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PXD072519-1
PXD072519 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | DIA-PASEF–based FLAG-IP proteomic analysis of nuclear or cytosolic p62 condensates in HeLa cells |
| Description | Cells were cross-linked with 0.1% formaldehyde for 10 min at 25 °C and quenched with 100 mM glycine. After washing with HBS (20 mM HEPES-NaOH, pH 7.5, 150 mM NaCl), cells were lysed in HEPES-RIPA buffer (20 mM HEPES-NaOH, pH 7.5, 150 mM NaCl, 1 mM MgCl₂, 1 mM EGTA, 1% NP-40, 0.25% sodium deoxycholate, 0.05% SDS) supplemented with EDTA-free protease inhibitors, phosphatase inhibitors, and Benzonase. Lysates were clarified by centrifugation (4 ºC), and supernatants were incubated with anti-FLAG M2 magnetic beads (Sigma, M8823) for 2 h at 4 °C with rotation. Beads were washed three times with HEPES-RIPA buffer and twice with 50 mM ammonium bicarbonate. On-bead digestion was performed with 200 ng of trypsin/Lys-C mix overnight at 37 °C. Peptides were reduced, alkylated, acidified, desalted using GL-Tip SDB, dried, and reconstituted in 0.1% TFA and 3% ACN. LC-MS/MS analysis of the resultant peptides was performed on a nanoElute 2 coupled with a timsTOF HT mass spectrometer (Bruker). The peptides were separated on a 75-μm inner diameter × 150 mm C18 reversed-phase column (Nikkyo Technos) with a linear 5%–35% ACN gradient for 0–60 min followed by an increase to 95% ACN for 1 min and a final hold at 80% ACN for 4 min. Data acquisition was conducted in dia-PASEF mode with an MS1 m/z range of 100–1700 and an ion mobility (1/K0) range of 0.6–1.6. The ramp time was set to 100 ms with a 100% duty cycle. The MS2 polygon was manually defined based on the region where peptides were predominantly detected, specifically using the following four vertices: Point 1 (m/z = 300, 1/K0 = 0.64), Point 2 (m/z = 300, 1/K0 = 0.8), Point 3 (m/z = 770, 1/K0 = 0.97), and Point 4 (m/z = 770, 1/K0 = 1.15). Within the defined polygon, an 8 Da isolation window was employed with an overlap of 0.5 Da for each window, resulting in 62 windows per cycle and a cycle time of 3.36 s. Protein identification was carried out in DIA-NN (version 1.9) against a human in silico spectral library. Parameters for constructing the library included: trypsin as the digestion enzyme, one allowed missed cleavage, peptide lengths ranging from 7 to 45 amino acids, precursor charges of 2 to 4, and a fragment ion m/z range of 200–1800. Features such as library-free search, deep learning-based retention time and ion mobility predictions, N-terminal methionine cleavage, and cysteine carbamidomethylation were enabled. In the DIA-NN search settings, MS1 and MS2 mass accuracies were set to auto, neural network classifiers were configured for single-pass mode, and the quantification strategy was set to QuantUMS (high precision). |
| HostingRepository | jPOST |
| AnnounceDate | 2025-12-30 |
| AnnouncementXML | Submission_2025-12-30_06:07:01.302.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Hidetaka Kosako |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
| ModificationList | L-methionine sulfoxide; Acetyl; S-carboxamidomethyl-L-cysteine |
| Instrument | instrument |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-12-30 06:06:41 | ID requested | |
| ⏵ 1 | 2025-12-30 06:07:01 | announced | |
| 2 | 2026-02-07 03:54:15 | announced | 2026-02-07: Updated PubMed. |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: DIA-PASEF, FLAG-IP, p62 condensates, HeLa cells |
Contact List
| Aaron Ciechanover | |
|---|---|
| lab head | |
| Hidetaka Kosako | |
| contact affiliation | Tokushima University |
| dataset submitter | |
Full Dataset Link List
| jPOST dataset URI |
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.jpostdb.org/JPST004284/ |




