Literature DB >> 26217692

BioID data of c-MYC interacting protein partners in cultured cells and xenograft tumors.

Pak-Kei Chan1, Tharan Srikumar1, Dharmendra Dingar1, Manpreet Kalkat1, Linda Z Penn1, Brian Raught1.   

Abstract

BioID was performed using FlagBirA⁎ (the R118G biotin ligase mutant protein) and FlagBirA⁎-Myc in HEK293 T-REx cells maintained both under standard cell culture conditions and as mouse xenografts. The mass spectrometry dataset acquired in this study has been uploaded to the MassIVE repository with ID: MSV000078518, and consists of 28 ⁎.raw MS files acquired on an Orbitrap Velos instrument, collected in data-dependent mode. iProphet processed MS/MS search results are also included as a reference. This study has been published as "BioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors", by Dingar et al. in the Journal of Proteomics, 2014 [1].

Entities:  

Year:  2014        PMID: 26217692      PMCID: PMC4459772          DOI: 10.1016/j.dib.2014.10.001

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data. The first in vivo BioID The first BioID-based c-MYC interactome >100 MYC interactors identified (>30 previously described)

Data, experimental design, materials and methods

In vivo BioID

6–8 week old NOD-SCID male mice were used for the study as per institutional guidelines. Two million FlagBirA⁎ or FlagBirA⁎-MYC 293 cells were injected into the left and right flanks of mice (6–8 weeks, NOD-SCID male mice). On the same day, Myc fusion protein expression was induced with tetracycline hydrochloride (Sigma) in drinking water (2 g/liter) until the experimental end point. Tumors were measured with calipers, and upon reaching ~800 mm3 mice were injected intraperitoneally with 30 ug biotin (0.15 mg/ml in PBS) once per day for two days. On the third day, mice were anesthetised with isofluorane, sacrificed, and xenografts removed and flash frozen. Frozen xenografts were pulverized with a mortar and pestle, and the powder resuspended in ice-cold modified RIPA buffer at 1:5 (w:v; 1% NP-40, 50 mM Tris–HCl pH 7.5, 150 mM NaCl, 1 mM EDTA, 1 mM EGTA, 0.1% SDS, 1:500 protease inhibitor cocktail (Sigma) 0.5% sodium deoxycholate), solubilized in a dounce tissue homogenizer (Kontes), and incubated with 250 U benzonase nuclease (EMD) for 1 h at 4 °C. The solution was sonicated three ×30 s (Fisher Scientific D100 Sonic Dismembrator, output power 7 W) and centrifuged at 27,000g for 30 min at 4 °C. The resulting supernatant was incubated with 30 ul of (RIPA-equilibrated) streptavidin-sepharose beads (GE) with end-over-end rotation for 2 h at 4 °C. Beads were washed 7×1 mL 50 mM ammonium bicarbonate (pH 8.0) prior to tryptic digest.

BioID in cultured cells

The FlagBirA⁎ or FlagBirA⁎-MYC 293 cells (at ~70% confluence) were treated with 1 μg/ml tetracycline for 24 h. Cells were scraped into PBS, pooled, washed twice in 25 ml PBS, and collected by centrifugation at 1000g for 5 min at 4 °C. Cell pellets were lysed in 5 mL ice-cold modified RIPA buffer. 250 U benzonase (EMD) was added, and biotinylated proteins isolated as above.

Mass spectrometry

One microgram of MS-grade TPCK trypsin (Promega, Madison, WI) dissolved in 70 μl of 50 mM ammbic (pH 8.3) was added to the streptavidin-sepharose beads and incubated at 37 °C overnight. The eluate was collected and beads washed twice in 100 ul 50 mM ammonium bicarbonate. The combined eluate was lyophilized and brought up in 0.1% formic acid. Liquid chromatography analytical columns (75 um inner diameter) and pre-columns (150 um inner diameter) were made in-house from fused silica capillary tubing from InnovaQuartz (Phoenix, AZ) and packed with 100 Å C18-coated silica particles (Magic, Michrom Bioresources, Auburn, CA). Peptides were subjected to nanoflow liquid chromatography – electrospray ionization – tandem mass spectrometry (nLC-ESI-MS/MS), using a 95 min reversed phase (10–40% acetonitrile, 0.1% formic acid) buffer gradient running at 250 nL/min on a Proxeon EASY-nLC pump in-line with a hybrid linear quadrupole ion trap (Velos LTQ) Orbitrap mass spectrometer (Thermo Fisher Scientific, Waltham, MA). A parent ion scan was performed in the Orbitrap, using a resolving power of 60,000. Simultaneously, up to the twenty most intense peaks were selected for MS/MS (minimum ion count of 1000 for activation) using standard CID fragmentation. Fragment ions were detected in the LTQ. Dynamic exclusion was activated such that MS/MS of the same m/z (within a 10 ppm window, exclusion list size 500) detected two times within 15 s were excluded from analysis for 30 s. For protein identification, Thermo. RAW files were converted to the .mzXML format using Proteowizard [2], then searched against Human RefSeq Version 45 (appended with cRAP and reversed decoy database based on Refseq v45) using the MASCOT [3] and Comet [4]. Search parameters specified a parent MS tolerance of 15 ppm and an MS/MS fragment ion tolerance of 0.4 Da, with up to two missed cleavages allowed for trypsin. Oxidation of methionine and ubiquitylation of lysine residues were allowed as variable modifications. Each AP was analyzed using at least two technical replicates. Statistical validation of peptide and protein identifications was performed using iProphet [5] as part of the trans-proteomic pipeline [6,7]. For each search, the iProphet probability at 1% error rate was used as a cutoff value to generate SAINT-compatible input files [8,9]. SAINT parameters were as follows: 5000 iterations, low mode off (0), minFold 1 and normalization On (1) [9]. Interactors with a 90% confidence level are reported, and the average peptide counts per two technical runs shown.
Subject areaBiology
More specific subject areaProteomics, Protein–protein interactions
Type of dataMass spectrometry RAW files
How data was acquiredMass Spectrometry (Thermo Orbitrap Velos)
Data formatRAW unprocessed files
Experimental factorsBait protein maintained under standard culture conditions and as xenografts
Experimental featuresBioID using the human c-MYC protein as bait
Data source locationMassIVE
Data accessibilityAvailable on MassIVE, ID: MSV000078518

Value of the data.

The first in vivo BioID

The first BioID-based c-MYC interactome

>100 MYC interactors identified (>30 previously described)


  9 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  A statistical model for identifying proteins by tandem mass spectrometry.

Authors:  Alexey I Nesvizhskii; Andrew Keller; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

3.  Rapid identification of proteins by peptide-mass fingerprinting.

Authors:  D J Pappin; P Hojrup; A J Bleasby
Journal:  Curr Biol       Date:  1993-06-01       Impact factor: 10.834

4.  Significance analysis of spectral count data in label-free shotgun proteomics.

Authors:  Hyungwon Choi; Damian Fermin; Alexey I Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2008-07-20       Impact factor: 5.911

5.  iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates.

Authors:  David Shteynberg; Eric W Deutsch; Henry Lam; Jimmy K Eng; Zhi Sun; Natalie Tasman; Luis Mendoza; Robert L Moritz; Ruedi Aebersold; Alexey I Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2011-08-29       Impact factor: 5.911

6.  Comet: an open-source MS/MS sequence database search tool.

Authors:  Jimmy K Eng; Tahmina A Jahan; Michael R Hoopmann
Journal:  Proteomics       Date:  2012-12-04       Impact factor: 3.984

7.  BioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors.

Authors:  Dharmendra Dingar; Manpreet Kalkat; Pak-Kei Chan; Tharan Srikumar; Swneke D Bailey; William B Tu; Etienne Coyaud; Romina Ponzielli; Max Kolyar; Igor Jurisica; Annie Huang; Mathieu Lupien; Linda Z Penn; Brian Raught
Journal:  J Proteomics       Date:  2014-10-18       Impact factor: 4.044

8.  A cross-platform toolkit for mass spectrometry and proteomics.

Authors:  Matthew C Chambers; Brendan Maclean; Robert Burke; Dario Amodei; Daniel L Ruderman; Steffen Neumann; Laurent Gatto; Bernd Fischer; Brian Pratt; Jarrett Egertson; Katherine Hoff; Darren Kessner; Natalie Tasman; Nicholas Shulman; Barbara Frewen; Tahmina A Baker; Mi-Youn Brusniak; Christopher Paulse; David Creasy; Lisa Flashner; Kian Kani; Chris Moulding; Sean L Seymour; Lydia M Nuwaysir; Brent Lefebvre; Frank Kuhlmann; Joe Roark; Paape Rainer; Suckau Detlev; Tina Hemenway; Andreas Huhmer; James Langridge; Brian Connolly; Trey Chadick; Krisztina Holly; Josh Eckels; Eric W Deutsch; Robert L Moritz; Jonathan E Katz; David B Agus; Michael MacCoss; David L Tabb; Parag Mallick
Journal:  Nat Biotechnol       Date:  2012-10       Impact factor: 54.908

9.  SAINT: probabilistic scoring of affinity purification-mass spectrometry data.

Authors:  Hyungwon Choi; Brett Larsen; Zhen-Yuan Lin; Ashton Breitkreutz; Dattatreya Mellacheruvu; Damian Fermin; Zhaohui S Qin; Mike Tyers; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2010-12-05       Impact factor: 28.547

  9 in total
  7 in total

1.  BioID as a Tool for Protein-Proximity Labeling in Living Cells.

Authors:  Rhiannon M Sears; Danielle G May; Kyle J Roux
Journal:  Methods Mol Biol       Date:  2019

2.  BioID: A Method to Generate a History of Protein Associations.

Authors:  Danielle G May; Kyle J Roux
Journal:  Methods Mol Biol       Date:  2019-05-24

3.  BioID: A Screen for Protein-Protein Interactions.

Authors:  Kyle J Roux; Dae In Kim; Brian Burke; Danielle G May
Journal:  Curr Protoc Protein Sci       Date:  2018-02-21

4.  An AP-MS- and BioID-compatible MAC-tag enables comprehensive mapping of protein interactions and subcellular localizations.

Authors:  Xiaonan Liu; Kari Salokas; Fitsum Tamene; Yaming Jiu; Rigbe G Weldatsadik; Tiina Öhman; Markku Varjosalo
Journal:  Nat Commun       Date:  2018-03-22       Impact factor: 14.919

5.  The interactome of metabolic enzyme carbonic anhydrase IX reveals novel roles in tumor cell migration and invadopodia/MMP14-mediated invasion.

Authors:  M Swayampakula; P C McDonald; M Vallejo; E Coyaud; S C Chafe; A Westerback; G Venkateswaran; J Shankar; G Gao; E M N Laurent; Y Lou; K L Bennewith; C T Supuran; I R Nabi; B Raught; S Dedhar
Journal:  Oncogene       Date:  2017-07-10       Impact factor: 9.867

6.  Dissecting transcriptional amplification by MYC.

Authors:  Zuqin Nie; Chunhua Guo; Subhendu K Das; Carson C Chow; Eric Batchelor; S Stoney Simons; David Levens
Journal:  Elife       Date:  2020-07-27       Impact factor: 8.140

7.  The structure of INI1/hSNF5 RPT1 and its interactions with the c-MYC:MAX heterodimer provide insights into the interplay between MYC and the SWI/SNF chromatin remodeling complex.

Authors:  Susan Sammak; Mark D Allen; Najoua Hamdani; Mark Bycroft; Giovanna Zinzalla
Journal:  FEBS J       Date:  2018-10-01       Impact factor: 5.542

  7 in total

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