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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2011
    In:  JALA: Journal of the Association for Laboratory Automation Vol. 16, No. 2 ( 2011-04), p. 126-133
    In: JALA: Journal of the Association for Laboratory Automation, SAGE Publications, Vol. 16, No. 2 ( 2011-04), p. 126-133
    Abstract: Antibody microarrays are gaining popularity as a high-throughput technology to investigate the proteome. However, protein extracts from most body fluid or biopsy samples are available in very small volumes and are often unsuitable for large-scale antibody microarray studies. To demonstrate the potential for protein analysis with as little as a few nanoliters of sample, we have developed a new technology called NanoProbeArrays based on piezoelectric liquid dispensing for non-contact printing and probing of antibody arrays. Instead of flooding the protein sample on the antibody microarray surface, as in conventional microarray screening, a piezoelectric inkjet printer is used to dispense nanoliters of fluorescently labeled proteins over the antibody spots on the array. The ability of NanoProbeArrays to precisely identify and reliably distinguish between test proteins from different sources, without any loss of sensitivity and specificity as compared with conventional antibody microarrays, is illustrated here. The utility of NanoProbeArrays for biomarker identification in a complex biological sample was tested by detecting the cytokine interleukin-4 in serum. The significant reduction in volume of sample during NanoProbeArray analysis, as compared with conventional antibody microarrays, offers new opportunities for basic and applied proteomic research.
    Type of Medium: Online Resource
    ISSN: 1535-5535
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2011
    In:  Biochemical and Biophysical Research Communications Vol. 405, No. 1 ( 2011-02), p. 1-6
    In: Biochemical and Biophysical Research Communications, Elsevier BV, Vol. 405, No. 1 ( 2011-02), p. 1-6
    Type of Medium: Online Resource
    ISSN: 0006-291X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2011
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  • 3
    Online Resource
    Online Resource
    Elsevier BV ; 2008
    In:  Biochemical and Biophysical Research Communications Vol. 375, No. 4 ( 2008-10), p. 526-530
    In: Biochemical and Biophysical Research Communications, Elsevier BV, Vol. 375, No. 4 ( 2008-10), p. 526-530
    Type of Medium: Online Resource
    ISSN: 0006-291X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2008
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    SSG: 12
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  • 4
    In: npj Breast Cancer, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2023-09-29)
    Abstract: Mutations in the TP53 tumor suppressor gene occur in 〉 80% of the triple-negative or basal-like breast cancer. To test whether neomorphic functions of specific TP53 missense mutations contribute to phenotypic heterogeneity, we characterized phenotypes of non-transformed MCF10A-derived cell lines expressing the ten most common missense mutant p53 proteins and observed a wide spectrum of phenotypic changes in cell survival, resistance to apoptosis and anoikis, cell migration, invasion and 3D mammosphere architecture. The p53 mutants R248W, R273C, R248Q, and Y220C are the most aggressive while G245S and Y234C are the least, which correlates with survival rates of basal-like breast cancer patients. Interestingly, a crucial amino acid difference at one position—R273C vs. R273H—has drastic changes on cellular phenotype. RNA-Seq and ChIP-Seq analyses show distinct DNA binding properties of different p53 mutants, yielding heterogeneous transcriptomics profiles, and MD simulation provided structural basis of differential DNA binding of different p53 mutants. Integrative statistical and machine-learning-based pathway analysis on gene expression profiles with phenotype vectors across the mutant cell lines identifies quantitative association of multiple pathways including the Hippo/YAP/TAZ pathway with phenotypic aggressiveness. Further, comparative analyses of large transcriptomics datasets on breast cancer cell lines and tumors suggest that dysregulation of the Hippo/YAP/TAZ pathway plays a key role in driving the cellular phenotypes towards basal-like in the presence of more aggressive p53 mutants. Overall, our study describes distinct gain-of-function impacts on protein functions, transcriptional profiles, and cellular behaviors of different p53 missense mutants, which contribute to clinical phenotypic heterogeneity of triple-negative breast tumors.
    Type of Medium: Online Resource
    ISSN: 2374-4677
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 5
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 4, No. 1 ( 2014-10-14)
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2014
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P1-02-05-P1-02-05
    Abstract: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that lacks three major drug-targetable receptors, ER, PR, and HER2. TNBC patients have much worse 5-year survival rates (60%) in contrast to 90% for other breast cancer subtypes and display highly heterogeneous molecular profiles, cellular phenotypes, and drug responses, which poses major challenges in patient treatments. The tumor suppressor gene TP53 is mutated in 30% of breast tumors overall and but highly prevalent (~80%) in TNBC. Unlike mutations in other tumor suppressor genes that are predominantly loss-of-function deletions or truncations, TP53 mutations occur mostly as & gt;100 different missense mutations within the DNA binding domain, implying that the mutant proteins may exert both loss-of-function activities and gain of distinct neomorphic functions, thus contributing to phenotypic heterogeneity of TNBC. When we characterized systematically a panel of MCF10A cell lines expressing 10 most prevalent missense mutant p53 proteins, the cell lines indeed displayed highly diverse neomorphic cellular phenotypes distinct from those of p53-knockdown cells. To investigate molecular mechanisms underlying the heterogeneity, we then performed RNA-Seq and pathway analysis and identified the key pathways, such as the Hippo/YAP pathway, that were dysregulated correlatively with phenotypic aggressiveness of the mutant p53 cell lines. In addition, ChIP-Seq analysis revealed that promoter binding capacity and preference of mutant p53 proteins associated with more aggressive phenotypes were more severely affected, especially for the genes in the dysregulated pathways identified from RNA-Seq analysis. These demonstrated collectively that different missense p53 mutations lead to heterogeneous phenotypes by exerting distinct neomorphic molecular functions. Further, given that TP53 mutations by themselves cannot drive full cancer progression, these imply that cells with different p53 missense mutations need distinct sets of additional “co-driver” mutations and alteration of cellular programs specific to each mutation for full cancer progression, representing potential molecular targets for personalized therapies. Supporting this hypothesis, when we performed genome-wide in vitro CRISPR screens in search of co-driver mutations specific to different p53 mutations, a unique set of hits was identified for each mutant p53-expressing cell lines. However, in in vivo mouse xenograft models, even the cells expressing aggressive p53 mutants such R273C failed to develop tumors upon transducing gene-deleting CRISPR gRNA libraries at high MOI. Based on reasoning that development of tumor requires mutations in both tumor suppressors and oncogenes, we then performed CRISPR screens on the p53-R273C cells overexpressing MYC, a known oncogene for TNBC, and observed tumor formation within 9 weeks, only after the CRISPR library transduction. By next-generation sequencing of the gRNA cassettes amplified from the tumors, & gt;20 novel co-driver candidates in addition to known tumor suppressors such as NF2 and PTEN were identified. Interestingly, ARAF, a proto-oncogene, was one of the top candidates found in multiple tumors, and the targeted sequencing confirmed out-of-frame deletions resulting in truncated proteins with only the N-term Ras-binding domain. We are currently validating the functional relevance of these findings in conjunction with the dysregulated pathways identified from RNA-Seq and ChIP-Seq analysis. Taken together, our integrated approach of utilizing phenotyping, multi-omics bioinformatics analysis, and screening has revealed the molecular mechanisms underlying phenotypic and molecular heterogeneity and potential molecular targets of TNBC. Citation Format: Dustin Grief, Anasuya Pal, Laura Gonzalez-Malerva, Seron Eaton, Chenxi Xu, Grant Christensen, Joy Blain, Nicholas Mellor, Jason Steel, Chitrak Gupta, Ellen Streitwieser, Abhishek Singharoy, Jin Park, Joshua LaBaer. A genome-wide functional genomics screen reveals unique co-driver mutations of mutant TP53 promoting cellular heterogeneity during breast cancer progression [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-02-05.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 7
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2015
    In:  Cancer Research Vol. 75, No. 9_Supplement ( 2015-05-01), p. P4-05-07-P4-05-07
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 9_Supplement ( 2015-05-01), p. P4-05-07-P4-05-07
    Abstract: Somatic TP53 mutations are prevalent in basal-like breast cancer (BLBC) tumors. Patients with BLBC tumors have fewer treatment options and respond poorly to current therapies. The majority of TP53 point mutations occurs in the DNA binding domain and can be categorized as either DNA contact or structural mutations. TP53 mutation results in a dominant negative phenotype with neomorphic activity. We predicted that different p53 mutations may lead to different phenotypic characteristics. To investigate this, we generated MCF10A stable transduced cell lines over-expressing the ten most frequent TP53 point mutations associated with breast cancer located in the DNA binding domain of TP53. Ectopic expression of TP53 in these stable cells has been confirmed by qRT-PCR and immunoblot. To assess the impact of mutation on carcinogenesis, we developed a series of high-throughput quantitative assays that measure several hallmarks of cancer, including proliferation, escape from apoptosis, epithelial to mesenchymal transition (EMT), cell migration and invasion, anoikis and morphology in 3D. We observed that one DNA contact mutation with the substitution of a positively charged amino acid with hydrophobic side chains such as R248W, and two structural mutants Y234C and H179R are resistant to apoptosis in presence of doxorubicin, are the most invasive displaying a mesenchymal phenotype characterized by the presence of disrupted B-catenin and E-cadherin staining, with reported worst clinical outcome, suggesting that these are the most aggressive phenotypes. Interestingly, the DNA contact mutants (R248Q, R273H, R248W, and R273C) had a growth advantage in absence of growth factors while structural mutants (R175H, H179R, Y220C, Y234C and Y163C) were more resistant to apoptosis after the cells were challenged with doxorubicin. G245S is comparable to the MCF10Ap53wt and is less proliferative, sensitive to apoptosis, and neither migratory nor invasive. In comparison, R248W which is one of the most aggressive mutants, together with R273C, and H179R resist anoikis; but Y234C, requires matrix for attachment in order to be invasive. In conjunction, these results confirmed our hypothesis that different TP53 point mutants have distinct phenotypes and functional effects on hallmarks of cancer due to distinct underlying cellular programs. Citation Format: Anasuya Pal, Laura Gonzalez-Malerva, Seron Eaton, Mayra Guzman, Donald Chow, Hongwei Yin, Jin Park, Karen Anderson, Joshua LaBaer. Functional genomics of TP53 mutations and its impact in breast cancer progression [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-05-07.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 8
    In: Clinical Breast Cancer, Elsevier BV, Vol. 18, No. 5 ( 2018-10), p. e1205-e1215
    Type of Medium: Online Resource
    ISSN: 1526-8209
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2009
    In:  MRS Proceedings Vol. 1236 ( 2009)
    In: MRS Proceedings, Springer Science and Business Media LLC, Vol. 1236 ( 2009)
    Abstract: Changes in protein glycosylation have great potential as markers for the early diagnosis of cancer and other diseases. The current analytical tools for the analysis of glycan structures need expensive instrumentation, advanced expertise, is time consuming and therefore not practical for routine screening of glycan biomarkers from human samples in a clinical setting. We are developing a novel ultrasensitive diagnostic platform called ‘NanoMonitor’ to enable rapid label-free glycosylation analysis. The technology is based on electrochemical impedance spectroscopy where capacitance changes are measured at the electrical double layer interface as a result of interaction of two molecules. The NanoMonitor platform consists of a printed circuit board with array of electrodes forming multiple sensor spots. Each sensor spot is overlaid with a nanoporous alumina membrane that forms a high density of nanowells. Lectins, proteins that bind to and recognize specific glycan structures, are conjugated to the surface of nanowells. When specific glycoproteins from a test sample bind to lectins in the nanowells, it produces a perturbation to the electrical double layer at the solid/liquid interface at the base of each nanowell. This perturbation results in a change in the impedance of the double layer which is dominated by the capacitance changes within the electrical double layer. The nanoscale confinement or crowding of biological macromolecules within the nanowells is likely to enhance signals from the interaction of glycoproteins with the lectins leading to a high sensitivity of detection with the NanoMonitor as compared to other electrochemical techniques. Using a panel of lectins, we were able to detect subtle changes in the glycosylation of fetuin protein as well as differentiate glycoproteins from normal versus cancerous cells. Our results indicate that NanoMonitor can be used as a cost-effective miniature electronic biosensor for the detection of glycan biomarkers.
    Type of Medium: Online Resource
    ISSN: 0272-9172 , 1946-4274
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2009
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  • 10
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Research Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1218-1218
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1218-1218
    Abstract: Introduction: TP53 is mutated in 30-40% of breast cancers and is associated with poor prognosis. Mutation of TP53 causes increased cellular proliferation, migration and invasion, and downstream activation of multiple pathways. HMG CoA reductase inhibitors, such as simvastatin, inhibit tumorigenic properties induced by TP53 mutation. Mechanism of this response is an important question in targeted cancer therapy. It is well known that HMG CoA reductase inhibitors block cholesterol production and prenylation. Therefore, we hypothesized that prenylation inhibitors would target p53 mutant cells primarily by inhibiting activation of the ras family induced by TP53 mutation. Method: We generated 5 MCF10A stably transduced cell lines over-expressing each of the common TP53 point mutations, R273H, G245S, R248Q, Y234C, or wild type p53. Total Ras, Ras-GTP, total RhoA and RhoA-GTP was measured by immunoprecipitation and immunoblot. Proliferation was measured using CellTiterGlo. The functional effects of a panel of prenylation inhibitors was measured using a caspase3 reporter assay, and migration was measured with a scratch assay. Illumina mRNA sequencing was performed to measure gene expression of mutant and wild type cells before and after simvastatin treatment (2.5µl, 48 h). The RNAseq was analyzed with the DAVID Enrichment tool to evaluate ras pathway activation induced by TP53 mutation. Results: Mutation in TP53 was associated with significant activation of both wild-type Ras and RhoA. Proliferation of cells expressing mutant TP53 was sensitive to a panel of prenylation inhibitors, including simvastatin. Growth inhibition by simvastatin correlated with induction of apoptosis, and could be fully rescued by addition of farnesylpyrophosphate or geranylgeranylpyrophosphate, suggesting that simvastatin functionally blocks both prenylation pathways which are activated in the presence of mutant p53 (IC50(wt/mut) = 4). RNAseq analysis confirms that Ras signaling pathways, including GAPs and GEFs are enriched in the presence of mutant TP53, and FOXO signaling is significantly targeted post statin treatment (P & lt;0.01). Conclusion: p53 mutant breast cancer cells are highly sensitive to prenylation inhibition due to activation of both ras and rhoA. Simvastatin inhibits both farnesylation and geranylgeranylation, effectively blocking ras pathway activation and induction of proliferation in p53 mutant cell lines. A gene expression panel associated with ras pathway activation was identified and may be predictive biomarkers for sensitivity to statin therapy. Citation Format: Shay R. Ferdosi, Benjamin Katchman, Jia Loo, Harneet Grewal, Seron Eaton, Shanshan Yang, Jin Park, Joshua Labaer, Karen S. Anderson. Synthetic lethal targeting of p53 mutant cells with prenylation inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1218. doi:10.1158/1538-7445.AM2017-1218
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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    detail.hit.zdb_id: 410466-3
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