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Dive into the research topics where Amanda M. Del Rosario is active.

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Featured researches published by Amanda M. Del Rosario.


Nature | 2013

The bromodomain protein Brd4 insulates chromatin from DNA damage signalling

Scott R. Floyd; Michael E. Pacold; Qiuying Huang; Scott M. Clarke; Fred C. Lam; Ian G. Cannell; Bryan D. Bryson; Jonathan Rameseder; Michael J. Lee; Emily J. Blake; Anna Fydrych; Richard Ho; Benjamin Aaron Greenberger; Grace Chen; Amanda Maffa; Amanda M. Del Rosario; David E. Root; Anne E. Carpenter; William C. Hahn; David M. Sabatini; Clark C. Chen; Forest M. White; James E. Bradner; Michael B. Yaffe

DNA damage activates a signalling network that blocks cell-cycle progression, recruits DNA repair factors and/or triggers senescence or programmed cell death. Alterations in chromatin structure are implicated in the initiation and propagation of the DNA damage response. Here we further investigate the role of chromatin structure in the DNA damage response by monitoring ionizing-radiation-induced signalling and response events with a high-content multiplex RNA-mediated interference screen of chromatin-modifying and -interacting genes. We discover that an isoform of Brd4, a bromodomain and extra-terminal (BET) family member, functions as an endogenous inhibitor of DNA damage response signalling by recruiting the condensin II chromatin remodelling complex to acetylated histones through bromodomain interactions. Loss of this isoform results in relaxed chromatin structure, rapid cell-cycle checkpoint recovery and enhanced survival after irradiation, whereas functional gain of this isoform compacted chromatin, attenuated DNA damage response signalling and enhanced radiation-induced lethality. These data implicate Brd4, previously known for its role in transcriptional control, as an insulator of chromatin that can modulate the signalling response to DNA damage.


Molecular & Cellular Proteomics | 2012

Molecular Characterization of EGFR and EGFRvIII Signaling Networks in Human Glioblastoma Tumor Xenografts

Hannah Johnson; Amanda M. Del Rosario; Bryan D. Bryson; Mark A. Schroeder; Jann N. Sarkaria; Forest M. White

Glioblastoma multiforme (GBM) is a malignant primary brain tumor with a mean survival of 15 months with the current standard of care. Genetic profiling efforts have identified the amplification, overexpression, and mutation of the wild-type (wt) epidermal growth factor receptor tyrosine kinase (EGFR) in ∼50% of GBM patients. The genetic aberration of wtEGFR is frequently accompanied by the overexpression of a mutant EGFR known as EGFR variant III (EGFRvIII, de2–7EGFR, ΔEGFR), which is expressed in 30% of GBM tumors. The molecular mechanisms of tumorigenesis driven by EGFRvIII overexpression in human tumors have not been fully elucidated. To identify specific therapeutic targets for EGFRvIII driven tumors, it is important to gather a broad understanding of EGFRvIII specific signaling. Here, we have characterized signaling through the quantitative analysis of protein expression and tyrosine phosphorylation across a panel of glioblastoma tumor xenografts established from patient surgical specimens expressing wtEGFR or overexpressing wtEGFR (wtEGFR+) or EGFRvIII (EGFRvIII+). S100A10 (p11), major vault protein, guanylate-binding protein 1(GBP1), and carbonic anhydrase III (CAIII) were identified to have significantly increased expression in EGFRvIII expressing xenograft tumors relative to wtEGFR xenograft tumors. Increased expression of these four individual proteins was found to be correlated with poor survival in patients with GBM; the combination of these four proteins represents a prognostic signature for poor survival in gliomas. Integration of protein expression and phosphorylation data has uncovered significant heterogeneity among the various tumors and has highlighted several novel pathways, related to EGFR trafficking, activated in glioblastoma. The pathways and proteins identified in these tumor xenografts represent potential therapeutic targets for this disease.


Nature Medicine | 2017

Direct evidence for cancer-cell-autonomous extracellular protein catabolism in pancreatic tumors

Shawn M. Davidson; Oliver Jonas; Mark A. Keibler; Han Wei Hou; Alba Luengo; Jared R. Mayers; Jeffrey Wyckoff; Amanda M. Del Rosario; Matthew Whitman; Christopher R. Chin; Kendall Janine Condon; Alex Lammers; Katherine A Kellersberger; Brian K Stall; Gregory Stephanopoulos; Dafna Bar-Sagi; Jongyoon Han; Joshua D. Rabinowitz; Michael J. Cima; Robert Langer; Matthew G. Vander Heiden

Mammalian tissues rely on a variety of nutrients to support their physiological functions. It is known that altered metabolism is involved in the pathogenesis of cancer, but which nutrients support the inappropriate growth of intact malignant tumors is incompletely understood. Amino acids are essential nutrients for many cancer cells that can be obtained through the scavenging and catabolism of extracellular protein via macropinocytosis. In particular, macropinocytosis can be a nutrient source for pancreatic cancer cells, but it is not fully understood how the tumor environment influences metabolic phenotypes and whether macropinocytosis supports the maintenance of amino acid levels within pancreatic tumors. Here we utilize miniaturized plasma exchange to deliver labeled albumin to tissues in live mice, and we demonstrate that breakdown of albumin contributes to the supply of free amino acids in pancreatic tumors. We also deliver albumin directly into tumors using an implantable microdevice, which was adapted and modified from ref. 9. Following implantation, we directly observe protein catabolism and macropinocytosis in situ by pancreatic cancer cells, but not by adjacent, non-cancerous pancreatic tissue. In addition, we find that intratumoral inhibition of macropinocytosis decreases amino acid levels. Taken together, these data suggest that pancreatic cancer cells consume extracellular protein, including albumin, and that this consumption serves as an important source of amino acids for pancreatic cancer cells in vivo.


Molecular BioSystems | 2010

Phosphotyrosine signaling analysis of site-specific mutations on EGFRvIII identifies determinants governing glioblastoma cell growth

Paul H. Huang; Emily R. Miraldi; Alexander M. Xu; Vibin Anto Kundukulam; Amanda M. Del Rosario; Ryan A. Flynn; Webster K. Cavenee; Frank B. Furnari; Forest M. White

To evaluate the role of individual EGFR phosphorylation sites in activating components of the cellular signaling network we have performed a mass spectrometry-based analysis of the phosphotyrosine network downstream of site-specific EGFRvIII mutants, enabling quantification of network-level effects of site-specific point mutations. Mutation at Y845, Y1068 or Y1148 resulted in diminished receptor phosphorylation, while mutation at Y1173 led to increased phosphorylation on multiple EGFRvIII residues. Altered phosphorylation at the receptor was recapitulated in downstream signaling network activation levels, with Y1173F mutation leading to increased phosphorylation throughout the network. Computational modeling of GBM cell growth as a function of network phosphorylation levels highlights the Erk pathway as crucial for regulating EGFRvIII-driven U87MG GBM cell behavior, with the unexpected finding that Erk1/2 is negatively correlated to GBM cell growth. Genetic manipulation of this pathway supports the model, demonstrating that EGFRvIII-expressing U87MG GBM cells are sensitive to Erk activation levels. Additionally, we developed a model describing glioblastoma cell growth based on a reduced set of phosphoproteins, which represent potential candidates for future development as therapeutic targets for EGFRvIII-positive glioblastoma patients.


Current Opinion in Genetics & Development | 2010

QUANTIFYING ONCOGENIC PHOSPHOTYROSINE SIGNALING NETWORKS THROUGH SYSTEMS BIOLOGY

Amanda M. Del Rosario; Forest M. White

Pathways linking oncogenic mutations to increased proliferative or migratory capacity are poorly characterized, yet provide potential targets for therapeutic intervention. As tyrosine phosphorylation signaling networks are known to mediate proliferation and migration, and frequently go awry in cancers, a comprehensive understanding of these networks in normal and diseased states is warranted. To this end, recent advances in mass spectrometry, protein microarrays, and computational algorithms provide insight into various aspects of the network including phosphotyrosine identification, analysis of kinase/phosphatase substrates, and phosphorylation-mediated protein-protein interactions. Here we detail technological advances underlying these system-level approaches and give examples of their applications. By combining multiple approaches, it is now possible to quantify changes in the phosphotyrosine signaling network with various oncogenic mutations, thereby unveiling novel therapeutic targets.


Journal of Proteome Research | 2017

Characterization of the Extracellular Matrix of Normal and Diseased Tissues Using Proteomics

Alexandra Naba; Oliver M. T. Pearce; Amanda M. Del Rosario; Duanduan Ma; Huiming Ding; Vinothini Rajeeve; Pedro R. Cutillas; Frances R. Balkwill; Richard O. Hynes

The extracellular matrix (ECM) is a complex meshwork of insoluble fibrillar proteins and signaling factors interacting together to provide architectural and instructional cues to the surrounding cells. Alterations in ECM organization or composition and excessive ECM deposition have been observed in diseases such as fibrosis, cardiovascular diseases, and cancer. We provide here optimized protocols to solubilize ECM proteins from normal or tumor tissues, digest the proteins into peptides, analyze ECM peptides by mass spectrometry, and interpret the mass spectrometric data. In addition, we present here two novel R-script-based web tools allowing rapid annotation and relative quantification of ECM proteins, peptides, and intensity/abundance in mass spectrometric data output files. We illustrate this protocol with ECMs obtained from two pairs of tissues, which differ in ECM content and cellularity: triple-negative breast cancer and adjacent mammary tissue, and omental metastasis from high-grade serous ovarian cancer and normal omentum. The complete proteomics data set generated in this study has been deposited to the public repository ProteomeXchange with the data set identifier: PXD005554.


Development | 2014

SirT1 is required in the male germ cell for differentiation and fecundity in mice

Eric L. Bell; Ippei Nagamori; Eric O. Williams; Amanda M. Del Rosario; Bryan D. Bryson; Nicki Watson; Forest M. White; Paolo Sassone-Corsi; Leonard Guarente

Sirtuins are NAD+-dependent deacylases that regulate numerous biological processes in response to the environment. SirT1 is the mammalian ortholog of yeast Sir2, and is involved in many metabolic pathways in somatic tissues. Whole body deletion of SirT1 alters reproductive function in oocytes and the testes, in part caused by defects in central neuro-endocrine control. To study the function of SirT1 specifically in the male germ line, we deleted this sirtuin in male germ cells and found that mutant mice had smaller testes, a delay in differentiation of pre-meiotic germ cells, decreased spermatozoa number, an increased proportion of abnormal spermatozoa and reduced fertility. At the molecular level, mutants do not have the characteristic increase in acetylation of histone H4 at residues K5, K8 and K12 during spermiogenesis and demonstrate corresponding defects in the histone to protamine transition. Our findings thus reveal a germ cell-autonomous role of SirT1 in spermatogenesis.


Molecular Biology of the Cell | 2015

PTP1B-dependent regulation of receptor tyrosine kinase signaling by the actin-binding protein Mena.

Shannon K. Hughes; Madeleine J. Oudin; Jenny Tadros; Jason R. Neil; Amanda M. Del Rosario; Brian A. Joughin; Laila Ritsma; Jeff Wyckoff; Eliza Vasile; Robert J. Eddy; Ulrike Philippar; Alisha Lussiez; John Condeelis; Jacco van Rheenen; Forest M. White; Douglas A. Lauffenburger; Frank B. Gertler

The actin-binding protein Mena regulates RTK signaling after growth factor stimulation in tumor cells by a novel mechanism. The alternatively spliced MenaINV isoform disrupts this attenuation to drive sensitivity to growth factors, resistance to targeted inhibitors, and ultimately tumor invasion and metastasis.


Proceedings of the National Academy of Sciences of the United States of America | 2017

Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression and contributor to a signature prognostic of patient survival

Vasilena Gocheva; Alexandra Naba; Arjun Bhutkar; Talia Guardia; Kathryn M. Miller; Carman Man-Chung Li; Talya L. Dayton; Francisco J. Sánchez-Rivera; Caroline Kim-Kiselak; Noor Jailkhani; Monte M. Winslow; Amanda M. Del Rosario; Richard O. Hynes; Tyler Jacks

Significance Quantitative mass spectrometric profiling of the extracellular matrix composition of normal lung, fibrotic lung, primary lung tumors, and lung metastases to the lymph nodes uncovered specific signatures distinguishing these tissues. CRISPR/Cas9-mediated gene activation of one of the identified factors, Tenascin-C (Tnc), showed that this protein plays a role in mediating lung adenocarcinoma metastasis. Tnc expression is repressed, directly or indirectly, by the transcription factor Nkx2-1. Bioinformatic analysis shows that expression of three matrisome factors (TNC, S100A10, and S100A11) can predict survival in patients with lung adenocarcinoma. These factors could serve as disease markers that could be exploited for better diagnosis of lung cancer, and their future study could be used to inform the design of more potent treatments for patients. The extracellular microenvironment is an integral component of normal and diseased tissues that is poorly understood owing to its complexity. To investigate the contribution of the microenvironment to lung fibrosis and adenocarcinoma progression, two pathologies characterized by excessive stromal expansion, we used mouse models to characterize the extracellular matrix (ECM) composition of normal lung, fibrotic lung, lung tumors, and metastases. Using quantitative proteomics, we identified and assayed the abundance of 113 ECM proteins, which revealed robust ECM protein signatures unique to fibrosis, primary tumors, or metastases. These analyses indicated significantly increased abundance of several S100 proteins, including Fibronectin and Tenascin-C (Tnc), in primary lung tumors and associated lymph node metastases compared with normal tissue. We further showed that Tnc expression is repressed by the transcription factor Nkx2-1, a well-established suppressor of metastatic progression. We found that increasing the levels of Tnc, via CRISPR-mediated transcriptional activation of the endogenous gene, enhanced the metastatic dissemination of lung adenocarcinoma cells. Interrogation of human cancer gene expression data revealed that high TNC expression correlates with worse prognosis for lung adenocarcinoma, and that a three-gene expression signature comprising TNC, S100A10, and S100A11 is a robust predictor of patient survival independent of age, sex, smoking history, and mutational load. Our findings suggest that the poorly understood ECM composition of the fibrotic and tumor microenvironment is an underexplored source of diagnostic markers and potential therapeutic targets for cancer patients.


Proteomics | 2015

Engineered bromodomains to explore the acetylproteome

Bryan D. Bryson; Amanda M. Del Rosario; Jonathan S. Gootenberg; Michael B. Yaffe; Forest M. White

MS‐based analysis of the acetylproteome has highlighted a role for acetylation in a wide array of biological processes including gene regulation, metabolism, and cellular signaling. To date, anti‐acetyllysine antibodies have been used as the predominant affinity reagent for enrichment of acetyllysine‐containing peptides and proteins; however, these reagents suffer from high nonspecific binding and lot‐to‐lot variability. Bromodomains represent potential affinity reagents for acetylated proteins and peptides, given their natural role in recognition of acetylated sequence motifs in vivo. To evaluate their efficacy, we generated recombinant proteins representing all known yeast bromodomains. Bromodomain specificity for acetylated peptides was determined using degenerate peptide arrays, leading to the observation that different bromodomains display a wide array of binding specificities. Despite their relatively weak affinity, we demonstrate the ability of selected bromodomains to enrich acetylated peptides from a complex biological mixture prior to mass spectrometric analysis. Finally, we demonstrate a method for improving the utility of bromodomain enrichment for MS through engineering novel affinity reagents using combinatorial tandem bromodomain pairs.

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Forest M. White

Massachusetts Institute of Technology

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Bryan D. Bryson

Massachusetts Institute of Technology

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Alexandra Naba

Massachusetts Institute of Technology

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Richard O. Hynes

Massachusetts Institute of Technology

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Alexander M. Xu

Massachusetts Institute of Technology

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Arjun Bhutkar

Massachusetts Institute of Technology

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