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Histone deacetylase 3 controls a transcriptional network required for B cell maturation.
Stengel KR, Bhaskara S, Wang J, Liu Q, Ellis JD, Sampathi S, Hiebert SW
(2019) Nucleic Acids Res 47: 10612-10627
MeSH Terms: Animals, Antigens, CD19, B-Lymphocytes, Base Sequence, Cell Differentiation, Gene Expression Regulation, Gene Regulatory Networks, Histone Deacetylase Inhibitors, Histone Deacetylases, Lipopolysaccharides, Lymphocyte Activation, Mice, Inbred C57BL, Plasma Cells, Positive Regulatory Domain I-Binding Factor 1, Proto-Oncogene Proteins c-bcl-6, Repressor Proteins, Transcription, Genetic, Up-Regulation
Show Abstract · Added October 25, 2019
Histone deacetylase 3 (Hdac3) is a target of the FDA approved HDAC inhibitors, which are used for the treatment of lymphoid malignancies. Here, we used Cd19-Cre to conditionally delete Hdac3 to define its role in germinal center B cells, which represent the cell of origin for many B cell malignancies. Cd19-Cre-Hdac3-/- mice showed impaired germinal center formation along with a defect in plasmablast production. Analysis of Hdac3-/- germinal centers revealed a reduction in dark zone centroblasts and accumulation of light zone centrocytes. RNA-seq revealed a significant correlation between genes up-regulated upon Hdac3 loss and those up-regulated in Foxo1-deleted germinal center B cells, even though Foxo1 typically activates transcription. Therefore, to determine whether gene expression changes observed in Hdac3-/- germinal centers were a result of direct effects of Hdac3 deacetylase activity, we used an HDAC3 selective inhibitor and examined nascent transcription in germinal center-derived cell lines. Transcriptional changes upon HDAC3 inhibition were enriched for light zone gene signatures as observed in germinal centers. Further comparison of PRO-seq data with ChIP-seq/exo data for BCL6, SMRT, FOXO1 and H3K27ac identified direct targets of HDAC3 function including CD86, CD83 and CXCR5 that are likely responsible for driving the light zone phenotype observed in vivo.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.
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18 MeSH Terms
Kaiso is required for MTG16-dependent effects on colitis-associated carcinoma.
Short SP, Barrett CW, Stengel KR, Revetta FL, Choksi YA, Coburn LA, Lintel MK, McDonough EM, Washington MK, Wilson KT, Prokhortchouk E, Chen X, Hiebert SW, Reynolds AB, Williams CS
(2019) Oncogene 38: 5091-5106
MeSH Terms: Adenocarcinoma, Animals, Carcinogenesis, Colitis, Colonic Neoplasms, Female, HCT116 Cells, HEK293 Cells, Humans, Inflammation, Intestinal Mucosa, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Repressor Proteins, Transcription Factors
Show Abstract · Added March 16, 2019
The myeloid translocation gene family member MTG16 is a transcriptional corepressor that relies on the DNA-binding ability of other proteins to determine specificity. One such protein is the ZBTB family member Kaiso, and the MTG16:Kaiso interaction is necessary for repression of Kaiso target genes, such as matrix metalloproteinase-7. Using the azoxymethane and dextran sodium sulfate (AOM/DSS) murine model of colitis-associated carcinoma, we previously determined that MTG16 loss accelerates tumorigenesis and inflammation. However, it was unknown whether this effect was modified by Kaiso-dependent transcriptional repression. To test for a genetic interaction between MTG16 and Kaiso in inflammatory carcinogenesis, we subjected single and double knockout (DKO) mice to the AOM/DSS protocol. Mtg16 mice demonstrated increased colitis and tumor burden; in contrast, disease severity in Kaiso mice was equivalent to wild-type controls. Surprisingly, Kaiso deficiency in the context of MTG16 loss reversed injury and pro-tumorigenic responses in the intestinal epithelium following AOM/DSS treatment, and tumor numbers were returned to near to wild-type levels. Transcriptomic analysis of non-tumor colon tissue demonstrated that changes induced by MTG16 loss were widely mitigated by concurrent Kaiso loss, and DKO mice demonstrated downregulation of metabolism and cytokine-associated gene sets with concurrent activation of DNA damage checkpoint pathways as compared with Mtg16. Further, Kaiso knockdown in intestinal enteroids reduced stem- and WNT-associated phenotypes, thus abrogating the induction of these pathways observed in Mtg16 samples. Together, these data suggest that Kaiso modifies MTG16-driven inflammation and tumorigenesis and suggests that Kaiso deregulation contributes to MTG16-dependent colitis and CAC phenotypes.
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17 MeSH Terms
OxyR Regulates the Transcriptional Response to Hydrogen Peroxide.
Juttukonda LJ, Green ER, Lonergan ZR, Heffern MC, Chang CJ, Skaar EP
(2019) Infect Immun 87:
MeSH Terms: Acinetobacter Infections, Acinetobacter baumannii, Animals, Anti-Infective Agents, Local, Gene Expression Regulation, Bacterial, Hydrogen Peroxide, Mice, Oxidants, Repressor Proteins, Stress, Physiological
Show Abstract · Added April 7, 2019
is a Gram-negative opportunistic pathogen that causes diverse infections, including pneumonia, bacteremia, and wound infections. Due to multiple intrinsic and acquired antimicrobial-resistance mechanisms, isolates are commonly multidrug resistant, and infections are notoriously difficult to treat. The World Health Organization recently highlighted carbapenem-resistant as a "critical priority" for the development of new antimicrobials because of the risk to human health posed by this organism. Therefore, it is important to discover the mechanisms used by to survive stresses encountered during infection in order to identify new drug targets. In this study, by use of imaging, we identified hydrogen peroxide (HO) as a stressor produced in the lung during infection and defined OxyR as a transcriptional regulator of the HO stress response. Upon exposure to HO, differentially transcribes several hundred genes. However, the transcriptional upregulation of genes predicted to detoxify hydrogen peroxide is abolished in an strain in which the transcriptional regulator is genetically inactivated. Moreover, inactivation of in both antimicrobial-susceptible and multidrug-resistant strains impairs growth in the presence of HO OxyR is a direct regulator of and , which encode the major HO-degrading enzymes in , as confirmed through measurement of promoter binding by recombinant OxyR in electromobility shift assays. Finally, an mutant is less fit than wild-type during infection of the murine lung. This work reveals a mechanism used by this important human pathogen to survive HO stress encountered during infection.
Copyright © 2018 American Society for Microbiology.
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10 MeSH Terms
Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas.
Schaub FX, Dhankani V, Berger AC, Trivedi M, Richardson AB, Shaw R, Zhao W, Zhang X, Ventura A, Liu Y, Ayer DE, Hurlin PJ, Cherniack AD, Eisenman RN, Bernard B, Grandori C, Cancer Genome Atlas Network
(2018) Cell Syst 6: 282-300.e2
MeSH Terms: Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Basic Helix-Loop-Helix Transcription Factors, Biomarkers, Tumor, Carcinogenesis, Chromatin, Computational Biology, Genes, myc, Genomics, Humans, Neoplasms, Oncogenes, Proteomics, Proto-Oncogene Proteins c-myc, Repressor Proteins, Signal Transduction, Transcription Factors
Show Abstract · Added October 30, 2019
Although the MYC oncogene has been implicated in cancer, a systematic assessment of alterations of MYC, related transcription factors, and co-regulatory proteins, forming the proximal MYC network (PMN), across human cancers is lacking. Using computational approaches, we define genomic and proteomic features associated with MYC and the PMN across the 33 cancers of The Cancer Genome Atlas. Pan-cancer, 28% of all samples had at least one of the MYC paralogs amplified. In contrast, the MYC antagonists MGA and MNT were the most frequently mutated or deleted members, proposing a role as tumor suppressors. MYC alterations were mutually exclusive with PIK3CA, PTEN, APC, or BRAF alterations, suggesting that MYC is a distinct oncogenic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such as immune response and growth factor signaling; chromatin, translation, and DNA replication/repair were conserved pan-cancer. This analysis reveals insights into MYC biology and is a reference for biomarkers and therapeutics for cancers with alterations of MYC or the PMN.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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MeSH Terms
Fur regulation of Staphylococcus aureus heme oxygenases is required for heme homeostasis.
Lojek LJ, Farrand AJ, Weiss A, Skaar EP
(2018) Int J Med Microbiol 308: 582-589
MeSH Terms: Aerobiosis, Bacterial Proteins, Gene Expression Regulation, Bacterial, Heme, Heme Oxygenase (Decyclizing), Homeostasis, Iron, Mixed Function Oxygenases, Oxygenases, Repressor Proteins, Staphylococcus aureus
Show Abstract · Added March 15, 2018
Heme is a cofactor that is essential for cellular respiration and for the function of many enzymes. If heme levels become too low within the cell, S. aureus switches from producing energy via respiration to producing energy by fermentation. S. aureus encodes two heme oxygenases, IsdI and IsdG, which cleave the porphyrin heme ring releasing iron for use as a nutrient source. Both isdI and isdG are only expressed under low iron conditions and are regulated by the canonical Ferric Uptake Regulator (Fur). Here we demonstrate that unregulated expression of isdI and isdG within S. aureus leads to reduced growth under low iron conditions. Additionally, the constitutive expression of these enzymes leads to decreased heme abundance in S. aureus, an increase in the fermentation product lactate, and increased resistance to gentamicin. This work demonstrates that S. aureus has developed tuning mechanisms, such as Fur regulation, to ensure that the cell has sufficient quantities of heme for efficient ATP production through aerobic respiration.
Copyright © 2018 Elsevier GmbH. All rights reserved.
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11 MeSH Terms
Human papillomavirus 16 E6 antibodies are sensitive for human papillomavirus-driven oropharyngeal cancer and are associated with recurrence.
Lang Kuhs KA, Kreimer AR, Trivedi S, Holzinger D, Pawlita M, Pfeiffer RM, Gibson SP, Schmitt NC, Hildesheim A, Waterboer T, Ferris RL
(2017) Cancer 123: 4382-4390
MeSH Terms: Antibodies, Viral, Cell Transformation, Viral, Female, Human papillomavirus 16, Humans, Immunohistochemistry, Male, Middle Aged, Oncogene Proteins, Viral, Oropharyngeal Neoplasms, Papillomavirus Infections, Predictive Value of Tests, Prognosis, Recurrence, Repressor Proteins, Sensitivity and Specificity
Show Abstract · Added October 23, 2017
BACKGROUND - Human papillomavirus 16 (HPV16) E6 antibodies may be an early marker of the diagnosis and recurrence of human papillomavirus-driven oropharyngeal cancer (HPV-OPC).
METHODS - This study identified 161 incident oropharyngeal cancer (OPC) cases diagnosed at the University of Pittsburgh (2003-2013) with pretreatment serum. One hundred twelve had preexisting clinical HPV testing with p16 immunohistochemistry and HPV in situ hybridization (87 were dual-positive [HPV-OPC], and 25 were dual-negative [HPV-negative]); 62 had at least 1 posttreatment serum sample. Eighty-six of the 161 tumors were available for additional HPV16 DNA/RNA testing (45 were dual-positive [HPV16-OPC], and 19 were dual-negative [HPV16-negative). HPV16 E6 antibody testing was conducted with multiplex serology. The following were evaluated: 1) the sensitivity and specificity of HPV16 E6 serology for distinguishing HPV-OPC and HPV16-OPC from HPV-negative OPC, 2) HPV16 E6 antibody decay after treatment with linear models accommodating correlations in variance estimates, and 3) pre- and posttreatment HPV16 E6 levels and the risk of recurrence with Cox proportional hazards models.
RESULTS - Seventy-eight of 87 HPV-OPCs were HPV16 E6-seropositive (sensitivity, 89.7%; 95% confidence interval [CI], 81.3%-95.2%), and 24 of 25 HPV-negative OPCs were HPV16 E6-seronegative (specificity, 96.0%; 95% CI, 79.6%-99.9%). Forty-two of 45 HPV16-OPCs were HPV16 E6-seropositive (sensitivity, 93.3%; 95% CI, 81.7%-98.6%), and 18 of 19 HPV16-negative OPCs were HPV16 E6-seronegative (specificity, 94.7%; 95% CI, 74.0%-99.9%). Posttreatment HPV16 E6 antibody levels did not decrease significantly from the baseline (P = .575; median follow-up, 307 days) and were not associated with the risk of recurrence. However, pretreatment HPV16 E6 seropositivity was associated with an 86% reduced risk of local/regional recurrence (hazard ratio, 0.14; 95% CI, 0.03-0.68; P = .015).
CONCLUSIONS - HPV16 E6 antibodies may have potential clinical utility for the diagnosis and/or prognosis of HPV-OPC. Cancer 2017;123:4382-90. © 2017 American Cancer Society.
© 2017 American Cancer Society.
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16 MeSH Terms
Regulating Secretory Proteostasis through the Unfolded Protein Response: From Function to Therapy.
Plate L, Wiseman RL
(2017) Trends Cell Biol 27: 722-737
MeSH Terms: Activating Transcription Factor 6, Animals, Biological Transport, Endoplasmic Reticulum Stress, Humans, Proteome, Proteostasis, Repressor Proteins, Secretory Pathway, Signal Transduction, Unfolded Protein Response
Show Abstract · Added March 3, 2020
Imbalances in secretory proteostasis induced by genetic, environmental, or aging-related insults are pathologically associated with etiologically diverse protein misfolding diseases. To protect the secretory proteome from these insults, organisms evolved stress-responsive signaling pathways that regulate the composition and activity of biologic pathways involved in secretory proteostasis maintenance. The most prominent of these is the endoplasmic reticulum (ER) unfolded protein response (UPR), which functions to regulate ER proteostasis in response to ER stress. While the signaling mechanisms involved in UPR activation are well defined, the impact of UPR activation on secretory proteostasis is only now becoming clear. Here, we highlight recent reports defining how activation of select UPR signaling pathways influences proteostasis within the ER and downstream secretory environments. Furthermore, we describe recent evidence that highlights the therapeutic potential for targeting UPR signaling pathways to correct pathologic disruption in secretory proteostasis associated with diverse types of protein misfolding diseases.
Copyright © 2017 Elsevier Ltd. All rights reserved.
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Kinetics of the Human Papillomavirus Type 16 E6 Antibody Response Prior to Oropharyngeal Cancer.
Kreimer AR, Johansson M, Yanik EL, Katki HA, Check DP, Lang Kuhs KA, Willhauck-Fleckenstein M, Holzinger D, Hildesheim A, Pfeiffer R, Williams C, Freedman ND, Huang WY, Purdue MP, Michel A, Pawlita M, Brennan P, Waterboer T
(2017) J Natl Cancer Inst 109:
MeSH Terms: Aged, Antibodies, Viral, Carcinoma, Squamous Cell, Case-Control Studies, Cohort Studies, Female, Human papillomavirus 16, Humans, Incidence, Kinetics, Male, Middle Aged, Oncogene Proteins, Viral, Oropharyngeal Neoplasms, Papillomavirus Infections, Repressor Proteins, Risk Factors, Sensitivity and Specificity, United States
Show Abstract · Added August 15, 2017
Background - In a European cohort, it was previously reported that 35% of oropharyngeal cancer (OPC) patients were human papillomavirus type-16 (HPV16) seropositive up to 10 years before diagnosis vs 0.6% of cancer-free controls. Here, we describe the kinetics of HPV16-E6 antibodies prior to OPC diagnosis.
Methods - We used annual serial prediagnostic blood samples from the PLCO Cancer Screening Trial. Antibodies to HPV were initially assessed in prediagnostic blood drawn at study enrollment from 198 incident head and neck cancer patients (median years to cancer diagnosis = 6.6) and 924 matched control subjects using multiplex serology, and subsequently in serial samples (median = 5/individual). Available tumor samples were identified and tested for HPV16 RNA to define HPV-driven OPC.
Results - HPV16-E6 antibodies were present at baseline in 42.3% of 52 OPC patients and 0.5% of 924 control subjects. HPV16-E6 antibody levels were highly elevated and stable across serial blood samples for 21 OPC patients who were seropositive at baseline, as well as for one OPC patient who seroconverted closer to diagnosis. All five subjects with HPV16-driven OPC tumors were HPV16-E6-seropositive, and the four subjects with HPV16-negative OPC tumors were seronegative. The estimated 10-year cumulative risk of OPC was 6.2% (95% confidence interval [CI] = 1.8% to 21.5%) for HPV16-E6-seropositive men, 1.3% (95% CI = 0.1% to 15.3%) for HPV16-E6-seropositive women, and 0.04% (95% CI = 0.03% to 0.06%) among HPV16-E6-seronegative individuals.
Conclusions - Forty-two percent of subjects diagnosed with OPC between 1994 and 2009 in a US cohort were HPV16-E6 seropositive, with stable antibody levels during annual follow-up for up to 13 years prior to diagnosis. Tumor analysis indicated that the sensitivity and specificity of HPV16-E6 antibodies were exceptionally high in predicting HPV-driven OPC.
Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US.
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19 MeSH Terms
Myeloid translocation genes differentially regulate colorectal cancer programs.
Parang B, Bradley AM, Mittal MK, Short SP, Thompson JJ, Barrett CW, Naik RD, Bilotta AJ, Washington MK, Revetta FL, Smith JJ, Chen X, Wilson KT, Hiebert SW, Williams CS
(2016) Oncogene 35: 6341-6349
MeSH Terms: Animals, Colorectal Neoplasms, Female, Humans, Male, Mice, Mice, Inbred C57BL, Nuclear Proteins, Repressor Proteins, Signal Transduction, Transcription Factors, Translocation, Genetic, Tumor Suppressor Proteins
Show Abstract · Added June 23, 2016
Myeloid translocation genes (MTGs), originally identified as chromosomal translocations in acute myelogenous leukemia, are transcriptional corepressors that regulate hematopoietic stem cell programs. Analysis of The Cancer Genome Atlas (TCGA) database revealed that MTGs were mutated in epithelial malignancy and suggested that loss of function might promote tumorigenesis. Genetic deletion of MTGR1 and MTG16 in the mouse has revealed unexpected and unique roles within the intestinal epithelium. Mtgr1 mice have progressive depletion of all intestinal secretory cells, and Mtg16 mice have a decrease in goblet cells. Furthermore, both Mtgr1 and Mtg16 mice have increased intestinal epithelial cell proliferation. We thus hypothesized that loss of MTGR1 or MTG16 would modify Apc-dependent intestinal tumorigenesis. Mtgr1 mice, but not Mtg16 mice, had a 10-fold increase in tumor multiplicity. This was associated with more advanced dysplasia, including progression to invasive adenocarcinoma, and augmented intratumoral proliferation. Analysis of chromatin immunoprecipitation sequencing data sets for MTGR1 and MTG16 targets indicated that MTGR1 can regulate Wnt and Notch signaling. In support of this, immunohistochemistry and gene expression analysis revealed that both Wnt and Notch signaling pathways were hyperactive in Mtgr1 tumors. Furthermore, in human colorectal cancer (CRC) samples MTGR1 was downregulated at both the transcript and protein level. Overall our data indicates that MTGR1 has a context-dependent effect on intestinal tumorigenesis.
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13 MeSH Terms
Characterization of human papillomavirus antibodies in individuals with head and neck cancer.
Lang Kuhs KA, Pawlita M, Gibson SP, Schmitt NC, Trivedi S, Argiris A, Kreimer AR, Ferris RL, Waterboer T
(2016) Cancer Epidemiol 42: 46-52
MeSH Terms: Head and Neck Neoplasms, Human papillomavirus 16, Humans, Oncogene Proteins, Viral, Papillomavirus Infections, Repressor Proteins, Seroepidemiologic Studies
Show Abstract · Added August 15, 2017
BACKGROUND - Human papillomavirus type 16 (HPV16) E6 antibodies are a promising biomarker of oropharyngeal cancer (OPC); however, seropositivity among non-OPC cases is not well characterized.
METHODS - Pre-treatment sera from 260 (38 OPC, 222 non-OPC) incident head and neck cancers diagnosed at the University of Pittsburgh between 2003 and 2006 were tested for HPV16 (L1,E1,E2,E4,E6,E7) and non-HPV16 E6 (HPV6,11,18,33) antibodies. Sensitivity and specificity of HPV16 E6 antibodies for HPV-driven tumors was evaluated among tumors with known HPV status (n=25).
RESULTS - 63.2% of OPC versus 27.5% of non-OPC cases were HPV16 seropositive; HPV16 E6 seroprevalence was 60.5% and 6.3% respectively, odds ratio 22.8 (95% confidence interval [CI] 9.8-53.1). Sensitivity and specificity of HPV16 E6 antibodies for HPV-driven OPC was 100% [95% CI: 50-100%; n=6] and 100% [95% CI: 60-100%, n=4] compared to 0% (n=2) and 0% (n=13) for non-OPC cases.
CONCLUSIONS - HPV16 antibodies were significantly more common in OPC versus non-OPC cases, particularly HPV16 E6 antibodies.
Copyright © 2016 Elsevier Ltd. All rights reserved.
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7 MeSH Terms