Cancer Stem Cells
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Resistance to Drugs and Cell Death in Cancer Stem Cells (Cscs)
Journal of Translational Science Review Article ISSN: 2059-268X Resistance to drugs and cell death in cancer stem cells (CSCs) Ahmad R Safa* Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, USA Abstract Human cancers emerge from cancer stem cells (CSCs), which are resistant to cancer chemotherapeutic agents, radiation, and cell death. Moreover, autophagy provides the cytoprotective effect which contributes to drug resistance in these cells. Furthermore, much evidence shows that CSCs cause tumor initiation, progression, metastasis, and cancer recurrence. Various signaling pathways including the phosphatidylinositol 3-kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR), maternal embryonic leucine zipper kinase (MELK), NOTCH1, and Wnt/β-catenin as well as the CSC markers maintain CSC properties. Several mechanisms including overexpression of ABC multidrug resistance transporters, a deficiency in mitochondrial-mediated apoptosis, upregulation of c-FLIP, overexpression of anti- apoptotic Bcl-2 family members and inhibitors of apoptosis proteins (IAPs), and PI3K/AKT signaling contribute to enhancing resistance to chemotherapeutic drugs and cell death induction in CSCs in various cancers. Studying such pathways may help provide detailed understanding of CSC mechanisms of resistance to chemotherapeutic agents and apoptosis and may lead to the development of effective therapeutics to eradicate CSCs. Abbreviations: Apaf-1: Apoptotic Proteinase-Activating Factor-1; Tumor recurrence is the major cause of death in patients with AIC: Apoptosis Inhibitory Complex; BH3: Bcl-2 Homology Domain-3; incurable malignancies and is attributed to treatment-resistant CSCs CSCs: Cancer Stem Cells; c-FLIP: cellular FLICE (FADD-like IL- within the primary tumor (Figure 2). CSCs are a rare cell population 1β-converting enzyme)-Inhibitory Protein; DISC: Death-Inducing within a tumor, which express differing molecular markers in various Signaling Complex; DNA-PK: DNA-Dependent Protein Kinase; FADD: types of cancers [1,2,4]. -
Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene, -
The P90 RSK Family Members: Common Functions and Isoform Specificity
Published OnlineFirst August 22, 2013; DOI: 10.1158/0008-5472.CAN-12-4448 Cancer Review Research The p90 RSK Family Members: Common Functions and Isoform Specificity Romain Lara, Michael J. Seckl, and Olivier E. Pardo Abstract The p90 ribosomal S6 kinases (RSK) are implicated in various cellular processes, including cell proliferation, survival, migration, and invasion. In cancer, RSKs modulate cell transformation, tumorigenesis, and metastasis. Indeed, changes in the expression of RSK isoforms have been reported in several malignancies, including breast, prostate, and lung cancers. Four RSK isoforms have been identified in humans on the basis of their high degree of sequence homology. Although this similarity suggests some functional redundancy between these proteins, an increasing body of evidence supports the existence of isoform-based specificity among RSKs in mediating particular cellular processes. This review briefly presents the similarities between RSK family members before focusing on the specific function of each of the isoforms and their involvement in cancer progression. Cancer Res; 73(17); 1–8. Ó2013 AACR. Introduction subsequently cloned throughout the Metazoan kingdom (2). The extracellular signal–regulated kinase (ERK)1/2 pathway The genomic analysis of several cancer types suggests that fi is involved in key cellular processes, including cell prolifera- these genes are not frequently ampli ed or mutated, with some tion, differentiation, survival, metabolism, and migration. notable exceptions (e.g., in the case of hepatocellular carcino- More than 30% of all human cancers harbor mutations within ma; ref. 6). Table 1 summarizes reported genetic changes in this pathway, mostly resulting in gain of function and conse- RSK genes. -
Activation of Diverse Signalling Pathways by Oncogenic PIK3CA Mutations
ARTICLE Received 14 Feb 2014 | Accepted 12 Aug 2014 | Published 23 Sep 2014 DOI: 10.1038/ncomms5961 Activation of diverse signalling pathways by oncogenic PIK3CA mutations Xinyan Wu1, Santosh Renuse2,3, Nandini A. Sahasrabuddhe2,4, Muhammad Saddiq Zahari1, Raghothama Chaerkady1, Min-Sik Kim1, Raja S. Nirujogi2, Morassa Mohseni1, Praveen Kumar2,4, Rajesh Raju2, Jun Zhong1, Jian Yang5, Johnathan Neiswinger6, Jun-Seop Jeong6, Robert Newman6, Maureen A. Powers7, Babu Lal Somani2, Edward Gabrielson8, Saraswati Sukumar9, Vered Stearns9, Jiang Qian10, Heng Zhu6, Bert Vogelstein5, Ben Ho Park9 & Akhilesh Pandey1,8,9 The PIK3CA gene is frequently mutated in human cancers. Here we carry out a SILAC-based quantitative phosphoproteomic analysis using isogenic knockin cell lines containing ‘driver’ oncogenic mutations of PIK3CA to dissect the signalling mechanisms responsible for oncogenic phenotypes induced by mutant PIK3CA. From 8,075 unique phosphopeptides identified, we observe that aberrant activation of PI3K pathway leads to increased phosphorylation of a surprisingly wide variety of kinases and downstream signalling networks. Here, by integrating phosphoproteomic data with human protein microarray-based AKT1 kinase assays, we discover and validate six novel AKT1 substrates, including cortactin. Through mutagenesis studies, we demonstrate that phosphorylation of cortactin by AKT1 is important for mutant PI3K-enhanced cell migration and invasion. Our study describes a quantitative and global approach for identifying mutation-specific signalling events and for discovering novel signalling molecules as readouts of pathway activation or potential therapeutic targets. 1 McKusick-Nathans Institute of Genetic Medicine and Department of Biological Chemistry, Johns Hopkins University School of Medicine, 733 North Broadway, BRB 527, Baltimore, Maryland 21205, USA. -
Characterization of a Protein Kinase B Inhibitor in Vitro and in Insulin-Treated Liver Cells Lisa Logie,1 Antonio J
Original Article Characterization of a Protein Kinase B Inhibitor In Vitro and in Insulin-Treated Liver Cells Lisa Logie,1 Antonio J. Ruiz-Alcaraz,1 Michael Keane,2,3 Yvonne L. Woods,2 Jennifer Bain,2 Rudolfo Marquez,3 Dario R. Alessi,1 and Calum Sutherland1 OBJECTIVE—Abnormal expression of the hepatic gluconeo- genic genes (glucose-6-phosphatase [G6Pase] and PEPCK) con- tributes to hyperglycemia. These genes are repressed by insulin, rotein kinase B (PKB) is a member of the AGC but this process is defective in diabetic subjects. Protein kinase family of protein kinases (1–3). In mammals, B (PKB) is implicated in this action of insulin. An inhibitor of there are three isoforms (PKB␣, PKB, and PKB, Akt inhibitor (Akti)-1/2, was recently reported; however, PPKB␥) (1). PKB is activated following induction the specificity and efficacy against insulin-induced PKB was not of phosphatidylinositol 3 (PI3) kinase activity and the reported. Our aim was to characterize the specificity and efficacy resultant generation of the lipid second messengers PI of Akti-1/2 in cells exposed to insulin and then establish whether 3,4,5 trisphosphate and PI 3,4 bisphosphate (4). These inhibition of PKB is sufficient to prevent regulation of hepatic lipids bind to the PH domain of PKB, altering its confor- gene expression by insulin. mation and permitting access to upstream protein kinases RESEARCH DESIGN AND METHODS—Akti-1/2 was assayed (5). Phosphoinositide-dependent protein kinase-1 phos- against 70 kinases in vitro and its ability to block PKB activation phorylates PKB at Thr308 (6), and a second phosphoryla- in cells exposed to insulin fully characterized. -
Effects of Microrna Modulation of PLK1 in Breast Cancer in Combination with PLK1 Inhibitor NMS-P937
Effects of MicroRNA modulation of PLK1 in Breast Cancer in combination with PLK1 inhibitor NMS-P937 Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Nicole Zalles Graduate Program in Biomedical Sciences The Ohio State University 2019 Dissertation Committee Carlo M. Croce, M.D., Advisor Kay Huebner, Ph.D. William Carson, M.D. Larry Schlesinger, M.D. 1 Copyrighted by Nicole Zalles 2019 Abstract The elucidation of more universal therapeutic targets is key to effectively combat the heterogeneity of breast cancer (BrCa). MicroRNAs (miRNAs) are small noncoding RNAs that are an abundant class of endogenous regulatory molecules, which act by targeting mRNAs for cleavage and/or translational repression. Continuing studies into BrCa genetics show that the various subtypes of BrCa are also affected by miRNA activity, which can even influence drug response. This prompted our investigation into the nuances of how miRNAs may influence BrCa behavior and response to treatment with targeted therapies, focusing on the proto-oncogene Polo-like Kinase 1 (PLK1). PLK1 plays an important role in the cell cycle, and is considered to be a proto-oncogene. Inhibiting PLK1 in has shown promise in reducing tumor volume and promoting tumor cell death in various cancers. A member of the miRNA-183 cluster, miRNA-183-5p, was found to bind to the 3’ UTR of PLK1, with transiently-induced overexpression resulting in reduced expression levels of the active PLK1 protein. We also discovered that the miRNA-regulated reduction of PLK1 influenced the expression of other proteins in the PLK1 pathway, and affected cancer cell response to a PLK1-specific inhibitor, NMS-P937. -
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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 -
Mitotic MELK-Eif4b Signaling Controls Protein Synthesis and Tumor Cell Survival
Mitotic MELK-eIF4B signaling controls protein synthesis and tumor cell survival Yubao Wanga,b, Michael Begleyc,d, Qing Lia,b, Hai-Tsang Huanga,b, Ana Lakoa,b, Michael J. Ecka,b, Nathanael S. Graya,b, Timothy J. Mitchisond, Lewis C. Cantleyc,d,e,1, and Jean J. Zhaoa,b,1 aDepartment of Cancer Biology, Dana–Farber Cancer Institute, Boston, MA 02115; bDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115; cDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215; dDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115; and eMeyer Cancer Center, Department of Medicine, Weill Cornell Medical College, New York, NY 10065 Contributed by Lewis C. Cantley, July 7, 2016 (sent for review May 2, 2016; reviewed by Kun-Liang Guan and Sean J. Morrison) The protein kinase maternal and embryonic leucine zipper kinase complement the posttranslational inactivation of specific proteins (MELK) is critical for mitotic progression of cancer cells; however, (8). Nevertheless, protein synthesis still occurs during mitosis, al- its mechanisms of action remain largely unknown. By combined though at an overall rate that is 30–65% of the overall rate in in- approaches of immunoprecipitation/mass spectrometry and pep- terphase cells (6, 8, 9). Moreover, the translation of certain mRNAs, tide library profiling, we identified the eukaryotic translation such as c-Myc, MCL1, and ornithine decarboxylase (ODC), is even initiation factor 4B (eIF4B) as a MELK-interacting protein during elevated during mitosis (8, 9). Together, these studies suggest mitosis and a bona fide substrate of MELK. MELK phosphorylates that protein synthesis may be functionally important for mi- eIF4B at Ser406, a modification found to be most robust in the totic cells and might be finely regulated by as yet unidentified mitotic phase of the cell cycle. -
Genome-Wide Identification and Evolutionary Analysis of Sarcocystis Neurona Protein Kinases
Article Genome-Wide Identification and Evolutionary Analysis of Sarcocystis neurona Protein Kinases Edwin K. Murungi 1,* and Henry M. Kariithi 2 1 Department of Biochemistry and Molecular Biology, Egerton University, P.O. Box 536, 20115 Njoro, Kenya 2 Biotechnology Research Institute, Kenya Agricultural and Livestock Research Organization, P.O. Box 57811, Kaptagat Rd, Loresho, 00200 Nairobi, Kenya; [email protected] * Correspondence: [email protected]; Tel: +254-789-716-059 Academic Editor: Anthony Underwood Received: 6 January 2017; Accepted: 17 March 2017; Published: 21 March 2017 Abstract: The apicomplexan parasite Sarcocystis neurona causes equine protozoal myeloencephalitis (EPM), a degenerative neurological disease of horses. Due to its host range expansion, S. neurona is an emerging threat that requires close monitoring. In apicomplexans, protein kinases (PKs) have been implicated in a myriad of critical functions, such as host cell invasion, cell cycle progression and host immune response evasion. Here, we used various bioinformatics methods to define the kinome of S. neurona and phylogenetic relatedness of its PKs to other apicomplexans. We identified 97 putative PKs clustering within the various eukaryotic kinase groups. Although containing the universally-conserved PKA (AGC group), S. neurona kinome was devoid of PKB and PKC. Moreover, the kinome contains the six-conserved apicomplexan CDPKs (CAMK group). Several OPK atypical kinases, including ROPKs 19A, 27, 30, 33, 35 and 37 were identified. Notably, S. neurona is devoid of the virulence-associated ROPKs 5, 6, 18 and 38, as well as the Alpha and RIO kinases. Two out of the three S. neurona CK1 enzymes had high sequence similarities to Toxoplasma gondii TgCK1-α and TgCK1-β and the Plasmodium PfCK1. -
BRAFV600E-Mutant Cancers Display a Variety of Networks by SWIM Analysis: Prediction of Vemurafenib Clinical Response
Endocrine (2019) 64:406–413 https://doi.org/10.1007/s12020-019-01890-4 ORIGINAL ARTICLE BRAFV600E-mutant cancers display a variety of networks by SWIM analysis: prediction of vemurafenib clinical response 1 2,3 2,3 1 1 Rosa Falcone ● Federica Conte ● Giulia Fiscon ● Valeria Pecce ● Marialuisa Sponziello ● 1 4 1 2 1 Cosimo Durante ● Lorenzo Farina ● Sebastiano Filetti ● Paola Paci ● Antonella Verrienti Received: 30 January 2019 / Accepted: 1 March 2019 / Published online: 8 March 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Purpose Several studies have shown that different tumour types sharing a driver gene mutation do not respond uniformly to the same targeted agent. Our aim was to use an unbiased network-based approach to investigate this fundamental issue using BRAFV600E mutant tumours and the BRAF inhibitor vemurafenib. Methods We applied SWIM, a software able to identify putative regulatory (switch) genes involved in drastic changes to the cell phenotype, to gene expression profiles of different BRAFV600E mutant cancers and their normal counterparts in order to identify the switch genes that could potentially explain the heterogeneity of these tumours’ responses to vemurafenib. fi 1234567890();,: 1234567890();,: Results We identi ed lung adenocarcinoma as the tumour with the highest number of switch genes (298) compared to its normal counterpart. By looking for switch genes encoding for kinases with homology sequences similar to known vemurafenib targets, we found that thyroid cancer and lung adenocarcinoma have a similar number of putative targetable switch gene kinases (5 and 6, respectively) whereas colorectal cancer has just one. Conclusions We are persuaded that our network analysis may aid in the comprehension of molecular mechanisms under- lying the different responses to vemurafenib in BRAFV600E mutant tumours. -
The Role of the P90 Ribosomal S6 Kinase Family in Prostate Cancer Progression and Therapy Resistance
Oncogene (2021) 40:3775–3785 https://doi.org/10.1038/s41388-021-01810-9 REVIEW ARTICLE The role of the p90 ribosomal S6 kinase family in prostate cancer progression and therapy resistance 1 1 1 Ryan Cronin ● Greg N. Brooke ● Filippo Prischi Received: 27 November 2020 / Revised: 8 April 2021 / Accepted: 20 April 2021 / Published online: 10 May 2021 © The Author(s) 2021. This article is published with open access Abstract Prostate cancer (PCa) is the second most commonly occurring cancer in men, with over a million new cases every year worldwide. Tumor growth and disease progression is mainly dependent on the Androgen Receptor (AR), a ligand dependent transcription factor. Standard PCa therapeutic treatments include androgen-deprivation therapy and AR signaling inhibitors. Despite being successful in controlling the disease in the majority of men, the high frequency of disease progression to aggressive and therapy resistant stages (termed castrate resistant prostate cancer) has led to the search for new therapeutic targets. The p90 ribosomal S6 kinase (RSK1-4) family is a group of highly conserved Ser/Thr kinases that holds promise as a novel target. RSKs are effector kinases that lay downstream of the Ras/Raf/MEK/ERK signaling pathway, and aberrant 1234567890();,: 1234567890();,: activation or expression of RSKs has been reported in several malignancies, including PCa. Despite their structural similarities, RSK isoforms have been shown to perform nonredundant functions and target a wide range of substrates involved in regulation of transcription and translation. In this article we review the roles of the RSKs in proliferation and motility, cell cycle control and therapy resistance in PCa, highlighting the possible interplay between RSKs and AR in mediating disease progression. -
Distribution of Applied AC EF Strength in a 6−Well Plate During Htcepi Cell Stimulation
Supplementary information Supplementary Figure S1: Distribution of applied AC EF strength in a 6−well plate during hTCEpi cell stimulation. (electric potential: 200 mV; frequency: 20 Hz; wave form). Simulated by finite element method and the color−coding of the scale bar defines the range of values. Supplementary Figure S2: Analysis of the gene and protein array data. (A) represents principal component analysis of the RMA normalized microarray data. (B) represents hierarchical clustering of the protein extracts based on differentially expressed proteins. Supplementary Figure S3: Analysis of the gene array data. (A) represents the clustering heat map of the calibrated samples. (B) represents Volcano plot of the differentially expressed genes. X−axis shows the measured fold changes in the expression whereas the y−axis shows the significance of the change in terms of negative log (base 10) of the p−value. The threshold used to select the differentially expressed genes is 2 for expression change and 0.05 for significance. Supplementary Table S1 Gene array data: upregulated during AC EF stimulation downregulated during AC EF stimulation Gene Symbol Fold Change Gene Symbol Fold Change MMP1 48.87 SAMM50 −2 STC1 47.51 PGAP1 −2 PAPL 45.43 PRODH −2 HBEGF 34.58 CEP97 −2 IL1B 33.7 EML1 −2 TM4SF19 27.27 IRX2 −2 TRIB3 22.69 FETUB −2.01 MMP10 20.93 METAP1D −2.01 TM4SF19−TCTEX1D2 20.69 ZMYM3 −2.01 PTGS2 20.3 TGFBR3 −2.01 SLC2A3 19.33 ZMAT3 −2.01 IL1RL1 19.2 FAM111A −2.01 RAC2 14.32 LRRC1 −2.01 PLAUR 13.05 OR5P3 −2.01 BMP6 12.01 EFNA5 −2.01 ID1 11.59 NCAPG