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Haq, Rizwan

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Haq

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Rizwan

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Haq, Rizwan

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Now showing 1 - 3 of 3
  • Publication

    YY1 Regulates Melanocyte Development and Function by Cooperating with MITF

    (Public Library of Science, 2012) Li, Juying; Bell, Robert J. A.; Liu, Huifei; Love, Kevin T.; Larue, Lionel; Song, Jun S.; Tran, Thanh-Nga; Haq, Rizwan; Langer, Robert; Anderson, Daniel; Fisher, David

    Studies of coat color mutants have greatly contributed to the discovery of genes that regulate melanocyte development and function. Here, we generated Yy1 conditional knockout mice in the melanocyte-lineage and observed profound melanocyte deficiency and premature gray hair, similar to the loss of melanocytes in human piebaldism and Waardenburg syndrome. Although YY1 is a ubiquitous transcription factor, YY1 interacts with M-MITF, the Waardenburg Syndrome IIA gene and a master transcriptional regulator of melanocytes. YY1 cooperates with M-MITF in regulating the expression of piebaldism gene KIT and multiple additional pigmentation genes. Moreover, ChIP–seq identified genome-wide YY1 targets in the melanocyte lineage. These studies mechanistically link genes implicated in human conditions of melanocyte deficiency and reveal how a ubiquitous factor (YY1) gains lineage-specific functions by co-regulating gene expression with a lineage-restricted factor (M-MITF)—a general mechanism which may confer tissue-specific gene expression in multiple lineages.

  • Publication

    Clinical Profiling of BCL-2 Family Members in the Setting of BRAF Inhibition Offers a Rationale for Targeting De Novo Resistance Using BH3 Mimetics

    (Public Library of Science, 2014) Frederick, Dennie T.; Salas Fragomeni, Roberto A.; Schalck, Aislyn; Ferreiro-Neira, Isabel; Hoff, Taylor; Cooper, Zachary A.; Haq, Rizwan; Panka, David; Kwong, Lawrence N.; Davies, Michael A.; Cusack, James; Flaherty, Keith; Fisher, David; Mier, James; Wargo, Jennifer A.; Sullivan, Ryan J.

    While response rates to BRAF inhibitiors (BRAFi) are high, disease progression emerges quickly. One strategy to delay the onset of resistance is to target anti-apoptotic proteins such as BCL-2, known to be associated with a poor prognosis. We analyzed BCL-2 family member expression levels of 34 samples from 17 patients collected before and 10 to 14 days after treatment initiation with either vemurafenib or dabrafenib/trametinib combination. The observed changes in mRNA and protein levels with BRAFi treatment led us to hypothesize that combining BRAFi with a BCL-2 inhibitor (the BH3-mimetic navitoclax) would improve outcome. We tested this hypothesis in cell lines and in mice. Pretreatment mRNA levels of BCL-2 negatively correlated with maximal tumor regression. Early increases in mRNA levels were seen in BIM, BCL-XL, BID and BCL2-W, as were decreases in MCL-1 and BCL2A. No significant changes were observed with BCL-2. Using reverse phase protein array (RPPA), significant increases in protein levels were found in BIM and BID. No changes in mRNA or protein correlated with response. Concurrent BRAF (PLX4720) and BCL2 (navitoclax) inhibition synergistically reduced viability in BRAF mutant cell lines and correlated with down-modulation of MCL-1 and BIM induction after PLX4720 treatment. In xenograft models, navitoclax enhanced the efficacy of PLX4720. The combination of a selective BRAF inhibitor with a BH3-mimetic promises to be an important therapeutic strategy capable of enhancing the clinical efficacy of BRAF inhibition in many patients that might otherwise succumb quickly to de novo resistance. Trial Registrations: ClinicalTrials.gov NCT01006980; ClinicalTrials.gov NCT01107418; ClinicalTrials.gov NCT01264380; ClinicalTrials.gov NCT01248936; ClinicalTrials.gov NCT00949702; ClinicalTrials.gov NCT01072175

  • Publication

    A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

    (Springer Science and Business Media LLC, 2020-05-01) Slyper, Michal; Porter, Caroline; Ashenberg, Orr; Waldman, Julia; Drokhlyansky, Eugene; Wakiro, Isaac; Smilie, Christopher; Smith-Rosario, Gabriela; Wu, Jingyi; Dionne, Danielle; Vigneau, Sebastien; Jane-Valbuena, Judit; Tickle, Timothy; Napolitano, Sara; Su, Mei-Ju; Patel, Anand; Karlstrom, Asa; Gristch, Simon; Nomura, Masashi; Waghray, Avinash; Gohil, Satyen; Tsankov, Alexander; Jerby-Arnon, Livnat; Cohen, Ofir; Klughammer, Johanna; Rosen, Yanay; Gould, Joshua; Nguyen, Lan; Hofree, Matan; Tramontozzi, Peter; Levy, Rachel; Li, Bo; Wu, Catherine; Izar, Benjamin; Haq, Rizwan; Hodi, Stephen; Yoon, Charles; Hata, Aaron; Baker, Suzanne; Suva, Mario; Bueno, Raphael; Stover, Elizabeth; Clay, Michael; Dyer, M Aiven; Collins, Natalie; Matulonis, Ursula; Wagle, Nikhil; Johnson, Bruce; Rotem, Asaf; Rozenblatt-Rosen, Orit; Regev, Aviv

    Single-cell genomics is essential to chart tumor ecosystems. Although single-cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumors, single-nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each requires customization to different tissue and tumor types, posing a barrier to adoption. Here, we have developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We analyzed 216,490 cells and nuclei from 40 samples across 23 specimens spanning eight tumor types of varying tissue and sample characteristics. We evaluated protocols by cell and nucleus quality, recovery rate and cellular composition. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types, but at different proportions. Our work provides guidance for studies in a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.