Systematic Proteomic Analysis of LRRK2-Mediated Rab Gtpase Phosphorylation Establishes a Connection to Ciliogenesis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
(UPCR) Levels in Diabetic Nephropathy Patients
Journal of Personalized Medicine Article Gender Differences in Genetic Associations of RAB38 with Urinary Protein-to-Creatinine Ratio (UPCR) Levels in Diabetic Nephropathy Patients 1, 2,3,4, 1 1 Zhi-Lei Yu y, Chung-Shun Wong y , Yi Ting Lai , Wan-Hsuan Chou , Imaniar Noor Faridah 1,5, Chih-Chin Kao 6,7 , Yuh-Feng Lin 2,7,8,* and Wei-Chiao Chang 1,9,10,11,* 1 Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei 110301, Taiwan; [email protected] (Z.-L.Y.); [email protected] (Y.T.L.); [email protected] (W.-H.C.); [email protected] (I.N.F.) 2 Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan; [email protected] 3 Department of Emergency Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City 235041, Taiwan 4 Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan 5 Faculty of Pharmacy, Ahmad Dahlan University, Yogyakarta 55164, Indonesia 6 Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 110301, Taiwan; [email protected] 7 Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan 8 Division of Nephrology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan 9 Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 110301, Taiwan 10 Integrative Research Center for Critical Care, Wan Fang Hospital, Taipei Medical University, Taipei 110301, Taiwan 11 Department of Medical Research, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan * Correspondence: [email protected] (Y.-F.L.); [email protected] (W.-C.C.) Z.-L.Y. -
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Chemical Composition and Pharmacological Mechanism of Ephedra- Glycyrrhiza Drug Pair Against Coronavirus Disease 2019 (COVID-19)
www.aging-us.com AGING 2021, Vol. 13, No. 4 Research Paper Chemical composition and pharmacological mechanism of ephedra- glycyrrhiza drug pair against coronavirus disease 2019 (COVID-19) Xiaoling Li1,*, Qin Qiu2,*, Mingyue Li3,*, Haowen Lin4, Shilin Cao5,6, Qu Wang4, Zishi Chen5, Wenhao Jiang5, Wen Zhang7, Yuge Huang8, Hui Luo9, Lianxiang Luo9,10 1Animal Experiment Center of Guangdong Medical University, Zhanjiang 524023, Guangdong, China 2Graduate School of Guangdong Medical University, Zhanjiang 524023, Guangdong, China 3Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 4The First Clinical College of Guangdong Medical University, Zhanjiang 524023, Guangdong, China 5Group of Sustainable Biochemical Engineering, School of Food Science and Engineering, Foshan University, Foshan 528000, Guangdong, China 6Sustainable Biochemical and Biosynthetic Engineering Center, Foshan Wu-Yuan Biotechnology Co., Ltd., Guangdong Biomedical Industrial Base, Foshan 528000, Guangdong, China 7Aditegen LLC, Jersey, NJ 07310, USA 8Department of Pediatrics, the Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, Guangdong, China 9The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, Guangdong, China 10Marine Medical Research Institute of Zhanjiang, Zhanjiang 524023, Guangdong, China *Equal contribution Correspondence to: Lianxiang Luo; email: [email protected] Keywords: COVID-19, ephedra, glycyrrhiza, network pharmacology, molecular docking Received: August 26, 2020 Accepted: November 30, 2020 Published: February 13, 2021 Copyright: © 2021 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Traditional Chinese medicine (TCM) had demonstrated effectiveness in the prevention and control of COVID-19. -
Molecular Genetic Delineation of 2Q37.3 Deletion in Autism and Osteodystrophy: Report of a Case and of New Markers for Deletion Screening by PCR
UC Irvine UC Irvine Previously Published Works Title Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR. Permalink https://escholarship.org/uc/item/83f0x61r Journal Cytogenetics and cell genetics, 94(1-2) ISSN 0301-0171 Authors Smith, M Escamilla, JR Filipek, P et al. Publication Date 2001 DOI 10.1159/000048775 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Original Article Cytogenet Cell Genet 94:15–22 (2001) Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR M. Smith, J.R. Escamilla, P. Filipek, M.E. Bocian, C. Modahl, P. Flodman, and M.A. Spence Department of Pediatrics, University of California, Irvine CA (USA) Abstract. We recently studied a patient who meets criteria us to determine the parental origin of the deletion in our for autistic disorder and has a 2q37 deletion. Molecular cyto- patient. DNA from 8–13 unrelated individuals was used to genetic studies were carried out using DNA isolated from 22 determine heterozygosity estimates for these markers. We re- different 2q37 mapped BACs to more precisely define the view four genes deleted in our patient – genes whose known extent of the chromosome deletion. We also analyzed 2q37 functions and sites of expression in the brain and/or bone make mapped polymorphic markers. In addition DNA sequences of them candidates for involvement in autism and/or the osteo- BACs in the deletion region were scanned to identify microsa- dystrophy observed in patients with 2q37.3 deletions. -
LRRK2 at the Crossroad of Aging and Parkinson's Disease
G C A T T A C G G C A T genes Review LRRK2 at the Crossroad of Aging and Parkinson’s Disease Eun-Mi Hur 1 and Byoung Dae Lee 2,3,* 1 Department of Neuroscience, College of Veterinary Medicine, Research Institute for Veterinary Science and BK21 Four Future Veterinary Medicine Leading Education & Research Center, Seoul National University, Seoul 08826, Korea; [email protected] 2 Department of Physiology, Kyung Hee University School of Medicine, Seoul 02447, Korea 3 Department of Neuroscience, Kyung Hee University, Seoul 02447, Korea * Correspondence: [email protected]; Tel.: +82-2-961-9381 Abstract: Parkinson’s disease (PD) is a heterogeneous neurodegenerative disease characterized by the progressive loss of dopaminergic neurons in the substantia nigra pars compacta and the widespread occurrence of proteinaceous inclusions known as Lewy bodies and Lewy neurites. The etiology of PD is still far from clear, but aging has been considered as the highest risk factor influencing the clinical presentations and the progression of PD. Accumulating evidence suggests that aging and PD induce common changes in multiple cellular functions, including redox imbalance, mitochondria dysfunction, and impaired proteostasis. Age-dependent deteriorations in cellular dysfunction may predispose individuals to PD, and cellular damages caused by genetic and/or environmental risk factors of PD may be exaggerated by aging. Mutations in the LRRK2 gene cause late-onset, autosomal dominant PD and comprise the most common genetic causes of both familial and sporadic PD. LRRK2-linked PD patients show clinical and pathological features indistinguishable from idiopathic PD patients. Here, we review cellular dysfunctions shared by aging and PD-associated LRRK2 mutations and discuss how the interplay between the two might play a role in PD pathologies. -
Differential Expression Profiling of Gene Response to Ionizing Radiation in Two Endometrial Cancer Cell Lines with Distinct Radiosensitivities
625-634 28/1/2009 12:32 ÌÌ ™ÂÏ›‰·625 ONCOLOGY REPORTS 21: 625-634, 2009 625 Differential expression profiling of gene response to ionizing radiation in two endometrial cancer cell lines with distinct radiosensitivities XUE-LIAN DU1,2, TAO JIANG2, ZE-QING WEN1, QING-SHUI LI2, RONG GAO2 and FEI WANG1 1Department of Gynecologic Oncology, Shandong Tumor Hospital, Shandong University, Jinan 250117; 2Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan 250021, P.R. China Received November 4, 2008; Accepted December 17, 2008 DOI: 10.3892/or_00000265 Abstracts. Although radiotherapy is routinely administered Introduction to high-risk endometrial carcinoma and offer a significant disease-free survival advantage, the therapeutic effect is Endometrial cancer is one of the most common gynecological sometimes limited by the occurrence of radioresistance. To malignancies worldwide. Surgery is the preferred initial determine the patterns of gene expression responsible for treatment and most women with early-stage, low-risk disease the radioresistance and to search for potential target genes for will do well without adjuvant radiotherapy. However, both radiotherapy, we selected two cell lines with distinct radio- intermediate-risk and high-risk patients are at risk for local- sensitivities using colony-formation assay from four endo- regional relapse and therefore adjuvant radiotherapy, such as metrial cancer cell lines. The cell cycle distribution showed pelvic radiation, vaginal brachytherapy, and whole-abdomen higher fractions of G2/M phase cells in the radiosensitive cell radiation, is essential for local control (1). Johnson and line KLE after radiation compared with the radioresistant cell colleagues reported that adjuvant external-beam pelvic radio- line ISK. -
Human Placenta Exosomes: Biogenesis, Isolation, Composition, and Prospects for Use in Diagnostics
International Journal of Molecular Sciences Review Human Placenta Exosomes: Biogenesis, Isolation, Composition, and Prospects for Use in Diagnostics Evgeniya E. Burkova 1,* , Sergey E. Sedykh 1,2 and Georgy A. Nevinsky 1,2 1 SB RAS Institute of Chemical Biology and Fundamental Medicine, 630090 Novosibirsk, Russia; [email protected] (S.E.S.); [email protected] (G.A.N.) 2 Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia * Correspondence: [email protected]; Tel.: +7-(383)-363-51-27 Abstract: Exosomes are 40–100 nm nanovesicles participating in intercellular communication and transferring various bioactive proteins, mRNAs, miRNAs, and lipids. During pregnancy, the placenta releases exosomes into the maternal circulation. Placental exosomes are detected in the maternal blood even in the first trimester of pregnancy and their numbers increase significantly by the end of pregnancy. Exosomes are necessary for the normal functioning of the placenta and fetal development. Effects of exosomes on target cells depend not only on their concentration but also on their intrinsic components. The biochemical composition of the placental exosomes may cause various complications of pregnancy. Some studies relate the changes in the composition of nanovesicles to placental dysfunction. Isolation of placental exosomes from the blood of pregnant women and the study of protein, lipid, and nucleic composition can lead to the development of methods for early diagnosis of pregnancy pathologies. This review describes the biogenesis of exosomes, methods Citation: Burkova, E.E.; Sedykh, S.E.; of their isolation, analyzes their biochemical composition, and considers the prospects for using Nevinsky, G.A. Human Placenta exosomes to diagnose pregnancy pathologies. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
A Network of Bhlhzip Transcription Factors in Melanoma: Interactions of MITF, TFEB and TFE3
A network of bHLHZip transcription factors in melanoma: Interactions of MITF, TFEB and TFE3 Josué A. Ballesteros Álvarez Thesis for the degree of Philosophiae Doctor January 2019 Net bHLHZip umritunarþátta í sortuæxlum: Samstarf milli MITF, TFEB og TFE3 Josué A. Ballesteros Álvarez Ritgerð til doktorsgráðu Leiðbeinandi/leiðbeinendur: Eiríkur Steingrímsson Doktorsnefnd: Margrét H. Ögmundsdóttir Þórarinn Guðjónsson Jórunn E. Eyfjörð Lars Rönnstrand Janúar 2019 Thesis for a doctoral degree at tHe University of Iceland. All rigHts reserved. No Part of tHis Publication may be reProduced in any form witHout tHe Prior permission of the copyright holder. © Josue A. Ballesteros Álvarez. 2019 ISBN 978-9935-9421-4-2 Printing by HáskólaPrent Reykjavik, Iceland 2019 Ágrip StjórnPróteinin MITF , TFEB, TFE3 og TFEC (stundum nefnd MiT-TFE þættirnir) tilheyra bHLHZip fjölskyldu umritunarþátta sem bindast DNA og stjórna tjáningu gena. MITF er mikilvægt fyrir myndun og starfsemi litfruma en ættingjar þess, TFEB og TFE3, stjórna myndun og starfsemi lysósóma og sjálfsáti. Sjálfsát er líffræðilegt ferli sem gegnir mikilvægu hlutverki í starfsemi fruma en getur einnig haft áHrif á myndun og meðHöndlun sjúkdóma. Í verkefni þessu var samstarf MITF, TFE3 og TFEB Próteinanna skoðað í sortuæxlisfrumum og hvaða áhrif þau Hafa á tjáningu hvers annars. Eins og MITF eru TFEB og TFE3 genin tjáð í sortuæxlisfrumum og sortuæxlum; TFEC er ekki tjáð í þessum frumum og var því ekki skoðað í þessu verkefni. Með notkun sérvirkra hindra var sýnt að boðleiðir hafa áhrif á staðsetningu próteinanna þriggja í sortuæxlisfrumum. Umritunarþættir þessir geta bundist skyldum DNA-bindisetum og haft áhrif á tjáningu gena sem eru nauðsynleg fyrir myndun bæði lýsósóma og melanósóma. -
A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules Natasha L
www.nature.com/scientificreports OPEN A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules Natasha L. Patel-Murray1, Miriam Adam2, Nhan Huynh2, Brook T. Wassie2, Pamela Milani2 & Ernest Fraenkel 2,3* High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials. We developed an approach for uncovering MoAs through an interpretable machine learning model of transcriptomics, epigenomics, metabolomics, and proteomics. Examining compounds with benefcial efects in models of Huntington’s Disease, we found common MoAs for compounds with unrelated structures, connectivity scores, and binding targets. The approach also predicted highly divergent MoAs for two FDA-approved antihistamines. We experimentally validated these efects, demonstrating that one antihistamine activates autophagy, while the other targets bioenergetics. The use of multiple omics was essential, as some MoAs were virtually undetectable in specifc assays. Our approach does not require reference compounds or large databases of experimental data in related systems and thus can be applied to the study of agents with uncharacterized MoAs and to rare or understudied diseases. Unknown modes of action of drug candidates can lead to unpredicted consequences on efectiveness and safety. Computational methods, such as the analysis of gene signatures, and high-throughput experimental methods have accelerated the discovery of lead compounds that afect a specifc target or phenotype1–3. However, these advances have not dramatically changed the rate of drug approvals. Between 2000 and 2015, 86% of drug can- didates failed to earn FDA approval, with toxicity or a lack of efcacy being common reasons for their clinical trial termination4,5. -
Supporting Information
Supporting Information Edgar et al. 10.1073/pnas.1601895113 SI Methods (Actimetrics), and recordings were analyzed using LumiCycle Mice. Sample size was determined using the resource equation: Data Analysis software (Actimetrics). E (degrees of freedom in ANOVA) = (total number of exper- – Cell Cycle Analysis of Confluent Cell Monolayers. NIH 3T3, primary imental animals) (number of experimental groups), with −/− sample size adhering to the condition 10 < E < 20. For com- WT, and Bmal1 fibroblasts were sequentially transduced − − parison of MuHV-4 and HSV-1 infection in WT vs. Bmal1 / with lentiviral fluorescent ubiquitin-based cell cycle indicators mice at ZT7 (Fig. 2), the investigator did not know the genotype (FUCCI) mCherry::Cdt1 and amCyan::Geminin reporters (32). of the animals when conducting infections, bioluminescence Dual reporter-positive cells were selected by FACS (Influx Cell imaging, and quantification. For bioluminescence imaging, Sorter; BD Biosciences) and seeded onto 35-mm dishes for mice were injected intraperitoneally with endotoxin-free lucif- subsequent analysis. To confirm that expression of mCherry:: Cdt1 and amCyan::Geminin correspond to G1 (2n DNA con- erin (Promega E6552) using 2 mg total per mouse. Following < ≤ anesthesia with isofluorane, they were scanned with an IVIS tent) and S/G2 (2 n 4 DNA content) cell cycle phases, Lumina (Caliper Life Sciences), 15 min after luciferin admin- respectively, cells were stained with DNA dye DRAQ5 (abcam) and analyzed by flow cytometry (LSR-Fortessa; BD Biosci- istration. Signal intensity was quantified using Living Image ences). To examine dynamics of replicative activity under ex- software (Caliper Life Sciences), obtaining maximum radiance perimental confluent conditions, synchronized FUCCI reporter for designated regions of interest (photons per second per − − − monolayers were observed by time-lapse live cell imaging over square centimeter per Steradian: photons·s 1·cm 2·sr 1), relative 3 d (Nikon Eclipse Ti-E inverted epifluorescent microscope).