Literature DB >> 26937473

Proteome stability analysis of snap frozen, RNAlater preserved, and formalin-fixed paraffin-embedded human colon mucosal biopsies.

Tue Bjerg Bennike1, Kenneth Kastaniegaard2, Simona Padurariu3, Michael Gaihede4, Svend Birkelund2, Vibeke Andersen5, Allan Stensballe2.   

Abstract

Large repositories of well characterized RNAlater preserved samples and formalin-fixed, paraffin-embedded samples have been generated worldwide. However, the impact on the proteome of the preservation methods remain poorly described. Therefore, we analyzed the impact on the proteome of preserving samples in RNAlater, and by formalin-fixation, paraffin-embedding on human soft tissue, using directly frozen samples as a control ("Comparing the proteome of snap frozen, RNAlater preserved, and formalin-fixed paraffin-embedded human tissue samples" [1]). We here report the data from the analysis. The comparative analysis was performed on 24 colon mucosa biopsies, extracted from the sigmoideum of two gastroenterologically healthy participants for the purpose of this study. A set of biopsies were additionally stored for 30 min at room temperature prior to formalin-fixation. The samples were analyzed by high throughput gel free quantitative proteomics. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PRIDE: PXD002029.

Entities:  

Keywords:  Colon; FFPE; Human; LC–MS; Mucosa; Proteomics; RNAlater; Snap-frozen; Stability

Year:  2016        PMID: 26937473      PMCID: PMC4753390          DOI: 10.1016/j.dib.2016.01.061

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


Specifications Table Value of the data The dataset allows for assessing the impact of the commonly used sample preservation methods direct-freezing, RNAlater preservation, and formalin-fixed, paraffin-embedded, on protein identifications, post-translational modifications, and protein abundances. The dataset allows for assessing the impact on the proteome of delaying tissue stabilization for 30 min. The dataset can be used to build enhanced spectral libraries, e.g. for data-independent acquisition methods and identify colon-specific proteins due to the well characterized origin and processing of the samples. Our results demonstrate the feasibility in preserving tissue samples in RNAlater, enabling coupled proteomics, transcriptomics, and genomic studies from uniformly preserved samples.

Data

Human colon mucosal biopsies were extracted and either directly frozen with liquid nitrogen (DF), preserved in RNAlater, or formalin-fixed, paraffin-embedded (iFFPE). One set of biopsies were stored for 30 min (sFFPE) at ambient temperature before stabilization in formalin. The biopsies were analyzed by label-free proteomics, resulting in Thermo MS raw-files (Table 1) and text-based protein identification and quantification result-files (Table 2). All files have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository and can be downloaded by using the dataset identifier PXD002029 [2], [3]. Additionally, the full list of identified proteins in the colon biopsies (< 1% false discovery rate) has been submitted (Supplementary Table 1). The full analysis and interpretation of the data has been published in EuPa Open Proteomics 2015 [1].
Table 1

Description of raw file-names in the ProteomeXchange repository PXD002029. DF: directly frozen; iFFPE: immediate formalin-fixed, paraffin-embedded; sFFPE: stored for 30 min prior to formalin-fixed, paraffin-embedded. Each file represents an analysis of one biopsy.

Raw-filesSamples typeParticipantProtocol
Colon_ParticipantA_DF_1.rawHuman colon mucosaADF
Colon_ParticipantA_DF_2.rawHuman colon mucosaADF
Colon_ParticipantA_DF_3.rawHuman colon mucosaADF
Colon_ParticipantA_RNAlater_1.rawHuman colon mucosaARNAlater
Colon_ParticipantA_RNAlater_2.rawHuman colon mucosaARNAlater
Colon_ParticipantA_RNAlater_3.rawHuman colon mucosaARNAlater
Colon_ParticipantA_iFFPE_1.rawHuman colon mucosaAiFFPE
Colon_ParticipantA_iFFPE_2.rawHuman colon mucosaAiFFPE
Colon_ParticipantA_iFFPE_3.rawHuman colon mucosaAiFFPE
Colon_ParticipantA_sFFPE_1.rawHuman colon mucosaAsFFPE
Colon_ParticipantA_sFFPE_2.rawHuman colon mucosaAsFFPE
Colon_ParticipantA_sFFPE_3.rawHuman colon mucosaAsFFPE
Colon_ParticipantB_DF_1.rawHuman colon mucosaBDF
Colon_ParticipantB_DF_2.rawHuman colon mucosaBDF
Colon_ParticipantB_DF_3.rawHuman colon mucosaBDF
Colon_ParticipantB_RNAlater_1.rawHuman colon mucosaBRNAlater
Colon_ParticipantB_RNAlater_2.rawHuman colon mucosaBRNAlater
Colon_ParticipantB_RNAlater_3.rawHuman colon mucosaBRNAlater
Colon_ParticipantB_iFFPE_1.rawHuman colon mucosaBiFFPE
Colon_ParticipantB_iFFPE_2.rawHuman colon mucosaBiFFPE
Colon_ParticipantB_iFFPE_3.rawHuman colon mucosaBiFFPE
Colon_ParticipantB_sFFPE_1.rawHuman colon mucosaBsFFPE
Colon_ParticipantB_sFFPE_2.rawHuman colon mucosaBsFFPE
Colon_ParticipantB_sFFPE_3.rawHuman colon mucosaBsFFPE
Table 2

Description of other file-names in the ProteomeXchange repository PXD002029.

FilenameDescription
biopsies_combined_search.zipThe zipped MaxQuant result folder “combined”, containing the result of the label-free analysis as well as additional information.
uniprot-proteome_3AUP000005640_iso.fastaUniprot human reference proteome database used to identify proteins in the dataset.
FASTA info.txtAdditional information about the utilized Uniprot database, e.g. protein count, date ect.

Experimental design, materials and methods

Collection of sample material

Colon mucosal biopsies were sampled from the sigmoideum of two gastroenterologically healthy participants, by endoscopy at Hospital of Southern Jutland, Aabenraa, Denmark [4]. Twelve biopsies were extracted from each person approximately 40 cm from the anus. All biopsies had an approximate size of 1−2 mm3, and the biopsies were preserved by four different methods: (1) directly frozen biopsies (DF) were immediately transferred to individual cryotubes and snap-frozen with liquid nitrogen followed by storage at −80 °C for one month prior to sample processing and proteome analysis. (2) RNAlater biopsies were immediately transferred to individual cryotubes prefilled with 0.5 mL RNAlater (Life Technologies, Carlsbad, CA, USA), stored at room temperature for 24 h followed by storage at −80 °C for one month prior to sample processing and proteome analysis. FFPE biopsies were placed in preparation cartridges and either immediately (iFFPE) stabilized in 4% formalin, or stored for 30 min (sFFPE) at ambient temperature before stabilization with 4% formalin. Paraffin embedding was performed after one week at the Department of Pathology, Aalborg University Hospital, Denmark, according to current standards. The FFPE prepared samples were subsequently stored for three weeks at room temperature prior to sample processing and proteome analysis. The project was approved by The Regional Scientific Ethical Committee (S-20120204) and the Danish Data Protection Agency (2008-58-035), and all participants had given informed consent to participate.

Sample preparation

We utilized a modified FASP tryptic protein digestion protocol for the sample preparation to facilitate surfactant removal [7], [8], [9], [10], [11], [12], [13], [14], [15]. RNAlater and DF preserved samples were homogenized in 0.5 mL lysis buffer (12 mM sodium deoxycholate, 12 mM sodium dodecyl sulfate (SDC) in 300 mM Tris/HCl, pH 9.0) with steel beads, using a Bullet Blender Gold power-setting 10 for 5 min (Next Advance Inc., Averill Park, NY, USA). The homogenized samples were incubated at 95 °C for 10 min and sonicated for 10 min. FFPE tissues were extracted using a scalpel, deparaffinized and rehydrated by washing in xylene (3×), and in 100% ethanol (2×), 96% ethanol (2×), 70% ethanol (2×), water. The samples were homogenized in 0.5 mL lysis buffer with steel beads, using a Bullet Blender Gold power-setting 10 for 5 min (Next Advance Inc., Averill Park, NY, USA). The homogenized samples were incubated at 95 °C for 60 min, and the samples were sonicated for 10 min. Total protein concentration was determined by BCA and absorbance at 280 nm (A280) using a NanoDrop 1000 UV–vis Spectrophotometer (Thermo Scientific, Waltham, MA, USA). A volume corresponding to 100 µg protein was transferred to YM-30 kDa spin filters for protein digestion (Millipore, Billerica, MA, USA) and centrifuged. All centrifugation steps were performed at 14,000g for 15 min at 4 °C. Protein disulfide bonds were reduced with 12 mM tris(2-carboxyethyl)phosphine (Thermo Scientific, Waltham, MA, USA) for 30 min at 37 °C, and alkylate with 50 mM chloroacetamide (Sigma-Aldrich, St. Louis, MO, USA) for 20 min at 37 °C, and centrifuged after each step. The reducing and alkylating agents were dissolved in 120 mM SDC in 50 mM triethylammonium bicarbonate (TEAB), pH 8.5. In preparation for digestion, 400 µL digestion buffer (12 mM SDC in 50 mM TEAB) was added to the spin filter and centrifuged. A 1:50 (w/w) trypsin:protein ratio dissolved in 50 µL digestion buffer was added to the spin filter, and the samples were digested overnight at 37 °C. The flow-through containing the peptides was retrieved by addition of 50 µL digestion buffer and centrifugation. SDC was removed by performing phase separations with 3:1 (v/v) ethyl acetate:sample, acidified by addition of FA to a final concentration of 0.5%. Total phase separation was achieved by 2 min agitation followed by centrifugation. The aqueous phase was collected and vacuum centrifuged overnight and the dry peptide product was stored at −80 °C until time of analysis.

Mass spectrometry analysis

The samples were resuspended in 2% ACN, 0.1% FA, briefly sonicated, and 5 µg total peptide material was analyzed per LC-MS analysis, in a random sample order [16]. The samples were analyzed using a UPLC-nanoESI MS/MS setup with an UltiMate 3000 UHPLC system (Dionex, Sunnyvale, CA, USA) upgraded with a RSLC nanopump module. The system was coupled online with an emitter for nanospray ionization (New objective picotip 360-20-10) to a Q Exactive Plus mass spectrometer (Thermo Scientific, Waltham, USA). The peptide material was loaded onto a 2 cm trapping reversed phase Acclaim PepMap RSLC C18 column (Dionex), and separated using an analytical 50 cm reversed phase Acclaim PepMap RSLC C18 column (Dionex). Both columns were kept at 40 °C. The sample was eluted with a gradient of 96% solvent A (0.1% FA) and 4% solvent B (0.1% FA in ACN), which was increased to 30% solvent B on a 180 min ramp gradient at a constant flow rate of 300 nL/min. The mass spectrometer was operated in positive mode, selecting up to 12 precursor ions with a mass window of m/z 1.6 based on highest intensity for HCD fragmenting, at a normalized collision energy of 27. Selected precursors were dynamically excluded for fragmentation for 30 s.

Protein identification and quantitation

A label-free quantative analysis was performed in MaxQuant 1.5.1.2. The raw-files were searched against the Uniprot Homo sapiens reference proteome (UP000005640, last modified 2015-01-16, protein count 68,015) [17], [18]. All standard settings were employed with carbamidomethyl (C) as a static modification and protein N-terminal acetylation, deamidation (NQ), oxidation (M) and peptide N-terminal formylation as variable modifications [5], [6]. All reverse hits and proteins tagged as contaminants were removed from further analysis, and all proteins are reported below 1% false discovery rate.
Subject areaBiology
More specific subject areaAnalysis of human colon tissue proteome stability, using different preservation methods.
Type of dataRaw files and text/excel files
How data was acquiredData was acquired by bottom-up mass spectrometry on a Q Exactive plus (Thermo Scientific, Waltham, MA, USA) platform. The data was processed with MaxQuant.
Data formatRaw and Analyzed data.
Experimental factorsFollowing extraction, the human samples were preserved by direct freezing with liquid nitrogen, preserved in RNAlater, immediately formalin-fixed, paraffin-embedded, or stored for 30 min and formalin-fixed, paraffin-embedded.
Experimental featuresThe solubilized proteins were extracted and digested using a modified filter aided sample preparation protocol with trypsin. The peptide material was purified by ethyl-acetate phase inversion and analyzed by electrospray ionization liquid chromatography mass spectrometry. The raw-files were processed in the MaxQuant program package.
Data source locationLaboratory of Medical Mass Spectrometry, Department of Health Science and Technology, Aalborg University, Denmark.
Data accessibilityData is within this article. MS proteomics data and search result files have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PRIDE: PXD002029.
  14 in total

1.  Sample preparation and digestion for proteomic analyses using spin filters.

Authors:  Linda L Manza; Sheryl L Stamer; Amy-Joan L Ham; Simona G Codreanu; Daniel C Liebler
Journal:  Proteomics       Date:  2005-05       Impact factor: 3.984

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

4.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

Authors:  Ileana R León; Veit Schwämmle; Ole N Jensen; Richard R Sprenger
Journal:  Mol Cell Proteomics       Date:  2013-06-21       Impact factor: 5.911

5.  Andromeda: a peptide search engine integrated into the MaxQuant environment.

Authors:  Jürgen Cox; Nadin Neuhauser; Annette Michalski; Richard A Scheltema; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-22       Impact factor: 4.466

Review 6.  Biomarkers in inflammatory bowel diseases: current status and proteomics identification strategies.

Authors:  Tue Bennike; Svend Birkelund; Allan Stensballe; Vibeke Andersen
Journal:  World J Gastroenterol       Date:  2014-03-28       Impact factor: 5.742

7.  Phase transfer surfactant-aided trypsin digestion for membrane proteome analysis.

Authors:  Takeshi Masuda; Masaru Tomita; Yasushi Ishihama
Journal:  J Proteome Res       Date:  2008-02       Impact factor: 4.466

8.  Neutrophil Extracellular Traps in Ulcerative Colitis: A Proteome Analysis of Intestinal Biopsies.

Authors:  Tue Bjerg Bennike; Thomas Gelsing Carlsen; Torkell Ellingsen; Ole Kristian Bonderup; Henning Glerup; Martin Bøgsted; Gunna Christiansen; Svend Birkelund; Allan Stensballe; Vibeke Andersen
Journal:  Inflamm Bowel Dis       Date:  2015-09       Impact factor: 5.325

9.  The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.

Authors:  Juan Antonio Vizcaíno; Richard G Côté; Attila Csordas; José A Dianes; Antonio Fabregat; Joseph M Foster; Johannes Griss; Emanuele Alpi; Melih Birim; Javier Contell; Gavin O'Kelly; Andreas Schoenegger; David Ovelleiro; Yasset Pérez-Riverol; Florian Reisinger; Daniel Ríos; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

10.  ProteomeXchange provides globally coordinated proteomics data submission and dissemination.

Authors:  Juan A Vizcaíno; Eric W Deutsch; Rui Wang; Attila Csordas; Florian Reisinger; Daniel Ríos; José A Dianes; Zhi Sun; Terry Farrah; Nuno Bandeira; Pierre-Alain Binz; Ioannis Xenarios; Martin Eisenacher; Gerhard Mayer; Laurent Gatto; Alex Campos; Robert J Chalkley; Hans-Joachim Kraus; Juan Pablo Albar; Salvador Martinez-Bartolomé; Rolf Apweiler; Gilbert S Omenn; Lennart Martens; Andrew R Jones; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

View more
  10 in total

1.  Proteomics-based Predictive Model for the Early Detection of Metastasis and Recurrence in Head and Neck Cancer.

Authors:  Ilda Patrícia Ribeiro; Luísa Esteves; Sandra Isabel Anjo; Francisco Marques; Leonor Barroso; Bruno Manadas; Isabel Marques Carreira; Joana Barbosa Melo
Journal:  Cancer Genomics Proteomics       Date:  2020 May-Jun       Impact factor: 4.069

2.  Impact of tissue preservation on collagen fiber architecture.

Authors:  H N Hutson; C Kujawa; K Eliceiri; P Campagnola; K S Masters
Journal:  Biotech Histochem       Date:  2018-10-24       Impact factor: 1.718

3.  DNA damage and growth hormone hypersecretion in pituitary somatotroph adenomas.

Authors:  Anat Ben-Shlomo; Nan Deng; Evelyn Ding; Masaaki Yamamoto; Adam Mamelak; Vera Chesnokova; Artak Labadzhyan; Shlomo Melmed
Journal:  J Clin Invest       Date:  2020-11-02       Impact factor: 14.808

4.  Proteomics dataset: The colon mucosa from inflammatory bowel disease patients, gastrointestinal asymptomic rheumatoid arthritis patients, and controls.

Authors:  Tue Bjerg Bennike; Thomas Gelsing Carlsen; Torkell Ellingsen; Ole Kristian Bonderup; Henning Glerup; Martin Bøgsted; Gunna Christiansen; Svend Birkelund; Vibeke Andersen; Allan Stensballe
Journal:  Data Brief       Date:  2017-10-06

5.  Transcriptome and proteome responses in RNAlater preserved tissue of Arabidopsis thaliana.

Authors:  Colin P S Kruse; Proma Basu; Darron R Luesse; Sarah E Wyatt
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

6.  Quality assessment of tissue samples stored in a specialized human lung biobank.

Authors:  Michael Lindner; Alicia Morresi-Hauf; Anja Stowasser; Alexander Hapfelmeier; Rudolf A Hatz; Ina Koch
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

7.  Adipose gene expression profiles reveal insights into the adaptation of northern Eurasian semi-domestic reindeer (Rangifer tarandus).

Authors:  Kisun Pokharel; Laura Niiranen; Melak Weldenegodguad; Päivi Soppela; Innokentyi Ammosov; Mervi Honkatukia; Heli Lindeberg; Jaana Peippo; Tiina Reilas; Nuccio Mazzullo; Kari A Mäkelä; Tommi Nyman; Arja Tervahauta; Karl-Heinz Herzig; Florian Stammler; Juha Kantanen
Journal:  Commun Biol       Date:  2021-10-07

8.  ⿿Comparing the proteome of snap frozen, RNAlater preserved, and formalin-fixed paraffin-embedded human tissue samples.

Authors:  Tue Bjerg Bennike; Kenneth Kastaniegaard; Simona Padurariu; Michael Gaihede; Svend Birkelund; Vibeke Andersen; Allan Stensballe
Journal:  EuPA Open Proteom       Date:  2015-11-02

9.  Identification of brain antigens recognized by autoantibodies in experimental autoimmune encephalomyelitis-induced animals treated with etomoxir or interferon-β.

Authors:  Anne Skøttrup Mørkholt; Kenneth Kastaniegaard; Michael Sloth Trabjerg; Gopana Gopalasingam; Wanda Niganze; Agnete Larsen; Allan Stensballe; Søren Nielsen; John Dirk Nieland
Journal:  Sci Rep       Date:  2018-05-04       Impact factor: 4.379

10.  Sample Preservation and Storage Significantly Impact Taxonomic and Functional Profiles in Metaproteomics Studies of the Human Gut Microbiome.

Authors:  Oskar Hickl; Anna Heintz-Buschart; Anke Trautwein-Schult; Rajna Hercog; Peer Bork; Paul Wilmes; Dörte Becher
Journal:  Microorganisms       Date:  2019-09-19
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.