at a flow rate of 300 nL/min using an ACN/water gradient; 1% ACN for 1 min, followed by 0−62.5% ACN over 21 min, 62.5− 85% ACN for 1.5 min, 85% ACN for 2 min and 1% ACN for 15 min.
MS spectra were collected using data-dependent acquisition in the range m/z 400−2,000 using a precursor ion resolution of 30,000, following which individual precursor ions (top 5) were automatically fragmented using collision induced dissociation (CID) with a relative collision energy of 35%. Dynamic exclusion was enabled with a repeat count of 2, repeat duration of 30 s and exclusion duration of 180 s.
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