Structure-Function and Substrate-Specificity Studies Of
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Supplementary Data
Supplementary Data for Quantitative Changes in the Mitochondrial Proteome from Subjects with Mild Cognitive Impairment, Early Stage and Late Stage Alzheimer’s disease Table 1 - 112 unique, non-redundant proteins identified and quantified in at least two of the three analytical replicates for all three disease stages. Table 2 - MCI mitochondrial samples, Protein Summary Table 3 - MCI mitochondrial samples, Experiment 1 Table 4 - MCI mitochondrial samples, Experiment 2 Table 5 - MCI mitochondrial samples, Experiment 3 Table 6 - EAD Mitochondrial Study, Protein Summary Table 7 - EAD Mitochondrial Study, Experiment 1 Table 8 - EAD Mitochondrial Study, Experiment 2 Table 9 - EAD Mitochondrial Study, Experiment 3 Table 10 - LAD Mitochondrial Study, Protein Summary Table 11 - LAD Mitochondrial Study, Experiment 1 Table 12 - LAD Mitochondrial Study, Experiment 2 Table 13 - LAD Mitochondrial Study, Experiment 3 Supplemental Table 1. 112 unique, non-redundant proteins identified and quantified in at least two of the three analytical replicates for all three disease stages. Description Data MCI EAD LAD AATM_HUMAN (P00505) Aspartate aminotransferase, mitochondrial precursor (EC Mean 1.43 1.70 1.31 2.6.1.1) (Transaminase A) (Glutamate oxaloacetate transaminase 2) [MASS=47475] SEM 0.07 0.09 0.09 Count 3.00 3.00 3.00 ACON_HUMAN (Q99798) Aconitate hydratase, mitochondrial precursor (EC 4.2.1.3) Mean 1.24 1.61 1.19 (Citrate hydro-lyase) (Aconitase) [MASS=85425] SEM 0.05 0.17 0.18 Count 3.00 2.00 3.00 ACPM_HUMAN (O14561) Acyl carrier protein, mitochondrial -
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. -
Peroxisomal Functions in the Lung and Their Role in the Pathogenesis of Lung Diseases
Aus dem Institut für Anatomie und Zellbiologie der Justus-Liebig-Universität Gießen Leiter: Prof. Dr. Eveline Baumgart-Vogt Peroxisomal functions in the lung and their role in the pathogenesis of lung diseases Habilitationsschrift zur Erlangung der Venia legendi des Fachbereichs Medizin der Justus-Liebig-Universität Gießen vorgelegt von Srikanth Karnati Gießen 2018 Die nachfolgende Arbeit nimmt Bezug auf folgende Originalarbeiten: 1. Karnati S*, Graulich T, Oruqaj G, Pfreimer S, Seimetz M, Stamme C, Mariani TJ, Weissmann N, Mühlfeld C, Baumgart-Vogt E (2016). Postnatal development of the secretory cells of the distal airways, the bronchiolar club cells in the mouse lung: stereological and molecular biological studies. Cell and Tissue Research. Jun;364(3):543- 57. 2. Karnati S, Baumgart-Vogt E (2009) PeroXisomes in airway epithelia and future prospects of these organelles for pulmonary cell biology. Histochem Cell Biol. Apr: 131(4):447-54. 3. Karnati S, Lüers G, Pfreimer S and Baumgart-Vogt E (2013) Manganese SuperoXide dismutase 2 (MnSOD) is localized to mitochondria but not in peroXisomes. Histochemistry and Cell Biology, Aug:140(2):105-17 4. Karnati S, Palaniswamy S, Alam MR, Oruqaj G, Stamme C, Baumgart-Vogt E (2015) C22- bronchial and T7-alveolar epithelial cell lines of the immortomouse are eXcellent murine cell culture model systems to study pulmonary peroXisome biology and metabolism. Histochemistry and Cell Biology Mar;145(3):287-304. 5. Oruqaj G§, Karnati S§, Vijayan V, Kotarkonda LK, Boateng E, Zhang W, Ruppert C, Günther A, Shi W, Baumgart-Vogt E (2015) Compromised peroXisomes in idiopathic pulmonary fibrosis, a vicious cycle inducing a higher fibrotic response via TGF-β signaling. -
Unintentional Genomic Changes Endow Cupriavidus Metallidurans with an Augmented Heavy-Metal Resistance
G C A T T A C G G C A T genes Article Unintentional Genomic Changes Endow Cupriavidus metallidurans with an Augmented Heavy-Metal Resistance Felipe A. Millacura 1, Paul J. Janssen 2, Pieter Monsieurs 2, Ann Janssen 2, Ann Provoost 2, Rob Van Houdt 2 and Luis A. Rojas 3,* 1 School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JQ, UK; [email protected] 2 Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK•CEN, 2400 Mol, Belgium; [email protected] (P.J.J.); [email protected] (P.M.); [email protected] (A.J); [email protected] (A.P.); [email protected] (R.V.H.) 3 Chemistry Department, Faculty of Sciences, Universidad Católica del Norte, UCN, Antofagasta 1240000, Chile * Correspondence: [email protected]; Tel.: +56-55-235-5629 Received: 6 October 2018; Accepted: 8 November 2018; Published: 13 November 2018 Abstract: For the past three decades, Cupriavidus metallidurans has been one of the major model organisms for bacterial tolerance to heavy metals. Its type strain CH34 contains at least 24 gene clusters distributed over four replicons, allowing for intricate and multilayered metal responses. To gain organic mercury resistance in CH34, broad-spectrum mer genes were introduced in a previous work via conjugation of the IncP-1β plasmid pTP6. However, we recently noted that this CH34-derived strain, MSR33, unexpectedly showed an increased resistance to other metals (i.e., Co2+, Ni2+, and Cd2+). To thoroughly investigate this phenomenon, we resequenced the entire genome of MSR33 and compared its DNA sequence and basal gene expression profile to those of its parental strain CH34. -
Supplement 1A Steffensen Et
Liver Wild-type Knockout C T C T 1 2 4 7 8 9 1 2 4 5 7 9 1 1 1 1 1 1 C C C T T T C C C T T T W W W W W W K K K K K K IMAGE:793166 RIKEN cDNA 6720463E02 gene IMAGE:1447421 ESTs, Weakly similar to ZF37 MOUSE ZINC FINGER PROTEIN 37 [M.musculus] IMAGE:934291 RIKEN cDNA 2810418N01 gene IMAGE:1247525 small EDRK-rich f2actor IMAGE:1449402 expressed sequence AW321064 IMAGE:1279847 ESTs IMAGE:518737 expressed sequence AW049941 IMAGE:860231 a disintegrin and metalloproteinase domain 17 IMAGE:642836 CD86 antigen IMAGE:1003885 phosphoribosyl pyrophosphate sy1nthetase IMAGE:524862 RIKEN cDNA 5730469D23 gene IMAGE:1264473 protein inhibitor of activat1ed STAT IMAGE:847035 RIKEN cDNA 4833422F06 gene IMAGE:374550 requiem IMAGE:976520 nuclear receptor coact4ivator IMAGE:1264311 Unknown IMAGE:976735 expressed sequence AI987692 IMAGE:976659 cathepsLin IMAGE:1477580 RIKEN cDNA 1600010J02 gene IMAGE:1277168 ribosomal protein, large, P1 IMAGE:524842 RIKEN cDNA 0710008D09 gene IMAGE:373019 split hand/foot delete1d gene IMAGE:404428 expressed sequence AI413851 IMAGE:619810 RIKEN cDNA 1700003F10 gene IMAGE:1749558 caspase 3, apoptosis related cysteine protease IMAGE:718718 RIKEN cDNA 2810003F23 gene IMAGE:819789 Unknown IMAGE:524474 ATP-binding cassette, sub-family A ABC1, member IMAGE:804950 Mus musculus, Similar to ribosomal protein S20, clone MGC:6876 IMAGE:2651405, mRNA, complete cds IMAGE:806143 gap junction membrane channel prot2ein beta IMAGE:1745887 expressed sequence AI836376 IMAGE:779426 RIKEN cDNA 5230400G24 gene IMAGE:1125615 Unknown IMAGE:535025 DNA -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Hereditary Hearing Impairment with Cutaneous Abnormalities
G C A T T A C G G C A T genes Review Hereditary Hearing Impairment with Cutaneous Abnormalities Tung-Lin Lee 1 , Pei-Hsuan Lin 2,3, Pei-Lung Chen 3,4,5,6 , Jin-Bon Hong 4,7,* and Chen-Chi Wu 2,3,5,8,* 1 Department of Medical Education, National Taiwan University Hospital, Taipei City 100, Taiwan; [email protected] 2 Department of Otolaryngology, National Taiwan University Hospital, Taipei 11556, Taiwan; [email protected] 3 Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei City 100, Taiwan; [email protected] 4 Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei City 100, Taiwan 5 Department of Medical Genetics, National Taiwan University Hospital, Taipei 10041, Taiwan 6 Department of Internal Medicine, National Taiwan University Hospital, Taipei 10041, Taiwan 7 Department of Dermatology, National Taiwan University Hospital, Taipei City 100, Taiwan 8 Department of Medical Research, National Taiwan University Biomedical Park Hospital, Hsinchu City 300, Taiwan * Correspondence: [email protected] (J.-B.H.); [email protected] (C.-C.W.) Abstract: Syndromic hereditary hearing impairment (HHI) is a clinically and etiologically diverse condition that has a profound influence on affected individuals and their families. As cutaneous findings are more apparent than hearing-related symptoms to clinicians and, more importantly, to caregivers of affected infants and young individuals, establishing a correlation map of skin manifestations and their underlying genetic causes is key to early identification and diagnosis of syndromic HHI. In this article, we performed a comprehensive PubMed database search on syndromic HHI with cutaneous abnormalities, and reviewed a total of 260 relevant publications. -
7. Literaturverzeichnis
Literatur 7. Literaturverzeichnis Aller,S.G.,Eng,E.T.,DeFeo,C.J.andUnger,V.M.(2004)EukaryoticCTRcopper uptaketransportersrequiretwofacesofthethirdtransmembranedomainforhelix packing,oligomerization,andfunction.JBiolChem,279,545-544. Alzheimer,A.(907)ÜbereineeigenartigeErkrankungderHirnrinde.Allgemeine ZeitschriftfürPsychiatrieundPsychisch-GerichtlicheMedizin,64,46-48. Anliker,B.andMuller,U.(2006)Thefunctionsofmammalianamyloidprecursorprotein andrelatedamyloidprecursor-likeproteins.NeurodegenerDis,,29-246. Annaert,W.andDeStrooper,B.(2002)AcellbiologicalperspectiveonAlzheimer‘s disease.AnnuRevCellDevBiol,8,25-5. Araki,W.,Saito,S.,Takahashi-Sasaki,N.,Shiraishi,H.,Komano,H.andMurayama,K.S. (2006)CharacterizationofAPH-mutantswithadisruptedtransmembraneGxxxG motif.JMolNeurosci,29,5-4. Arispe,N.,Rojas,E.andPollard,H.B.(99)Alzheimerdiseaseamyloidbetaprotein formscalciumchannelsinbilayermembranes:blockadebytromethamineand aluminum.ProcNatlAcadSciUSA,90,567-57. Arselin,G.,Giraud,M.F.,Dautant,A.,Vaillier,J.,Brethes,D.,Coulary-Salin,B.,Schaeffer, J.andVelours,J.(200)TheGxxxGmotifofthetransmembranedomainof subuniteisinvolvedinthedimerization/oligomerizationoftheyeastATPsynthase complexinthemitochondrialmembrane.EurJBiochem,270,875-884. Bayer,T.A.,Schafer,S.,Simons,A.,Kemmling,A.,Kamer,T.,Tepest,R.,Eckert,A., Schussel,K.,Eikenberg,O.,Sturchler-Pierrat,C.,Abramowski,D.,Staufenbiel, M.andMulthaup,G.(200)DietaryCustabilizesbrainsuperoxidedismutase activityandreducesamyloidAbetaproductioninAPP2transgenicmice.ProcNatl AcadSciUSA,00,487-492. Bedouelle,H.andDuplay,P.(988)ProductioninEscherichiacoliandone-step -
Supplementary Informations SI2. Supplementary Table 1
Supplementary Informations SI2. Supplementary Table 1. M9, soil, and rhizosphere media composition. LB in Compound Name Exchange Reaction LB in soil LBin M9 rhizosphere H2O EX_cpd00001_e0 -15 -15 -10 O2 EX_cpd00007_e0 -15 -15 -10 Phosphate EX_cpd00009_e0 -15 -15 -10 CO2 EX_cpd00011_e0 -15 -15 0 Ammonia EX_cpd00013_e0 -7.5 -7.5 -10 L-glutamate EX_cpd00023_e0 0 -0.0283302 0 D-glucose EX_cpd00027_e0 -0.61972444 -0.04098397 0 Mn2 EX_cpd00030_e0 -15 -15 -10 Glycine EX_cpd00033_e0 -0.0068175 -0.00693094 0 Zn2 EX_cpd00034_e0 -15 -15 -10 L-alanine EX_cpd00035_e0 -0.02780553 -0.00823049 0 Succinate EX_cpd00036_e0 -0.0056245 -0.12240603 0 L-lysine EX_cpd00039_e0 0 -10 0 L-aspartate EX_cpd00041_e0 0 -0.03205557 0 Sulfate EX_cpd00048_e0 -15 -15 -10 L-arginine EX_cpd00051_e0 -0.0068175 -0.00948672 0 L-serine EX_cpd00054_e0 0 -0.01004986 0 Cu2+ EX_cpd00058_e0 -15 -15 -10 Ca2+ EX_cpd00063_e0 -15 -100 -10 L-ornithine EX_cpd00064_e0 -0.0068175 -0.00831712 0 H+ EX_cpd00067_e0 -15 -15 -10 L-tyrosine EX_cpd00069_e0 -0.0068175 -0.00233919 0 Sucrose EX_cpd00076_e0 0 -0.02049199 0 L-cysteine EX_cpd00084_e0 -0.0068175 0 0 Cl- EX_cpd00099_e0 -15 -15 -10 Glycerol EX_cpd00100_e0 0 0 -10 Biotin EX_cpd00104_e0 -15 -15 0 D-ribose EX_cpd00105_e0 -0.01862144 0 0 L-leucine EX_cpd00107_e0 -0.03596182 -0.00303228 0 D-galactose EX_cpd00108_e0 -0.25290619 -0.18317325 0 L-histidine EX_cpd00119_e0 -0.0068175 -0.00506825 0 L-proline EX_cpd00129_e0 -0.01102953 0 0 L-malate EX_cpd00130_e0 -0.03649016 -0.79413596 0 D-mannose EX_cpd00138_e0 -0.2540567 -0.05436649 0 Co2 EX_cpd00149_e0 -
Genetic Analysis of Nitrogen Remobilization and Kernel Compositon in Zea Mays L
Purdue University Purdue e-Pubs Open Access Dissertations Theses and Dissertations Spring 2015 Genetic Analysis of Nitrogen Remobilization and Kernel Compositon in Zea Mays L. and Sorghum Bicolor (L.) Moench Raymond S Lindsey Purdue University Follow this and additional works at: https://docs.lib.purdue.edu/open_access_dissertations Part of the Agronomy and Crop Sciences Commons, and the Botany Commons Recommended Citation Lindsey, Raymond S, "Genetic Analysis of Nitrogen Remobilization and Kernel Compositon in Zea Mays L. and Sorghum Bicolor (L.) Moench" (2015). Open Access Dissertations. 504. https://docs.lib.purdue.edu/open_access_dissertations/504 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. ¡ ¢ £ ¤ ¢ ¥ ¦ § ¨ © ¡ £ ¢ ¥ ¦ £ ! " " # $ % % & ' ( ) * ) + * ) ) ( , - . - * / 0 " 1 1 ( 2 - . 0 1 ( 3 4 5 6 5 6 7 8 9 : ; 7 5 < = 7 4 > 7 7 4 : 7 4 : 6 5 6 ? @ 5 6 6 : ; 7 > 7 5 8 A B ; : B > ; : @ C = D A 7 5 7 E : @ ¡ ¢ ¢ £ ¤ ¥ ¥ ¦ § ¨ ¦ ¨ © ¦ ª £ « ¢ ¦ ¢ ¬ ¨ £ ¡ ¦ © ¦ ¥ ¦ « ¢ © ¢ ¤ ¥ £ ¢ ¥ ¦ ¨ ® © ª ¡ ¦ £ ¦ ¨ ¯ £ ° © ¦ ¡ ± ² ³ ´ µ ¶ · ¸ ¹ · F 8 ; 7 4 : @ : G ; : : 8 < H 6 > B B ; 8 I : @ J = 7 4 : < 5 A > E : K > L 5 A 5 A G 9 8 L L 5 7 7 : : M º ³ ² · ¸ ¸ » ¼ ³ ´ ± ½ · ¾ ¿ À ÁÂ » Ã ´ ³ ² · µ ´ ¶ ³ ´ ² Ä Å Æ ´ Ç » Å È N O P Q R S R T P O U V W X Y O Z [ R \ ] R ^ Y \ ^ T _ Y \ R ` T P O O \ S W P -
Mechanisms of Selective Autophagy and Mitophagy Implications For
Neurobiology of Disease 122 (2019) 23–34 Contents lists available at ScienceDirect Neurobiology of Disease journal homepage: www.elsevier.com/locate/ynbdi Review Mechanisms of selective autophagy and mitophagy: Implications for T neurodegenerative diseases ⁎ Charleen T. Chu Departments of Pathology and Ophthalmology, Pittsburgh Institute for Neurodegenerative Diseases, McGowan Institute for Regenerative Medicine, Center for Protein Conformational Diseases, Center for Neuroscience at the University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA ABSTRACT Over the past 20 years, the concept of mammalian autophagy as a nonselective degradation system has been repudiated, due in part to important discoveries in neurodegenerative diseases, which opened the field of selective autophagy. Protein aggregates and damaged mitochondria represent key pathological hallmarks shared by most neurodegenerative diseases. The landmark discovery in 2007 of p62/SQSTM1 as the first mammalian selective autophagy receptor defined anew family of autophagy-related proteins that serve to target protein aggregates, mitochondria, intracellular pathogens and other cargoes to the core autophagy ma- chinery via an LC3-interacting region (LIR)-motif. Notably, mutations in the LIR-motif proteins p62 (SQSTM1) and optineurin (OPTN) contribute to familial forms of frontotemporal dementia and amyotrophic lateral sclerosis. Moreover, a subset of LIR-motif proteins is involved in selective mitochondrial degradation initiated by two recessive familial Parkinson's disease genes. PTEN-induced kinase 1 (PINK1) activates the E3 ubiquitin ligase Parkin (PARK2) to mark depolarized mitochondria for degradation. An extensive body of literature delineates key mechanisms in this pathway, based mostly on work in transformed cell lines. However, the potential role of PINK1-triggered mitophagy in neurodegeneration remains a conundrum, particularly in light of recent in vivo mitophagy studies.