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An organelle-specific protein landscape identifies novel diseases and molecular mechanisms.

ABSTRACT: Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes. Reverse tagging, repetition of purifications and statistical analyses, produce a high-resolution network that reveals organelle-specific interactions and complexes not apparent in larger studies, and links vesicle transport, the cytoskeleton, signalling and ubiquitination to ciliary signalling and proteostasis. We observe sub-complexes in exocyst and intraflagellar transport complexes, which we validate biochemically, and by probing structurally predicted, disruptive, genetic variants from ciliary disease patients. The landscape suggests other genetic diseases could be ciliary including 3M syndrome. We show that 3M genes are involved in ciliogenesis, and that patient fibroblasts lack cilia. Overall, this organelle-specific targeting strategy shows considerable promise for Systems Medicine.

SUBMITTER: Boldt K

PROVIDER: S-EPMC4869170 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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An organelle-specific protein landscape identifies novel diseases and molecular mechanisms.

Boldt Karsten K van Reeuwijk Jeroen J Lu Qianhao Q Koutroumpas Konstantinos K Nguyen Thanh-Minh T TM Texier Yves Y van Beersum Sylvia E C SE Horn Nicola N Willer Jason R JR Mans Dorus A DA Dougherty Gerard G Lamers Ideke J C IJ Coene Karlien L M KL Arts Heleen H HH Betts Matthew J MJ Beyer Tina T Bolat Emine E Gloeckner Christian Johannes CJ Haidari Khatera K Hetterschijt Lisette L Iaconis Daniela D Jenkins Dagan D Klose Franziska F Knapp Barbara B Latour Brooke B Letteboer Stef J F SJ Marcelis Carlo L CL Mitic Dragana D Morleo Manuela M Oud Machteld M MM Riemersma Moniek M Rix Susan S Terhal Paulien A PA Toedt Grischa G van Dam Teunis J P TJ de Vrieze Erik E Wissinger Yasmin Y Wu Ka Man KM Apic Gordana G Beales Philip L PL Blacque Oliver E OE Gibson Toby J TJ Huynen Martijn A MA Katsanis Nicholas N Kremer Hannie H Omran Heymut H van Wijk Erwin E Wolfrum Uwe U Kepes François F Davis Erica E EE Franco Brunella B Giles Rachel H RH Ueffing Marius M Russell Robert B RB Russell Robert B RB Roepman Ronald R

Nature communications 20160513

Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes. Reverse tagging, repetition of purifications and statistical analyses, produce a high-resolution network that reveals organelle- ...[more]

PMID: 27173435

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Project description:To examine whether the expressions of 260 organelle crosstalk regulators (OCRGs) in 16 functional groups are modulated in 23 diseases and 28 tumors, we performed extensive -omics data mining analyses and made a set of significant findings: (1) the ratios of upregulated vs. downregulated OCRGs are 1:2.8 in acute inflammations, 1:1 in metabolic diseases, 1:1.2 in autoimmune diseases, and 1:3.8 in organ failures; (2) sepsis and trauma-upregulated OCRG groups such as vesicle, mitochondrial (MT) fission, and mitophagy but not others, are termed as the cell crisis-handling OCRGs. Similarly, sepsis and trauma plus organ failures upregulated seven OCRG groups including vesicle, MT fission, mitophagy, sarcoplasmic reticulum-MT, MT fusion, autophagosome-lysosome fusion, and autophagosome/endosome-lysosome fusion, classified as the cell failure-handling OCRGs; (3) suppression of autophagosome-lysosome fusion in endothelial and epithelial cells is required for viral replications, which classify this decreased group as the viral replication-suppressed OCRGs; (4) pro-atherogenic damage-associated molecular patterns (DAMPs) such as oxidized low-density lipoprotein (oxLDL), lipopolysaccharide (LPS), oxidized-1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine (oxPAPC), and interferons (IFNs) totally upregulated 33 OCRGs in endothelial cells (ECs) including vesicle, MT fission, mitophagy, MT fusion, endoplasmic reticulum (ER)-MT contact, ER- plasma membrane (PM) junction, autophagosome/endosome-lysosome fusion, sarcoplasmic reticulum-MT, autophagosome-endosome/lysosome fusion, and ER-Golgi complex (GC) interaction as the 10 EC-activation/inflammation-promoting OCRG groups; (5) the expression of OCRGs is upregulated more than downregulated in regulatory T cells (Tregs) from the lymph nodes, spleen, peripheral blood, intestine, and brown adipose tissue in comparison with that of CD4+CD25- T effector controls; (6) toll-like receptors (TLRs), reactive oxygen species (ROS) regulator nuclear factor erythroid 2-related factor 2 (Nrf2), and inflammasome-activated regulator caspase-1 regulated the expressions of OCRGs in diseases, virus-infected cells, and pro-atherogenic DAMP-treated ECs; (7) OCRG expressions are significantly modulated in all the 28 cancer datasets, and the upregulated OCRGs are correlated with tumor immune infiltrates in some tumors; (8) tumor promoter factor IKK2 and tumor suppressor Tp53 significantly modulate the expressions of OCRGs. Our findings provide novel insights on the roles of upregulated OCRGs in the pathogenesis of inflammatory diseases and cancers, and novel pathways for the future therapeutic interventions for inflammations, sepsis, trauma, organ failures, autoimmune diseases, metabolic cardiovascular diseases (CVDs), and cancers.

Project description:BACKGROUND:The mechanisms underlying autoimmune thyroid disease (AITD) remain elusive. Identification of such mechanisms would reveal novel and/or better therapeutic targets. Here, we use integrated analysis of miRNAs and mRNAs expression profiling to identify potential therapeutic targets involved in the mechanisms underlying AITD. METHODS:miRNA and mRNA from twenty fresh-frozen thyroid tissues (15 from AITD patients and 5 from healthy controls) were subjected to next-generation sequencing. An anti-correlated method revealed potential pathways and disease targets, including proteins involved in the formation of primary cilia. Thus, we examined the distribution and length of primary cilia in thyroid tissues from AITD and controls using immunofluorescence and scanning electron microscopy, and parsed cilia formation in thyroid cell lines in response to inflammatory stimuli in the presence of miRNA mimics. FINDINGS:We found that the expression of miR-21-5p, miR-146b-3p, miR-5571-3p and miR-6503-3p was anti-correlated with Enolase 4 (ENO4), in-turned planar cell polarity protein (INTU), kinesin family member 27 (KIF27), parkin co-regulated (PACRG) and serine/threonine kinase 36 (STK36) genes. Functional classification of these miRNA/mRNAs revealed that their differential expression was associated with cilia organization. We demonstrated that the number and length of primary cilia in thyroid tissues was significantly lower in AITD than in control (frequency of follicular ciliated cells in controls?=?67.54% vs a mean of 22.74% and 21.61% in HT and GD respectively p = 0.0001, by one-way ANOVA test). In addition, pro-inflammatory cytokines (IFN? and TNF?) and specific miRNA mimics for the newly identified target genes affected cilia appearance in thyroid cell lines. INTERPRETATION:Integrated miRNA/gene expression analysis has identified abnormal ciliogenesis as a novel susceptibility pathway that is involved in the pathogenesis of AITD. These results reflect that ciliogenesis plays a relevant role in AITD, and opens research pathways to design therapeutic targets in AITD. FUNDING:Instituto de Salud Carlos III, Comunidad de Madrid, Grupo Español de Tumores Neuroendocrinos y Endocrinos, Ministerio de Economía y Empresa and FEDER.

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An organelle-specific protein landscape identifies novel diseases and molecular mechanisms.

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An organelle-specific protein landscape identifies novel diseases and molecular mechanisms.

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