- Open Access
Histone H3 lysine 27 acetylation is altered in colon cancer
© Karczmarski et al.; licensee BioMed Central Ltd. 2014
Received: 12 December 2013
Accepted: 17 March 2014
Published: 3 June 2014
Histone post-translational modifications (PTMs) play an important role in the regulation of the expression of genes, including those involved in cancer development and progression. However, our knowledge of PTM patterns in human tumours is limited.
MS-based analyses were used to quantify global alterations of histone PTMs in colorectal cancer (CRC) samples. Histones isolated from 12 CRCs and their corresponding normal mucosa by acidic extraction were separated by SDS-PAGE and analysed by liquid chromatography-mass spectrometry.
Among 96 modified peptides, 41 distinct PTM sites were identified, of which 7, 13, 11, and 10 were located within the H2A, H2B, H3, and H4 sequences, respectively, and distributed among the amino-terminal tails and the globular domain of the four histones. Modification intensities were quantified for 33 sites, of which 4 showed significant (p-value ≤ 0.05) differences between CRC tissues and healthy mucosa samples. We identified histone H3 lysine 27 acetylation (H3K27Ac) as a modification upregulated in CRC, which had not been shown previously.
The present results indicate the usefulness of a bottom-up proteomic approach for the detection of histone modifications at a global scale. The differential abundance of H3K27Ac mark in CRC, a PTM associated with active enhancers, suggests its role in regulating genes whose expression changes in CRC.
Colorectal cancer (CRC) is the most common cancer in the Polish population, and the leading cause of cancer-related morbidity and mortality . Most CRCs are sporadic, and only a small proportion is associated with hereditary disorders with high penetration, such as Lynch syndrome, familial adenomatous polyposis and other polyposis syndromes mediated by rare germline mutations in DNA mismatch-repair genes and in the adenomatous polyposis coli (APC) gene .
Cancer is a multi-step process involving successive clonal selection events. The growth advantage of dysplastic cells over their normal neighbours leads to progressive cytological and architectural derangement, and individual cancer phenotypes are the result of cell-specific, developmental stage-specific, and metabolism-related changes in gene expression that occur selectively at specific times and are modified by epigenetic interactions . Epigenetic changes such as DNA and histone modifications, chromatin remodelling and regulation by noncoding RNAs can result in massive deregulation of gene expression during the course of cancer development . The global effects of altered epigenetic patterns in gene regulatory sequences have been determined by the ENCODE project .
Histone post-translational modifications (PTMs) include lysine acetylation, arginine and lysine methylation, phosphorylation, proline isomerization, ubiquitination (Ub), ADP ribosylation, arginine citrullination, SUMOylation, carbonylation and biotinylation . The most common PTMs are acetylation and methylation . Within the five main histone proteins, PTMs can occur at multiple positions, although they are most frequent at histone N-terminal tails . Despite the key role of epigenetic alterations in cancer development, little is known about the patterns of histone PTM alterations in human tumours .
Proteomic methods are largely based on the use of mass spectrometry (MS), a highly specific, effective, and universal technique that does not require complicated multi-step sample preparation. One of the most prominent features of MS is its sensitivity, which enables the detection of attomolar sample concentrations with an error of 0.01% of the total sample mass. Proteomics analyses the composition, amounts, isoforms, and post-translational modifications of cellular proteins .
In the present study, we used MS-based analysis to quantify global alterations of histone PTMs in matched normal and colon cancer samples. Our results showed that histone H3 lysine 27 acetylation (H3K27Ac) is associated with colon cancer.
Qualitative histone protein analyses
LC-MS/MS histone protein identification in gel slices
Histone H2A type 1
Histone H2A type 1-H
Histone H2A type 1-A
Histone H2A type 1-C
Histone H2A type 2-A
Histone H2A type 2-B
Histone H2B type 1-C/E/F/G/I
Histone H2B type 1-D
Histone H2B type 1-H
Histone H2B type 1-J
Histone H2B type 1-L
Histone H2B type 1-O
Histone H2B type 2-E
Histone H2B type F-S
Histone H2B type 1-K
Acetylation, which was observed in 36 lysine residues, was the most prominent of all the studied modifications. In 31 instances, it was the only modification detected on a given site, whereas the remaining 5 sites showed alternative modification variants, including mono-, di- and tri-methylation (three, four, and four sites, respectively). Modifications on arginine residues were significantly less frequent and only a single site of methylation and deamidation was detected in the sequence of the histone H2A. Two serine and two threonine phosphorylation sites were also identified.
A crosscheck with the PhosphoSitePlus  and Histome  databases revealed that although most of the sites had been previously reported, in several cases our survey provided a more comprehensive list of their possible modification. For example, lysine K43 of histone H2B, which is a known ubiquitination site, was shown to have an acetylated variant. A detailed summary of site-modification combinations not covered by the two databases is presented in Additional file 1: Table S4.
List of histone modifications showing differences in abundance ( p -value ≤ 0.05) between cancerous (CRC) and normal (NC) colonic mucosa
H3K27Ac labelling index in matched CRC and corresponding normal tissue sections
Normal colonic section
To determine whether increase in H3K27Ac mark is associated with proliferating cells, we measured its abundance in four resting and dividing CRC cell lines, namely HCT-116, Colo205, HT29 and Caco2, using the western blot. While there were no differences in H3K27Ac levels between quiescent and proliferating cells, variable levels of that mark were found between the cell lines (Additional file 2: Figure S3).
Next, we wished to determine the expression of enzymes controlling H3K27Ac mark. To this end, using quantitative (q) RT-PCR, we measured the mRNA levels of enzymes controlling H3K27Ac mark abundance, namely CBP/p300 acetyltransferases [13, 14] and HDAC1 deacetylase , on 26 CRC and 24 healthy mucosa samples collected in our previous study . These measurements revealed significant downregulation of CBP, p300 and HDAC1 transcripts in CRC (Additional file 2: Figure S4) with a FC of 0.37, 0.34 and 0.7, respectively.
Histone PTMs can affect DNA-histone interactions or inter-nucleosomal contacts, as well as the recruitment of non-histone proteins to chromatin via bromo, chromo and PHD domains [17, 18]. Thus, PTMs are responsible for the regulation of chromatin structure and function, constituting the epigenetic code. Although challenging, traditional MS-based bottom-up analyses allow the identification and characterisation of PTMs without prior knowledge of the modification site or type (reviewed in ).
In the present study, we used a bottom-up proteomic approach to investigate alterations in histone modifications in colon cancer samples and their normal counterparts. We identified 96 modified histone derived peptides, of which 45 site-modification combinations were further quantified, revealing 4 sites with differential abundance between cancerous and normal mucosa. For further validation, we chose histone H3 lysine 27 acetylation because this modification has not been previously shown to be altered in CRC .Protein immunostaining on western blots confirmed the increased K27 acetylation at H3 (Figure 3) and immunohistochemical staining of paired CRC and corresponding normal tissue sections revealed nuclear localisation of acetylated H3 protein (Figure 4). Since different morphology of cells of epithelial type is observed in two types of tissue, the percentage of immunoractive cells (labelling index) was calculated in the representative pictures of each sample and used for the comparison of the two types of colorectal tissue. We found significantly higher H3K27Ac index in CRC samples compared to normal tissue which correspond the results obtained with both of MS and western blot.
Acetylation of lysine residues is a major histone modification involved in the regulation of chromatin structure and transcription. It neutralises the positive charge on the lysine side chain, relaxing the chromatin structure, and it generates docking sites for bromodomain-containing proteins . The balance between the enzymatic activities of histone lysine acetyltransferases and deacetylases regulates the level of histone acetylation. Furthermore, the global level of histone acetylation depends on intracellular acetyl-CoA pools .
Acetyltransferases consist of three families, GNAT, MYST, and CBP/p300, which generally act promiscuously on more than one lysine; however, some specificity has been observed for these enzymes . Aberrant acetylation of histones has been linked to CRC pathogenesis (reviewed in ). Studies suggest that histone acetylation is reduced in CRC and in other tumours ; however, examination of specific sites shows that acetylation can be either up- or downregulated. For example, Fraga et al. used EC-LC-ES/MS and western blot analysis and showed a loss of monoacetylation at H4K16 in CRC cell lines . Global hypoacetylation of H4K12 and H3K18 has been observed in undifferentiated colorectal adenocarcinomas, whereas their acetylation was increased in well-differentiated tumours . Contrary to these findings, the H3K9 hypoacetylation status was positively correlated with tumour histological type and low H3K9Ac was observed in well-differentiated tumours . To the best of our knowledge, aberrant H3K27Ac levels in CRC have not been reported to date. In other solid tumours, namely lung adenocarcinomas and squamous cell carcinomas, the increase in H3K27 acetylation is more pronounced in the tumour compartment than in the corresponding stroma .
H3K27Ac was first discovered in yeast  and is present in animals and plants . Recent advancements in DNA sequencing technology have enabled the analysis of histone modification distribution patterns across the genome. These studies have shown that among histone acetylation marks , H3K27Ac is frequently associated with active enhancer regulatory elements , and genes associated with these enhancers are expressed at higher levels than those lacking the H3K27Ac mark . The H3K27Ac mark is established by CBP/p300 acetyltransferase [13, 14] and is likely erased by RBP3/HDAC1 . Contrary to the report by Ishihama et al. who found CBP/p300 and HDAC1 mRNAs  upregulated in CRC, our qPCR measurements showed decreased levels of these transcripts (Additional file 2: Figure S4). The discrepancy could be due to the differences in the methodologies of transcripts measurements; while Ishihama et al. used both semi-quantitative endpoind RT-PCR and in situ hybridisation , in this study we used qPCR which is regarded as a gold standard for the quantification of nucleic acids . Although other reports highlighted higher abundances of CBP/p300 and HDAC1 proteins in CRC tissue [34, 35], it must be stressed that the alterations in the expression of these epigenetic enzymes are not entirely responsible for specific histone modification levels, because other variables such as substrate availability and enzyme activity may contribute to the final modification.
In conclusion, for the first time, we show that H3K27Ac mark is increased in CRC. Further experiments, which are beyond the scope of this study, such as chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) in colon tissues to examine the distribution of the H3K27Ac mark, may identify enhancer regulatory sites that differ in mark levels between normal and cancerous samples. Such datasets combined with increased knowledge on genome regulatory elements and long genomic interactions deposited in the ENCODE database  could potentially lead to the identification of genes whose expression changes are associated with altered H3K27Ac status.
Patients were selected as described previously . The study protocol was approved by the Cancer Center Bioethics Committee, and all patients signed informed consent forms before inclusion. Twelve sporadic CRC samples and paired full-thickness normal colon fragments were obtained by surgical resection through laparotomy, snap frozen in liquid nitrogen within 10–30 min of harvesting and stored at 72°C until use. To select samples with a high content of normal and dysplastic mucosa, several series of cryostat sections were prepared from different parts of each specimen using a Microm HM 505E (Zeiss, Germany). Histological evaluation of the upper and lower sections from each cryosection collection revealed a 70% median-relative content of normal mucosa (range 40 − 90%) and 50% (20 − 90%) dysplastic mucosa in the specimens. Clinical characteristics and histopathology of the tissue samples used in a study is presented in Additional file 1: Table S5.
Colon adenocarcinoma cell lines
HCT-116, Colo205, HT-29 and Caco2 cell lines were purchased from ATCC and maintained under standard conditions in culture medium (HCT-116 and HT-29 – McCoy’s 5A Medium; Colo205 – RPMI-1650 medium; Caco2 – DMEM medium) supplemented with 10% FBS (Fetal Bovine Serum). Cells were made quiescent by lowering FBS concentration to 0.5% FBS for 24 h prior to harvest.
Histones were isolated from whole tissue sections by H2SO4 extraction  and equal amounts of sample protein (20 μg) were separated by standard 15% SDS-PAGE and silver stained. Gel fragments containing H2A, H2B, H3, and H4 bands were cut out separately for each electrophoresis line; proteins in the gel were reduced, alkylated, and trypsin-digested using standard protocols, and the resulting peptides were extracted using 0.1% TFA/2% acetonitrile (ACN).
Western blot and densitometric data analyses
For western blotting, 5 μg of each protein sample was resolved by SDS-PAGE and electrotransferred to a PVDF membrane. Blotted proteins were detected using the following antibodies: H3 (ab1791, Abcam), H3K27Ac (ab4729, Abcam), H3K27me3 (07–449, Millipore). Protein band intensities were assessed by densitometry using OptiQuant image analysis software (Packard). Data were normalised to the amount of total histone H3 and expressed as fold change in CRC tissues versus control samples. The statistical significance of histone modifications between two tissue types, as detected by western blotting, was determined with the nonparametric Wilcoxon signed-rank test, and p-values of ≤ 0.05 were considered significant.
Measurements of mRNA abundances were performed on the 26 CRC and 24 healthy mucosa samples and with a q-RT-PCR protocol described previously . The sequences of primers used were as follow: HDAC1, forward 5′- CAATGAAGCCTCACCGAATC-3′, reverse 5′- CTCCTCAGCATTGGCTTTGT-3′; CBP, forward 5′- GTTTCCCCGCAAATGACTG-3′, reverse 5′- CTGCCCTCCAGCTTGACTAA-3′; p300, forward 5′- CATGAATCCAGGGCCTAACA-3′, reverse 5′- CGGATCATACTTGGGTCAGG-3′.
Staining was performed in 4 μm formalin-fixed, paraffin-embedded tissue sections of CRCs and matched normal mucosa from 10 patients (Additional file 1: Table S5) with the use of Envision Detection System (DAKO). Sections were deparaffinized with xylene and rehydrated in a series of decreasing concentration of ethanol solutions. Heat-induced epitope retrieval was carried out in Target Retrieval Solution (pH 6) (DAKO) in a 96°C water bath, for 20 minutes. After cooling retrieval solutions for 25 minutes at room temperature, the slides were treated for 5 minutes with Blocker of Endogenous Peroxidase (DAKO). Slides were incubated with anti-H3K27Ac (ab4729, Abcam) (diluted 1:500) for 30 minutes at room temperature and subsequently labeled with the Envision Detection System (DAKO). Color reaction product was developed with 3,3′-diaminobenzidine, tetrahydrochloride (DAB) (DAKO) as a substrate, and nuclear contrast was achieved with hematoxylin counterstaining. Representative pictures of each sample were taken at magnification x400 and used for the automatic calculation of the percentage of positively stained nuclear area (labeling index). For this purpose ImmunoRatio i.e. softwere for automated image analysis  was used and the results for normal samples and CRC sections were compared.
LC-MS analysis of histone peptides was performed used a LTQ-Orbitrap Velos mass spectrometer (Thermo Scientific) coupled with a nanoAcquity (Waters Corporation) LC system. Spectrometer parameters were as follows: polarity mode, positive; capillary voltage, 1.5 kV. A sample was first applied to the nanoACQUITY UPLC Trapping Column (Waters) using water containing 0.1% formic acid as the mobile phase. Next, the peptide mixture was transferred to the nanoACQUITY UPLC BEH C18 Column (Waters, 75 μm inner diameter; 250 mm long) and an ACN gradient (5–40% over 100 min) was applied in the presence of 0.1% formic acid with a flow rate of 250 nl/min and eluted directly to the ion source of the mass spectrometer. Each LC run was preceded by a blank run to avoid sample carry-over between the analyses.
Qualitative LC-MS/MS analyses were performed on pooled samples in data-dependent acquisition mode. Up to 5 MS/MS processes were allowed for each MS scan, and high-energy collision dissociation (HCD) was used for peptide fragmentation. Quantitative analyses of individual samples were performed by using separate survey scan LC-MS runs with a m/z measurement range of 300–2,000 and the same ACN gradient settings as those used for the LC-MS/MS runs. The data-dependent MS-to-MS/MS switch was disabled, and the spectrometer resolution was set to 15,000.
Qualitative MS data processing and database search
The acquired MS/MS raw data files were preprocessed with Mascot Distiller (version 2.2.1, Matrix Science), and the resulting peak lists were searched against the Homo sapiens entries of the SwissProt database (version 05.10.2012, 20306 sequences) using Mascot (version 2.2.03, Matrix Science). The search parameters were as follows: enzyme specificity: semitrypsin; maximum number of missed cleavages: 2; protein mass: unrestricted; parent ions mass error tolerance: 5 ppm; fragment ions mass error tolerance: 0.02 Da; fixed modifications: Carbamidomethylation (C); and variable modifications: Acetyl (K) (42.010565 Da), Methyl (K) (14.015650 Da), Dimethyl (K) (28.031300 Da), Trimethyl (K) (42.046950 Da), Methyl (R) (14.015650 Da), Dimethyl (R) (28.031300 Da), Deamidated (R) (0.984016 Da), Phospho (ST) (79.966331 Da) and Oxidation (M) (15.994915 Da).
The statistical significance of peptide identifications was determined using a target/decoy database search approach and a previously described procedure that provided q-value estimates for each peptide spectrum match (PSMs) in the data set [38, 39]. Only PSMs with q-values ≤ 0.01 were regarded as confidently identified.
Additional acceptance criteria were used for assessing confidence of modified peptides. In the first step, the exact position of the modifications in the sequence was established by an adopted version of the phosphoRS algorithm . Next, the MS/MS spectra were inspected manually for accurate fragment ions assignment. Finally, selected types of sites were rejected as potential experimental artifacts. Those included: lysine methylations on the C-terminus of the sequence or detected in peptides with acidic residues (possible artifacts of methyl esterification of the carboxylic group) and peptides with deamidation on the C-terminal arginine (tryptic cleavage after a deamidated residue have been recently shown as a highly unlikely event ).
Proteins represented by less than two peptides, or identified by a subset of peptides from another protein, were excluded from further analysis. Proteins matching the same set of peptides were grouped together into clusters. All the steps involved in Mascot results processing were performed using MScan, a proprietary Java application available at http://proteom.ibb.waw.pl/mscan. Multiple alignment of protein sequences and visualization of the detected post-translational modification sites were performed using CLC Sequence Viewer (CLC Bio).
Quantitative MS data processing
Peptides identified in all LC-MS/MS runs were merged into a common list, which was next overlaid onto 2-D maps generated from the LC-MS profile data of individual samples. The feature extraction procedure was described in detail in a previous study . Briefly, the list of identified peptides was used to tag the corresponding peptide-related ion spectra based on m/z differences, deviations from the predicted elution times, and the match between the theoretical and observed isotopic envelopes. The maximum deviation accepted in m/z and the retention time were established separately for each of the processed LC-MS spectra to account for possible variations in mass measurement accuracy and chromatographic separation between runs. First, an initial search with wide tolerance and restrictive parameters of isotopic envelope fits was performed. Next, nonlinear mass and time calibration functions were calculated using LOESS regression, and the search was repeated with narrowed tolerances and relaxed fit requirements. Finally, relative abundances of peptide ions were determined as the heights of 2-D fits to the most prominent peaks of the tagged isotopic envelopes. For normalisation purposes, the calculated abundance of each peptide was divided by the median abundance of all the peptides detected in the sample.
Given the normalised peptide abundances, quantitative values (further referred to as “modification intensities”) were calculated for distinct post-translational modification types observed on each of the previously identified sites. These values were computed using a procedure that involved rescaling of the abundances of single-modified peptides covering the site of interest to a common level, followed by computing their median value.
Statistical analysis of quantitative MS measurements
A non-parametric resampling-based test with paired t statistics was used to evaluate the differences in site-modification intensities between the two groups of samples. Modification sites with p-values ≤ 0.05 were considered as significantly changed.
This work was supported by the Ministry of Science and Higher Education grant N N401 071439. Tymon Rubel was supported by the European Social Fund through the project “Preparation and realisation of Medical Physics speciality” (UDA-POKL 04.01.01-00-0004/09-00) at the Faculty of Physics of the Warsaw University of Technology.
- Gaj P, Maryan N, Hennig EE, Ledwon JK, Paziewska A, Majewska A, Karczmarski J, Nesteruk M, Wolski J, Antoniewicz AA, Przytulski K, Rutkowski A, Teumer A, Homuth G, Starzyńska T, Regula J, Ostrowski J: Pooled sample-based GWAS: a cost-effective alternative for identifying colorectal and prostate cancer risk variants in the polish population. PLoS ONE. 2012, 7: e35307-PubMed CentralView ArticlePubMedGoogle Scholar
- Peters U, Hutter CM, Hsu L, Schumacher FR, Conti DV, Carlson CS, Edlund CK, Haile RW, Gallinger S, Zanke BW, Lemire M, Rangrej J, Vijayaraghavan R, Chan AT, Hazra A, Hunter DJ, Ma J, Fuchs CS, Giovannucci EL, Kraft P, Liu Y, Chen L, Jiao S, Makar KW, Taverna D, Gruber SB, Rennert G, Moreno V, Ulrich CM, Woods MO, et al: Meta-analysis of new genome-wide association studies of colorectal cancer risk. Hum Genet. 2012, 131: 217-234.PubMed CentralView ArticlePubMedGoogle Scholar
- Weichenhan D, Plass C: The evolving epigenome. Hum Mol Genet. 2013, 22: R1-6.View ArticlePubMedGoogle Scholar
- Skrzypczak M, Goryca K, Rubel T, Paziewska A, Mikula M, Jarosz D, Pachlewski J, Oledzki J, Ostrowski J, Ostrowski J: Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability. PLoS ONE. 2010, 5: e13091-PubMed CentralView ArticlePubMedGoogle Scholar
- Bernstein BE, Birney E, Dunham I, Green ED, Gunter C, Snyder M, : An integrated encyclopedia of DNA elements in the human genome. Nature. 2012, 489: 57-74.View ArticleGoogle Scholar
- Arnaudo AM, Garcia BA: Proteomic characterization of novel histone post-translational modifications. Epigenetics Chromatin. 2013, 6: 24-PubMed CentralView ArticlePubMedGoogle Scholar
- Tan M, Luo H, Lee S, Jin F, Yang JS, Montellier E, Buchou T, Cheng Z, Rousseaux S, Rajagopal N, Lu Z, Ye Z, Zhu Q, Wysocka J, Ye Y, Khochbin S, Ren B, Zhao Y: Identification of 67 histone marks and histone lysine crotonylation as a new type of histone modification. Cell. 2011, 146: 1016-1028.PubMed CentralView ArticlePubMedGoogle Scholar
- Tropberger P, Schneider R: Going global: novel histone modifications in the globular domain of H3. Epigenetics. 2010, 5: 112-117.View ArticlePubMedGoogle Scholar
- Migheli F, Migliore L: Epigenetics of colorectal cancer. Clin Genet. 2012, 81: 312-318.View ArticlePubMedGoogle Scholar
- Ostrowski J, Wyrwicz LS: Integrating genomics, proteomics and bioinformatics in translational studies of molecular medicine. Expert Rev Mol Diagn. 2009, 9: 623-630.View ArticlePubMedGoogle Scholar
- Hornbeck PV, Kornhauser JM, Tkachev S, Zhang B, Skrzypek E, Murray B, Latham V, Sullivan M: PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse. Nucleic Acids Res. 2012, 40 (Database issue): D261-270.PubMed CentralView ArticlePubMedGoogle Scholar
- Khare SP, Habib F, Sharma R, Gadewal N, Gupta S, Galande S: HIstome–a relational knowledgebase of human histone proteins and histone modifying enzymes. Nucleic Acids Res. 2012, 40 (Database issue): D337-342.PubMed CentralView ArticlePubMedGoogle Scholar
- Wolf L, Harrison W, Huang J, Xie Q, Xiao N, Sun J, Kong L, Lachke SA, Kuracha MR, Govindarajan V, Brindle PK, Ashery-Padan R, Beebe DC, Overbeek PA, Cvekl A: Histone posttranslational modifications and cell fate determination: lens induction requires the lysine acetyltransferases CBP and p300. Nucleic Acids Res. 2013, 41: 10199-214.PubMed CentralView ArticlePubMedGoogle Scholar
- Jin Q, Yu L-R, Wang L, Zhang Z, Kasper LH, Lee J-E, Wang C, Brindle PK, Dent SYR, Ge K: Distinct roles of GCN5/PCAF-mediated H3K9ac and CBP/p300-mediated H3K18/27 ac in nuclear receptor transactivation. EMBO J. 2011, 30: 249-262.PubMed CentralView ArticlePubMedGoogle Scholar
- Tie F, Banerjee R, Stratton CA, Prasad-Sinha J, Stepanik V, Zlobin A, Diaz MO, Scacheri PC, Harte PJ: CBP-mediated acetylation of histone H3 lysine 27 antagonizes drosophila polycomb silencing. Development. 2009, 136: 3131-3141.PubMed CentralView ArticlePubMedGoogle Scholar
- Mikula M, Rubel T, Karczmarski J, Goryca K, Dadlez M, Ostrowski J: Integrating proteomic and transcriptomic high-throughput surveys for search of new biomarkers of colon tumors. Funct Integr Genomics. 2011, 11: 215-224.View ArticleGoogle Scholar
- Leroy G, Dimaggio PA, Chan EY, Zee BM, Blanco MA, Bryant B, Flaniken IZ, Liu S, Kang Y, Trojer P, Garcia BA: A quantitative atlas of histone modification signatures from human cancer cells. Epigenetics Chromatin. 2013, 6: 20-PubMed CentralView ArticlePubMedGoogle Scholar
- Izzo A, Schneider R: Chatting histone modifications in mammals. Brief Funct Genomics. 2010, 9: 429-443.PubMed CentralView ArticlePubMedGoogle Scholar
- Gargalionis AN, Piperi C, Adamopoulos C, Papavassiliou AG: Histone modifications as a pathogenic mechanism of colorectal tumorigenesis. Int J Biochem Cell Biol. 2012, 44: 1276-1289.View ArticlePubMedGoogle Scholar
- Kouzarides T: Chromatin modifications and their function. Cell. 2007, 128: 693-705.View ArticlePubMedGoogle Scholar
- Wellen KE, Hatzivassiliou G, Sachdeva UM, Bui TV, Cross JR, Thompson CB: ATP-citrate lyase links cellular metabolism to histone acetylation. Science. 2009, 324: 1076-1080.PubMed CentralView ArticlePubMedGoogle Scholar
- Chen C, Zhao M, Yin N, He B, Wang B, Yuan Y, Yu F, Hu J, Yin B, Lu Q: Abnormal histone acetylation and methylation levels in esophageal squamous cell carcinomas. Cancer Invest. 2011, 29: 548-556.View ArticlePubMedGoogle Scholar
- Fraga MF, Ballestar E, Villar-Garea A, Boix-Chornet M, Espada J, Schotta G, Bonaldi T, Haydon C, Ropero S, Petrie K, Iyer NG, Pérez-Rosado A, Calvo E, Lopez JA, Cano A, Calasanz MJ, Colomer D, Piris MA, Ahn N, Imhof A, Caldas C, Jenuwein T, Esteller M: Loss of acetylation at Lys16 and trimethylation at Lys20 of histone H4 is a common hallmark of human cancer. Nat Genet. 2005, 37: 391-400.View ArticlePubMedGoogle Scholar
- Ashktorab H, Belgrave K, Hosseinkhah F, Brim H, Nouraie M, Takkikto M, Hewitt S, Lee EL, Dashwood RH, Smoot D: Global histone H4 acetylation and HDAC2 expression in colon adenoma and carcinoma. Dig Dis Sci. 2009, 54: 2109-2117.PubMed CentralView ArticlePubMedGoogle Scholar
- Tamagawa H, Oshima T, Shiozawa M, Morinaga S, Nakamura Y, Yoshihara M, Sakuma Y, Kameda Y, Akaike M, Masuda M, Imada T, Miyagi Y: The global histone modification pattern correlates with overall survival in metachronous liver metastasis of colorectal cancer. Oncol Rep. 2012, 27: 637-642.PubMedGoogle Scholar
- Roche J, Nasarre P, Gemmill R, Baldys A, Pontis J, Korch C, Guilhot J, Ait-Si-Ali S, Drabkin H: Global decrease of histone H3K27 acetylation in ZEB1-induced epithelial to mesenchymal transition in lung cancer cells. Cancers. 2013, 5: 334-356.PubMed CentralView ArticlePubMedGoogle Scholar
- Suka N, Suka Y, Carmen AA, Wu J, Grunstein M: Highly specific antibodies determine histone acetylation site usage in yeast heterochromatin and euchromatin. Mol Cell. 2001, 8: 473-479.View ArticlePubMedGoogle Scholar
- Tie F, Banerjee R, Conrad PA, Scacheri PC, Harte PJ: Histone demethylase UTX and chromatin remodeler BRM bind directly to CBP and modulate acetylation of histone H3 lysine 27. Mol Cell Biol. 2012, 32: 2323-2334.PubMed CentralView ArticlePubMedGoogle Scholar
- Wang Z, Zang C, Rosenfeld JA, Schones DE, Barski A, Cuddapah S, Cui K, Roh T-Y, Peng W, Zhang MQ, Zhao K: Combinatorial patterns of histone acetylations and methylations in the human genome. Nat Genet. 2008, 40: 897-903.PubMed CentralView ArticlePubMedGoogle Scholar
- Creyghton MP, Cheng AW, Welstead GG, Kooistra T, Carey BW, Steine EJ, Hanna J, Lodato MA, Frampton GM, Sharp PA, Boyer LA, Young RA, Jaenisch R: Histone H3K27ac separates active from poised enhancers and predicts developmental state. Proc Natl Acad Sci U S A. 2010, 107: 21931-21936.PubMed CentralView ArticlePubMedGoogle Scholar
- Rada-Iglesias A, Bajpai R, Swigut T, Brugmann SA, Flynn RA, Wysocka J: A unique chromatin signature uncovers early developmental enhancers in humans. Nature. 2011, 470: 279-283.PubMed CentralView ArticlePubMedGoogle Scholar
- Ishihama K, Yamakawa M, Semba S, Takeda H, Kawata S, Kimura S, Kimura W: Expression of HDAC1 and CBP/p300 in human colorectal carcinomas. J Clin Pathol. 2007, 60: 1205-1210.PubMed CentralView ArticlePubMedGoogle Scholar
- Bustin SA, Beaulieu J-F, Huggett J, Jaggi R, Kibenge FS, Olsvik PA, Penning LC, Toegel S: MIQE précis: practical implementation of minimum standard guidelines for fluorescence-based quantitative real-time PCR experiments. BMC Mol Biol. 2010, 11: 74-PubMed CentralView ArticlePubMedGoogle Scholar
- Stypula-Cyrus Y, Damania D, Kunte DP, Cruz MD, Subramanian H, Roy HK, Backman V: HDAC up-regulation in early colon field carcinogenesis is involved in cell tumorigenicity through regulation of chromatin structure. PLoS ONE. 2013, 8: e64600-PubMed CentralView ArticlePubMedGoogle Scholar
- Huh JW, Kim HC, Kim SH, Park YA, Cho YB, Yun SH, Lee WY, Chun H-K: Prognostic impact of p300 expression in patients with colorectal cancer. J Surg Oncol. 2013, 108: 374-377.View ArticlePubMedGoogle Scholar
- Shechter D, Dormann HL, Allis CD, Hake SB: Extraction, purification and analysis of histones. Nat Protoc. 2007, 2: 1445-1457.View ArticlePubMedGoogle Scholar
- Rizzardi AE, Johnson AT, Vogel RI, Pambuccian SE, Henriksen J, Skubitz AP, Metzger GJ, Schmechel SC: Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring. Diagn Pathol. 2012, 7: 42-PubMed CentralView ArticlePubMedGoogle Scholar
- Mikula M, Gaj P, Dzwonek K, Rubel T, Karczmarski J, Paziewska A, Dzwonek A, Bragoszewski P, Dadlez M, Ostrowski J: Comprehensive analysis of the palindromic motif TCTCGCGAGA: a regulatory element of the HNRNPK promoter. DNA Res. 2010, 17: 245-260.PubMed CentralView ArticlePubMedGoogle Scholar
- Käll L, Storey JD, MacCoss MJ, Noble WS: Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. J Proteome Res. 2008, 7: 29-34.View ArticlePubMedGoogle Scholar
- Taus T, Köcher T, Pichler P, Paschke C, Schmidt A, Henrich C, Mechtler K: Universal and confident phosphorylation site localization using phosphoRS. J Proteome Res. 2011, 10: 5354-5362.View ArticlePubMedGoogle Scholar
- Kasper B, Lauridsen TB: Optimizing the identification of citrullinated peptides by mass spectrometry: utilizing the inability of trypsin to cleave after citrullinated amino acids. Journal of Proteomics & Bioinformatics. 2013, 06: 288-295.Google Scholar
- Bakun M, Karczmarski J, Poznanski J, Rubel T, Rozga M, Malinowska A, Sands D, Hennig E, Oledzki J, Ostrowski J, Dadlez M: An integrated LC-ESI-MS platform for quantitation of serum peptide ladders: application for colon carcinoma study. Proteomics Clin Appl. 2009, 3: 932-946.View ArticlePubMedGoogle Scholar
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