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Dataset Identifier

Metadata
datasetIdentifierPASS01464
datasetTypeMSMS
submitterAngela Bachi <angela.bachi@ifom.eu>
submitter_organizationIFOM
lab_head_full_name
lab_head_emailAngela Bachi
lab_head_organizationIFOM
lab_head_countryItaly
datasetTagBirIRSP53
datasetTitleProteomic analysis of BirIRSP53 in HeLa cells
publicReleaseDate2020-05-18 00:00:00
finalizedDate2020-05-14 23:37:03
summaryProteomic analysis of BirIRSP53 in HeLa cells, SILAC experiments Forward and Reverse
contributorsSara Bisi, Andrea Disanza, Angela Cattaneo, Angela Bachi, Giorgio Scita
publicationBisi et al. IRSp53 shapes the plasma membrane and controls polarized transport at nascent lumens during epithelia morphogenesis, submitted
growth
treatment
extraction
separationProtein separation by SDS-Page.

Peptide separation: 5µl of each digested sample from the forward and reverse experiments were loaded on a nLC–ESI–MS/MS quadrupole Orbitrap QExactive mass spectrometer (Thermo Fisher Scientific). Peptides were separated on a linear gradient from 95% solvent A (2% ACN, 0.1% formic acid) to 40% solvent B (80% acetonitrile, 0.1% formic acid) over 30 min and from 40 to 100% solvent B in 3 min at a constant flow rate of 0.25 µl/min on UHPLC Easy-nLC 1000 (Thermo Scientific) where the LC system was connected to a 25-cm fused-silica emitter of 75 µm inner diameter (New Objective, Inc. Woburn, MA, USA), packed in-house with ReproSil-Pur C18-AQ 1.9 µm beads (Dr Maisch Gmbh, Ammerbuch, Germany).
digestionGel slices were excised from the gel sampling the entire length of the lanes, reduced with 10mM Dithiothreitol (DTT), alkylated with 55mM Iodoacetamide (IAA) and finally digested overnight with Trypsin. After acidification, peptide mixtures were concentrated and desalted on homemade StageTips µC18, ), dried in a Speed- Vac and resuspended in 12-15µL of solvent A (2 % ACN, 0.1% FA).
acquisitionMS data were acquired using a data-dependent top 12 method for HCD fragmentation. Survey full scan MS spectra (300–1650 Th) were acquired in the Orbitrap with 70000 resolution, AGC target 3e6, IT 60 ms.

For HCD spectra, resolution was set to 17 500 at m/z 200, AGC target 1e5, IT 120 ms; Normalized Collision energy 25% and isolation with 2.0 m/z. Technical replicates were conducted on the LC–MS-MS part of the analysis.
informaticsRaw data were processed with MaxQuant ver. 1.4.1.2. Peptides were identified from the MS/MS spectra searched against the uniprot_human_2014_10 database, trypsin specificity and up to two missed cleavages. Cysteine carbamidomethylation was used as fixed modification, methionine oxidation and protein N-terminal acetylation as variable modifications. Mass deviation for MS/MS peaks was set at 20 ppm. The peptides and protein FDR were set to 0.01; the minimal length required for a peptide was six amino acids; a minimum of two peptides and at least one unique peptide were required for high-confidence protein identification. Identified proteins were filtered to eliminate reverse hits and known contaminants. For quantitative analysis, “re-quantify” and “second peptide” options were selected.
instrumentsThermo Fisher Scientific LC–ESI–MS-MS quadrupole Orbitrap QExactive
speciesHuman
massModificationsstatic: C+57.021464, variable: K+8.014199, R+10.008269, M+ 15.994915, Protein N-term+ 42.010565

Official URL for this dataset: http://www.peptideatlas.org/PASS/PASS01464
To access files via FTP, use credentials:
Servername: ftp.peptideatlas.org
Username: PASS01464
Password: AJ6865n

Or use your browser's FTP mode: ftp://PASS01464:AJ6865n@ftp.peptideatlas.org/


Listing of files:

 3.1K Oct  4  2019 PASS01464_DESCRIPTION-2019-09-04_051412.txt
 3.1K May 14  2020 PASS01464_DESCRIPTION.txt
 226M Oct  4  2019 SB_GS_141107_1.raw
 188M Oct  4  2019 SB_GS_141107_10.raw
 216M Oct  4  2019 SB_GS_141107_2.raw
 208M Oct  4  2019 SB_GS_141107_3.raw
 193M Oct  4  2019 SB_GS_141107_4.raw
 196M Oct  4  2019 SB_GS_141107_5.raw
 207M Oct  4  2019 SB_GS_141107_6.raw
 208M Oct  4  2019 SB_GS_141107_7.raw
 201M Oct  4  2019 SB_GS_141107_8.raw
 204M Oct  4  2019 SB_GS_141107_9.raw
 262M Oct  4  2019 SB_GS_141107_bis_1.raw
 186M Oct  4  2019 SB_GS_141107_bis_10.raw
 212M Oct  4  2019 SB_GS_141107_bis_2.raw
 207M Oct  4  2019 SB_GS_141107_bis_3.raw
 238M Oct  4  2019 SB_GS_141107_bis_4.raw
 178M Oct  4  2019 SB_GS_141107_bis_5.raw
 183M Oct  4  2019 SB_GS_141107_bis_6.raw
 177M Oct  4  2019 SB_GS_141107_bis_7.raw
 187M Oct  4  2019 SB_GS_141107_bis_8.raw
 200M Oct  4  2019 SB_GS_141107_bis_9.raw
 252M Oct  4  2019 SB_GS_150112_01.raw
 271M Oct  4  2019 SB_GS_150112_02.raw
 252M Oct  4  2019 SB_GS_150112_03.raw
 245M Oct  4  2019 SB_GS_150112_04.raw
 230M Oct  4  2019 SB_GS_150112_05.raw
 240M Oct  4  2019 SB_GS_150112_06.raw
 223M Oct  4  2019 SB_GS_150112_07.raw
 224M Oct  4  2019 SB_GS_150112_08.raw
 181M Oct  4  2019 SB_GS_150112_09.raw
 187M Oct  4  2019 SB_GS_150112_10.raw
 247M Oct  4  2019 SB_GS_150112_bis_01.raw
 249M Oct  4  2019 SB_GS_150112_bis_02.raw
 255M Oct  4  2019 SB_GS_150112_bis_03.raw
 250M Oct  4  2019 SB_GS_150112_bis_04.raw
 234M Oct  4  2019 SB_GS_150112_bis_05.raw
 245M Oct  4  2019 SB_GS_150112_bis_06.raw
 230M Oct  4  2019 SB_GS_150112_bis_07.raw
 230M Oct  4  2019 SB_GS_150112_bis_08.raw
 191M Oct  4  2019 SB_GS_150112_bis_09.raw
 199M Oct  4  2019 SB_GS_150112_bis_10.raw
 1.9K Oct  4  2019 parameters.txt

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