Chemical Modulation of Phospho-Signaling Pathways Involved in Cancer
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Supplementary Information Method CLEAR-CLIP. Mouse Keratinocytes
Supplementary Information Method CLEAR-CLIP. Mouse keratinocytes of the designated genotype were maintained in E-low calcium medium. Inducible cells were treated with 3 ug/ml final concentration doxycycline for 24 hours before performing CLEAR-CLIP. One 15cm dish of confluent cells was used per sample. Cells were washed once with cold PBS. 10mls of cold PBS was then added and cells were irradiated with 300mJ/cm2 UVC (254nM wavelength). Cells were then scraped from the plates in cold PBS and pelleted by centrifugation at 1,000g for 2 minutes. Pellets were frozen at -80oC until needed. Cells were then lysed on ice with occasional vortexing in 1ml of lysis buffer (50mM Tris-HCl pH 7.4, 100mM NaCl, 1mM MgCl2, 0.1 mM CaCl2, 1% NP-40, 0.5% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitors (Roche #88665) and RNaseOUT (Invitrogen #10777019) at 4ul/ml final concentration. Next, TurboDNase (Invitrogen #AM2238, 10U), RNase A (0.13ug) and RNase T1 (0.13U) were added and samples were incubated at 37oC for 5 minutes with occasional mixing. Samples were immediately placed on ice and then centrifuged at 16,160g at 4oC for 20 minutes to clear lysate. 25ul of Protein-G Dynabeads (Invitrogen #10004D) were used per IP. Dynabeads were pre-washed with lysis buffer and pre- incubated with 3ul of Wako Anti-Mouse-Ago2 (2D4) antibody. The dynabead/antibody mixture was added to the lysate and rocked for 2 hours at 4oC. All steps after the IP were done on bead until samples were loaded into the polyacrylamide gel. -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal -
The PRKCI and SOX2 Oncogenes Are Coamplified and Cooperate to Activate Hedgehog Signaling in Lung Squamous Cell Carcinoma
Cancer Cell Article The PRKCI and SOX2 Oncogenes Are Coamplified and Cooperate to Activate Hedgehog Signaling in Lung Squamous Cell Carcinoma Verline Justilien,1 Michael P. Walsh,1 Syed A. Ali,1 E. Aubrey Thompson,1 Nicole R. Murray,1 and Alan P. Fields1,* 1Department of Cancer Biology, Mayo Clinic Cancer Center, Jacksonville, FL 32224, USA *Correspondence: fi[email protected] http://dx.doi.org/10.1016/j.ccr.2014.01.008 SUMMARY We report that two oncogenes coamplified on chromosome 3q26, PRKCI and SOX2, cooperate to drive a stem-like phenotype in lung squamous cell carcinoma (LSCC). Protein kinase Ci (PKCi) phosphorylates SOX2, a master transcriptional regulator of stemness, and recruits it to the promoter of Hedgehog (Hh) acyltransferase (HHAT) that catalyzes the rate-limiting step in Hh ligand production. PKCi-mediated SOX2 phosphorylation is required for HHAT promoter occupancy, HHAT expression, and maintenance of a stem-like phenotype. Primary LSCC tumors coordinately overexpress PKCi, SOX2, and HHAT and require PKCi-SOX2-HHAT signaling to maintain a stem-like phenotype. Thus, PKCi and SOX2 are genetically, biochemically, and functionally linked in LSCC, and together they drive tumorigenesis by establishing a cell-autonomous Hh signaling axis. INTRODUCTION Similar cell populations exist in several cancer types (Chen et al., 2012; Driessens et al., 2012; Schepers et al., 2012). Line- Lung cancer is the major cause of cancer death, with a 5-year- age tracing reveals these cells clonally expand to give rise to survival rate of 16% (Siegel et al., 2012). Non-small cell lung malignant and nonmalignant, differentiated cell types. -
CDK5 Functions As a Tumor Promoter in Human Lung Cancer Jie Zeng1#, Shuanshuan Xie1#, Yang Liu1, Changxing Shen1, Xiaolian Song1, Guo-Lei Zhou2, 3, Changhui Wang1
Journal of Cancer 2018, Vol. 9 3950 Ivyspring International Publisher Journal of Cancer 2018; 9(21): 3950-3961. doi: 10.7150/jca.25967 Research Paper CDK5 Functions as a Tumor Promoter in Human Lung Cancer Jie Zeng1#, Shuanshuan Xie1#, Yang Liu1, Changxing Shen1, Xiaolian Song1, Guo-Lei Zhou2, 3, Changhui Wang1 1. Department of Respiratory Medicine, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, PR China; 2. Department of Biological Sciences, Arkansas State University, State University, AR 72467, USA; 3. Molecular Biosciences Program, Arkansas State University, State University, AR 72467, USA. # These authors have contributed equally to this work. Corresponding author: Changhui Wang, No.301, Mid Yanchang Rd, Department of Respiratory Medicine, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China, 200072. Email: [email protected], Fax number: 86-021-66301685, Telephone: 86-021-66301685 © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2018.03.09; Accepted: 2018.08.19; Published: 2018.10.10 Abstract Cyclin-dependent kinase 5 (CDK5), an atypical member of the cyclin-dependent kinase family, plays an important role in the nervous system. Recent studies have shown that CDK5 is also associated with tumors. However, few studies have been done to investigate the mechanism underlying the connection between CDK5 and cancers. To explore the role of CDK5 in cancers by using an extensive bioinformatics data mining process. We mined the transcriptional, survival, functions and structure of CDK5 gene through databases and in vitro experiments. -
GAK and PRKCD Are Positive Regulators of PRKN-Independent
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.05.369496; this version posted November 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 GAK and PRKCD are positive regulators of PRKN-independent 2 mitophagy 3 Michael J. Munson1,2*, Benan J. Mathai1,2, Laura Trachsel1,2, Matthew Yoke Wui Ng1,2, Laura 4 Rodriguez de la Ballina1,2, Sebastian W. Schultz2,3, Yahyah Aman4, Alf H. Lystad1,2, Sakshi 5 Singh1,2, Sachin Singh 2,3, Jørgen Wesche2,3, Evandro F. Fang4, Anne Simonsen1,2* 6 1Division of Biochemistry, Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo 7 2Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, N-0316, Oslo, Norway. 8 3Department of Molecular Cell Biology, The Norwegian Radium Hospital Montebello, N-0379, Oslo, Norway 9 4Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway 10 11 Keywords: GAK, Cyclin G Associated Kinase, PRKCD, Protein Kinase C Delta, Mitophagy, DFP, 12 DMOG, PRKN 13 14 *Corresponding Authors: 15 [email protected] 16 [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.05.369496; this version posted November 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
TGF-Beta/Smad
Inhibitors, Agonists, Screening Libraries www.MedChemExpress.com TGF-beta/Smad The TGF-β superfamily comprises TGF-βs, bone morphogenetic proteins (BMPs), activins and related proteins. These proteins were identified mainly through their roles in development; they regulate the establishment of the body plan and tissue differentiation through their effects on cell proliferation, differentiation and migration. There are eight vertebrate Smads: Smad1 to Smad8. Smad2 and Smad3 are activated through carboxy-terminal phosphorylation by the TGF-b and activin receptors TbRI and ActRIB, whereas Smad1, Smad5 and Smad8 are activated by ALK-1, ALK-2, BMP-RIA/ALK-3 and BMP-RIB/ALK-6 in response to BMP1–4 or other ligands. TGF-β binds two receptor types, the TGF-β type I and type II receptors (TβRI and TβRII, respectively) to form the active signaling complex. The TβRII activates TβRI kinase activity by phosphorylating the TβRI, which then transmits the signal intracellularly by phosphorylating the Smad transcription factors. The Smads constitutively shuttle between the cytoplasm and nucleus, but signaling causes the Smads to accumulate predominantly in the nucleus where they bind DNA and other transcriptional machinery to regulate the expression of target genes. TGF-β also involves in the regulations of PI3K and MAPK signaling pathways. Abnormalities of the TGF-beta receptors and SMADs have been detected in various tumors, including colorectal cancers and pancreatic cancers. In addition, TGF-β/BMP signaling is also involved in osteoblast differentiation, chondrocyte differentiation, skeletal development, cartilage formation, bone formation, bone homeostasis, and related human bone diseases caused by the disruption ofTGF-β/BMP signaling. -
Inhibition of GCK-IV Kinases Dissociates Cell Death and Axon Regeneration in CNS Neurons
Inhibition of GCK-IV kinases dissociates cell death and axon regeneration in CNS neurons Amit K. Patela, Risa M. Broyera, Cassidy D. Leea, Tianlun Lua, Mikaela J. Louieb, Anna La Torreb, Hassan Al-Alic,d,e, Mai T. Vua, Katherine L. Mitchellf, Karl J. Wahlina, Cynthia A. Berlinickef, Vinod Jaskula-Rangaf, Yang Hug, Xin Duanh, Santiago Vilarc, John L. Bixbyd,i,j, Robert N. Weinreba, Vance P. Lemmonc,e,j, Donald J. Zackf,k,l, and Derek S. Welsbiea,1 aViterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA 92093; bDepartment of Cell Biology and Human Anatomy, University of California, Davis, CA 95616; cTruvitech LLC, Miami, FL 33136; dThe Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami, Miami, FL 33136; ePeggy and Hardol Katz Family Drug Discovery Center, Department of Medicine, and Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136; fWilmer Eye Institute, Johns Hopkins University, Baltimore, MD 21287; gDepartment of Ophthalmology, Stanford University, Stanford, CA 94304; hDepartment of Ophthalmology, University of California, San Francisco, CA 94158; iDepartment of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33136; jCenter for Computational Sciences, University of Miami, Miami, FL 33136; kDepartment of Neuroscience, Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD 21287; and lDepartment of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21287 Edited by Carol Ann Mason, Columbia University, New York, NY, and approved November 10, 2020 (received for review March 20, 2020) Axon injury is a hallmark of many neurodegenerative diseases, culminate in cell death. -
C‑Jun and FOXO1 Mediate the Expression of Oncogenic PKC‑Ι in Human Prostate Cancer Cells with an Interplay Between NF‑Κb, IL‑8 and ICAM‑1
WORLD ACADEMY OF SCIENCES JOURNAL 2: 16, 2020 c‑Jun and FOXO1 mediate the expression of oncogenic PKC‑ι in human prostate cancer cells with an interplay between NF‑κB, IL‑8 and ICAM‑1 WISHRAWANA S. RATNAYAKE, CHRISTOPHER A. APOSTOLATOS, SLOAN BREEDY and MILDRED ACEVEDO‑DUNCAN Department of Chemistry, University of South Florida, Tampa, FL 33620, USA Received March 31, 2020; Accepted June 19, 2020 DOI: 10.3892/wasj.2020.57 Abstract. Aggressive and metastatic prostate cancers are while FOXO1 negatively affects its expression. This was medi‑ among the leading causes of fatality in men. Prior observations ated through signal transducer and activator of transcription by the authors regarding atypical protein kinase C isoforms (STAT)3/5 and NF‑κB. An upregulation in the expression of (aPKCs) in relation to prostate cancers demonstrated elevated intercellular adhesion molecule 1 (ICAM‑1) and interleukin levels of PKC‑iota (PKC‑ι) in patient samples compared to (IL)‑8 was observed as a result of PKC‑ι specific inhibition. non‑malignant prostate tissues. This indicates that PKC‑ι is PKC‑ι inhibition thus promotes ICAM‑1/FOXO1 signaling a potential biomarker for initiating and maintaining prostate and downregulates IL‑8/JNK/c‑Jun signaling, indicating that carcinogenesis. In addition, PKC‑ι is an oncogene that encour‑ PKC‑ι inhibition subdues its production mechanism. Overall, ages the activation of the nuclear factor (NF)‑κB, assisting an analysis of the results led us to suggest that PKC‑ι inhibition carcinogenesis. The specific inhibition of PKC‑ι de‑regulated downregulates its own oncogenic signaling, while the induc‑ the expression of both PKC‑ι and its phosphorylation; thus, tion of anti‑tumor signaling pathways strongly suggests that PKC‑ι functionally controls its own expression in prostate PKC‑ι related molecular mechanisms provide a novel thera‑ carcinoma. -
The MAP3K13-TRIM25-Fbxw7α Axis Affects C-Myc Protein Stability and Tumor Development
Cell Death & Differentiation (2020) 27:420–433 https://doi.org/10.1038/s41418-019-0363-0 ARTICLE The MAP3K13-TRIM25-FBXW7α axis affects c-Myc protein stability and tumor development 1,2 1,2 1,2 1,2 1,2 3 1,2 Qiang Zhang ● Xu Li ● Kasa Cui ● Cheng Liu ● Mingzhi Wu ● Edward V. Prochownik ● Youjun Li Received: 28 December 2018 / Revised: 17 May 2019 / Accepted: 28 May 2019 / Published online: 11 June 2019 © The Author(s), under exclusive licence to ADMC Associazione Differenziamento e Morte Cellulare 2019 Abstract c-Myc (Myc) is a master transcription factor that is often deregulated and highly expressed by at least 50% of cancers. In many cases, Myc protein levels correlate with resistance to therapy and poor prognosis. However, effective direct inhibition of Myc by pharmacologic approaches has remained unachievable. Here, we identify MAP3K13 as a positive regulator of Myc to promote tumor development. Our findings show that MAP3K13 upregulation is predictive of poor outcomes in patients with hepatocellular carcinoma (HCC). Mechanistically, MAP3K13 phosphorylates the E3 ubiquitin ligase TRIM25 at Ser12 to decrease its polyubiquitination and proteasomal degradation. This newly stabilized TRIM25 then directly ubiquitinates Lys412 of FBXW7α, a core subunit of the SKP1-Cullin-F-box (SCF) ubiquitin ligase complex involved in Myc ubiquitination, thereby stabilizing Myc. Together, these results reveal a novel regulatory pathway that supervises Myc protein stability via the MAP3K13-TRIM25-FBXW7α signaling axis. In addition, they provide a potential therapeutic target in Myc over-expressing human cancers. Introduction ablation are no longer feasible [4, 5]. Therefore, new effective treatments for improving survival will require Hepatocellular carcinoma (HCC) is the fifth most prevalent novel insights into the precise molecular mechanisms cancer worldwide and accounts for ~745,500 death per year underlying the basic mechanisms that support HCC growth. -
PRODUCTS and SERVICES Target List
PRODUCTS AND SERVICES Target list Kinase Products P.1-11 Kinase Products Biochemical Assays P.12 "QuickScout Screening Assist™ Kits" Kinase Protein Assay Kits P.13 "QuickScout Custom Profiling & Panel Profiling Series" Targets P.14 "QuickScout Custom Profiling Series" Preincubation Targets Cell-Based Assays P.15 NanoBRET™ TE Intracellular Kinase Cell-Based Assay Service Targets P.16 Tyrosine Kinase Ba/F3 Cell-Based Assay Service Targets P.17 Kinase HEK293 Cell-Based Assay Service ~ClariCELL™ ~ Targets P.18 Detection of Protein-Protein Interactions ~ProbeX™~ Stable Cell Lines Crystallization Services P.19 FastLane™ Structures ~Premium~ P.20-21 FastLane™ Structures ~Standard~ Kinase Products For details of products, please see "PRODUCTS AND SERVICES" on page 1~3. Tyrosine Kinases Note: Please contact us for availability or further information. Information may be changed without notice. Expression Protein Kinase Tag Carna Product Name Catalog No. Construct Sequence Accession Number Tag Location System HIS ABL(ABL1) 08-001 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) BTN BTN-ABL(ABL1) 08-401-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ABL(ABL1) [E255K] HIS ABL(ABL1)[E255K] 08-094 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) HIS ABL(ABL1)[T315I] 08-093 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) [T315I] BTN BTN-ABL(ABL1)[T315I] 08-493-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ACK(TNK2) GST ACK(TNK2) 08-196 Catalytic domain -
Xo PANEL DNA GENE LIST
xO PANEL DNA GENE LIST ~1700 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes (at 400 -500x average coverage on tumor) Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 -
A NOVEL RNA APTAMER-BASED TARGETED THERAPY for OVARIAN CANCER with PRKCI GENE AMPLIFICATION by Hina Salam Rehmani July 2019 COPY
A NOVEL RNA APTAMER-BASED TARGETED THERAPY FOR OVARIAN CANCER WITH PRKCI GENE AMPLIFICATION By Hina Salam Rehmani Submitted to the Faculty of the Graduate School of Augusta University in partial fulfillment of the Requirements of the Degree of Doctor of Philosophy in Biochemistry and Cancer Biology July 2019 COPYRIGHT © 2019 by Hina S. Rehmani ACKNOWLEDGEMENTS Firstly, I would like to thank the many researchers in our scientific community that aided me in my research and development as a scientist. Thank you to my mentor, Dr. Shuang Huang, for opening your lab to me, motivating me, and for addressing all my questions and concerns. Thank you to all my committee members for their valuable feedback and discussions. Thank you to Drs. Hong, Morgan, Zemksov, and Islam for their patience in teaching me and sharing their technical aptitude. Thank you to Kim, Ida, Joyce and Bennie at the department for their help and thanks to the Graduate Office for their coursework guidance and support in presenting at AACR. I would also like to thank the unwavering support of my dear family, friends, and community. Overwhelming and heartfelt gratitude goes to my parents, Abdul S. Rehmani and Eram Yasmeen. It has been with your love, sacrifice and fortification that I have accomplished my goals and I hope to make you proud always. To my best friend and sister, Sadaf, thank you for all of your smart advice and kind words of encouragement at every obstacle. Thanks also to my brother Abdur Rahim, sister Abeera, and youngest brother Usman for always being sources of happiness and motivation.