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Activation of Autophagy, Observed in Liver Tissues From Patients With Wilson Disease and From ATP7B-Deficient Animals, Protects Hepatocytes From Copper-Induced Apoptosis

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TLDR
ATP7B-deficient hepatocytes, such as in those in patients with WD, activate autophagy in response to copper overload to prevent copper-induced apoptosis, and agents designed to activate this autophagic pathway might decrease copper toxicity in Patients with WD.
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This article is published in Gastroenterology.The article was published on 2019-03-01 and is currently open access. It has received 124 citations till now. The article focuses on the topics: Copper toxicity & Autophagy.

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Autophagy in major human diseases

Daniel J. Klionsky, +71 more
- 01 Oct 2021 - 
TL;DR: In this paper, preclinical data linking autophagy dysfunction to the pathogenesis of major human disorders including cancer as well as cardiovascular, neurodegenerative, metabolic, pulmonary, renal, infectious, musculoskeletal, and ocular disorders.
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Autophagy in liver diseases: Time for translation?

TL;DR: An update is provided on the regulatory role of autophagy in various aspects of liver pathophysiology, describing the different strategies to manipulate autophagic flux in vivo and discussing the potential to modulate Autophagy as a therapeutic strategy in the context of liver diseases.
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Autophagy in hepatic adaptation to stress

TL;DR: The importance of functional Autophagy for hepatic physiology, as well as the mechanisms whereby defects in autophagy cause liver disease are critically discussed.
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The Multifaceted Roles of Copper in Cancer: A Trace Metal Element with Dysregulated Metabolism, but Also a Target or a Bullet for Therapy.

TL;DR: This review describes normal and cancer-altered copper homeostasis mechanisms and exposes not only copper-related diagnostic and prognostic markers for oncology but also therapeutic strategies to act on copperHomeostasis to fight against cancer.
References
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Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
Journal ArticleDOI

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
Journal ArticleDOI

HTSeq—a Python framework to work with high-throughput sequencing data

TL;DR: This work presents HTSeq, a Python library to facilitate the rapid development of custom scripts for high-throughput sequencing data analysis, and presents htseq-count, a tool developed with HTSequ that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes.
Journal ArticleDOI

DAVID: Database for Annotation, Visualization, and Integrated Discovery

TL;DR: DAMID is a web-accessible program that integrates functional genomic annotations with intuitive graphical summaries that assists in the interpretation of genome-scale datasets by facilitating the transition from data collection to biological meaning.
Journal ArticleDOI

Autophagy in the Pathogenesis of Disease

TL;DR: This Review summarizes recent advances in understanding the physiological functions of autophagy and its possible roles in the causation and prevention of human diseases.
Related Papers (5)
Frequently Asked Questions (5)
Q1. What are the contributions mentioned in the paper "Activation of autophagy, observed in liver tissues from patients with wilson disease and from atp7b-deficient animals, protects hepatocytes from copper-induced apoptosis" ?

In this paper, Polishchuk, Assunta Merolla, Josef Lichtmannegger, Alessia Romano, Mafalda Concilli, Rossella De Cegli, Roberta Crispino, Marta Mariniello, Raffaella Petruzzelli, Giusy Ranucci, Raffe Iorio, Federico Pietrocola, Claudia Einer, Sabine Borchard, Andree Zibert, Hartmut H. Schmidt, Elia Di Schiavi, Ludmila V. Puchk 

GO:0050658~RNA transport 39 SRSF1, NXT1, SRSF11, EIF5A, NUP188, NXT2, NDC1, HNRNPA3, CDC40, U2AF1, QKI, MRPL18, TNKS, NUP35, KHDRBS1, PABPN1, RPSA, NUP133, NUP153, RAN, NUP88, MAGOH, HNRNPA2B1, NUP85, RNPS1, SRSF2, EIF4A3, SRSF5, EIF4E, UPF3B, SRSF7, POLDIP3, SRSF9, EIF5AL1, RBMX2, KHSRP, NUTF2, NUP107, NUP430.09441085 GOTERM_BP_FAT 

GO:0060341~regulation of cellular localization 130 CHERP, CHMP3, IL18, PTPN23, SAE1, CCT2, FLCN, ERLEC1, CTNNB1, BAK1, MFF, GAB2, STARD7, GBF1, INSIG1, RALB, U2AF1, PRKACA, CDCA5, RAB21, EGFR, MCRS1, RINT1, PIM3, LYPLA1, GCC2, JUP, HES1, NPTN, VAMP3, GBP1, STX8, STX7, NFKBIA, KEAP1, NAPA, NAPB, SNX3, ZMYND8, ITGB1, UBAC2, UHMK1, SRC, PIN1, PSMB7, UBE2D3, PFN2, TOMM7, EMD, TFDP1, MAP2K1, MAP2K2, SYT11, ITGA3, UBE2L3, RNF103-CHMP3, EPHA2, CCT7, P2RX5, LAMP1, HDAC3, CDKN1A, CCT5, CCT4, BBC3, CCT8, NUTF2, RAP1B, PDCD5, ABL1, CREBRF, JPH2, LEPROTL1, PINK1, CLTC, PRDX1, NDUFAF2, CDC42, TRIM8, TMEM59, CASP8, RHOA, YOD1, VPS11, RHOG, AKT2, KHDRBS1, STX1A, STX4, STX3, ZDHHC8, ECT2, LDLRAP1, RAB11FIP5, CAPN10, DACT3, RAB5A, RANGRF, SNX12, LCP1, MED1, BID, PARD3, YWHAZ, PPP3R1, RDX, FKBP1A, ZBTB17, CALCA, MTMR2, PPP1R12A, BCL3, NEFH, FBXW11, RBM22, GDI1, NUP153, LMNA, SIRT1, YWHAE, RPL28, UBL5, SCFD1, RASSF5, GSK3A, GSK3B, BNIP3L, YWHAQ, JAK2, OGG10.13952667 GOTERM_BP_FAT 

GO:0045184~establishment of protein localization 156 RPL18, SRP14, RPL36A, CHMP5, IL18, RPL15, CHMP7, EIF5A, RAB1B, SAE1, ANKRD1, PMAIP1, SRP19, RAB1A, STARD7, RAE1, RPLP0, U2AF1, RPL10, MCOLN1, RPL11, RPS27A, GPR89A, AP5Z1, RPL35A, RAN, GOLT1B, C16ORF62, PIM3, LYPLA1, CD40, DDIT3, JUP, RBPMS, CCR7, KRT18, SEC61B, RPS16, RAB18, JUN, RPS15, RPS12, RPS13, SLU7, RPS10, PAEP, VPS26A, SEC61G, ZFAND6, SYVN1, MTX3, NFKBIA, ATP6V1B2, UBAC2, LLGL1, UBE2D3, PSMB7, TOMM7, RPS29, RPL7, RPL9, RPL10A, TRAF6, RPS21, EMD, RPS23, TFDP1, RPS24, FAM160A2, HERPUD1, IL1RL1, SYT11, SNAPIN, ITGA3, CD63, RNF103-CHMP3, ABCG1, RPS8, RPS7, CCT7, HDAC3, CCT4, RPL18A, CD58, CCT8, ARF4, NUTF2, RPL37A, MAFA, PDCD5, ATG16L2, ATP6V0E1, AP3S1, PIP5K1A, VGF, LRRC15, PRDX1, WBP2, AKR1C3, HSPH1, GOLGA7, TMEM59, IL4R, KLHL20, PSMD9, ZW10, STX1A, HSP90AA1, UFD1L, SLC25A5, ZDHHC8, MCU, ATP6V1H, ATP6V1D, NLRP1, TNFRSF9, RAB11FIP5, DACT3, ATG4A, EIF5AL1, KPNA7, RANGRF, SRP9, LCP1, CSF3, NXT1, TNFRSF21, RAB3B, SNX16, PPP3R1, TRIM16, ATP6V1G1, SFN, ZBTB17, NXT2, SFT2D1, POU2F2, HINFP, ZC3H12A, SEC22B, IN0.00258682 GOTERM_BP_FAT 

GO:0032880~regulation of protein localization 134 CHERP, IL18, SAE1, CCT2, FLCN, ERLEC1, CTNNB1, MFF, PICALM, STARD7, GBF1, RALB, U2AF1, PRKACA, SLC8B1, CDCA5, DNAJC1, EGFR, MCRS1, PIM3, LYPLA1, CD40, GCC2, JUP, HES1, RSL1D1, CCR7, NPTN, VAMP3, GBP1, HMGB1, STX8, STX7, NFKBIA, KEAP1, SNX3, ENSA, ZMYND8, ITGB1, UBAC2, UHMK1, SRC, PIN1, UBE2D3, PSMB7, TOMM7, TRAF6, EMD, ARHGDIA, TFDP1, RHBDF2, SYT11, CD276, NDFIP2, ITGA3, UBE2L3, EPHA2, CCT7, HDAC3, CDKN1A, CCT5, CCT4, HDAC1, BBC3, CD58, CCT8, NUTF2, DNAJB2, PDCD5, ABL1, CREBRF, SEC24A, LEPROTL1, PINK1, DPH3, CLTC, PRDX1, NDUFAF2, CDC42, TRIM8, TMEM59, CASP8, RHOA, YOD1, VPS11, RHOG, AKT2, PSMD9, STX1A, STX4, STX3, SLC25A5, ZDHHC8, MCU, ECT2, LDLRAP1, NLRP1, RAB11FIP5, CAPN10, DACT3, RANGRF, WASL, SNX12, PRNP, LCP1, MED1, BID, TNFRSF21, YWHAZ, PPP3R1, TRIM16, RDX, FKBP1A, ZBTB17, SUMO1, RAB11A, BCL3, FBXW11, RBM22, GDI1, TMBIM6, LMNA, SIRT1, YWHAE, RPL28, UBL5, SCFD1, RASSF5, GSK3A, GSK3B, BNIP3L, YWHAQ, JAK2, OGG19.90400607Annotation Cluster 44 Enrichment Score: 1.8701059089873502 Category Term Count Genes FDR GOTERM_BP_FAT