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Fkbp10 (NM 010221) Mouse Untagged Clone – MC201811 | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for MC201811 Fkbp10 (NM_010221) Mouse Untagged Clone Product data: Product Type: Expression Plasmids Product Name: Fkbp10 (NM_010221) Mouse Untagged Clone Tag: Tag Free Symbol: Fkbp10 Synonyms: AI325255; FKBP-10; FKBP-65; Fkbp-rs1; Fkbp1-rs; Fkbp6; FKBP65; Fkbprp Vector: PCMV6-Kan/Neo E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 3 Fkbp10 (NM_010221) Mouse Untagged Clone – MC201811 Fully Sequenced ORF: >BC029546 sequence for NM_010221 GTCCGCTCTCACTGCCGGCGTCCCTGGTCTGGGCACCATGTTCCTTGTGGGGTCCTCCAGCCACACCCTC CATCGGCTCCGCATACTGCCGTTGCTGTTGCTTCTACAGACCTTGGAGAGGGGACTGGGCCGTGCCAGCC CGGCCGGAGCCCCCTTGGAAGATGTGGTCATCGAGAGATACCACATCCCTCGGGCCTGTCCCCGAGAAGT GCAGATGGGGGATTTTGTGCGTTACCACTACAATGGCACTTTCGAAGACGGGAAAAAGTTTGACTCCAGC TATGACCGTAGCACCCTGGTGGCCATCGTTGTGGGCGTAGGCCGCCTCATCACCGGCATGGACCGGGGTC TCATGGGCATGTGTGTCAACGAGCGCCGCCGCCTCATTGTGCCTCCCCACCTGGGCTACGGCAGCATCGG TGTGGCGGGCCTCATCCCCCCTGATGCCACCCTCTATTTTGACGTGGTCCTGCTGGACGTGTGGAACAAA GCAGACACGGTGCAGTCAACTATCCTCCTGCGCCCTCCCTACTGCCCCCGAATGGTGCAGAACAGTGACT TTGTGCGCTATCACTACAATGGCACTCTGCTGGATGGCACTGCCTTTGACAACAGCTACAGTAGGGGAGG CACTTATGACACCTACATCGGCTCTGGTTGGCTGATCAAAGGCATGGACCAGGGGCTGCTGGGCATGTGC -
Identifying Novel Actionable Targets in Colon Cancer
biomedicines Review Identifying Novel Actionable Targets in Colon Cancer Maria Grazia Cerrito and Emanuela Grassilli * Department of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, Italy; [email protected] * Correspondence: [email protected] Abstract: Colorectal cancer is the fourth cause of death from cancer worldwide, mainly due to the high incidence of drug-resistance toward classic chemotherapeutic and newly targeted drugs. In the last decade or so, the development of novel high-throughput approaches, both genome-wide and chemical, allowed the identification of novel actionable targets and the development of the relative specific inhibitors to be used either to re-sensitize drug-resistant tumors (in combination with chemotherapy) or to be synthetic lethal for tumors with specific oncogenic mutations. Finally, high- throughput screening using FDA-approved libraries of “known” drugs uncovered new therapeutic applications of drugs (used alone or in combination) that have been in the clinic for decades for treating non-cancerous diseases (re-positioning or re-purposing approach). Thus, several novel actionable targets have been identified and some of them are already being tested in clinical trials, indicating that high-throughput approaches, especially those involving drug re-positioning, may lead in a near future to significant improvement of the therapy for colon cancer patients, especially in the context of a personalized approach, i.e., in defined subgroups of patients whose tumors carry certain mutations. Keywords: colon cancer; drug resistance; target therapy; high-throughput screen; si/sh-RNA screen; CRISPR/Cas9 knockout screen; drug re-purposing; drug re-positioning Citation: Cerrito, M.G.; Grassilli, E. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Mouse FKBP10 ORF Mammalian Expression Plasmid, N-His Tag
Mouse FKBP10 ORF mammalian expression plasmid, N-His tag Catalog Number: MG5A1953-NH General Information Plasmid Resuspension protocol Gene : FK506 binding protein 10 1. Centrifuge at 5,000×g for 5 min. Official Symbol : FKBP10 2. Carefully open the tube and add 100 l of sterile water to Synonym : Fkbp6; FKBP65; Fkbprp; FKBP-10; dissolve the DNA. FKBP-65; AI325255; Fkbp-rs1; Fkbp1-rs 3. Close the tube and incubate for 10 minutes at room Source : Mouse temperature. cDNA Size: 1746bp 4. Briefly vortex the tube and then do a quick spin to RefSeq : NM_010221.2 concentrate the liquid at the bottom. Speed is less than Description 5000×g. Lot : Please refer to the label on the tube 5. Store the plasmid at -20 ℃. Vector : pCMV3-SP-N-His Shipping carrier : Each tube contains approximately 10 μg of lyophilized plasmid. The plasmid is ready for: Storage : • Restriction enzyme digestion The lyophilized plasmid can be stored at ambient temperature • PCR amplification for three months. • E. coli transformation Quality control : • DNA sequencing The plasmid is confirmed by full-length sequencing with primers in the sequencing primer list. E.coli strains for transformation (recommended Sequencing primer list : but not limited) pCMV3-F: 5’ CAGGTGTCCACTCCCAGGTCCAAG 3’ Most commercially available competent cells are appropriate for pcDNA3-R : 5’ GGCAACTAGAAGGCACAGTCGAGG 3’ the plasmid, e.g. TOP10, DH5α and TOP10F´. Or Forward T7 : 5’ TAATACGACTCACTATAGGG 3’ ReverseBGH : 5’ TAGAAGGCACAGTCGAGG 3’ pCMV3-F and pcDNA3-R are designed by Sino Biological Inc. Customers can order the primer pair from any oligonucleotide supplier. Manufactured By Sino Biological Inc., FOR RESEARCH USE ONLY. -
Supplementary Table 3
Supplemental Table 1 M e13 ∆∆Ct e13 M e15 ∆∆Ct e15 chromogranin A -3,26 (9,6 ↓ ) -6,29 (78 ↓ ) -2,56 (5,9 ↓ ) -6,57 (95 ↓ ) crystallin, beta A2 -0,95 (1,9 ↓ ) -4,57 (24 ↓ ) -1,82 (3,5 ↓ ) -4 (16 ↓ ) cyclin-dependent kinase inhibitor 1A (P21) -1,15 (2,2 ↓ ) -1,41 (2,7 ↓ ) -0,36 (1,3 ↓ ) 0,29 (1,2 ↑ ) cytochrome P450, family 4, subfamily b, polypeptide 1 -0,68 (1,6 ↓ ) 0,16 (1,1 ↑ ) -0,56 (1,5 ↓ ) -0,08 (1,1 ↓ ) myelin transcription factor 1 -1,28 (2,4 ↓ ) -2,62 (6,1 ↓ ) -1,46 (2,8 ↓ ) -3,59 (12 ↓ ) neurogenic differentiation 2 -0,06 (1,0 → ) NA -1,34 (2,5 ↓ ) NA neuronatin 0,14 (1,1 ↑ ) 0,12 (1,1 ↑ ) -0,79 (1,7 ↓ ) -2,02 (4,1 ↓ ) protocadherin 21 -1,62 (3,1 ↓ ) -5,71 (52 ↓ ) -1,77 (3,4 ↓ ) -6,41 (85 ↓ ) regulated endocrine-specific protein 18 -2,1 (4,3 ↓ ) -4,73 (27 ↓ ) -1,55 (2,9 ↓ ) -5,09 (34 ↓ ) retinol binding protein 4, plasma -1,68 (3,2 ↓ ) -1,52 (2,9 ↓ ) -1,53 (2,9 ↓ ) -2,15 (4,4 ↓ ) rhomboid, veinlet-like 4 (Drosophila) -1,14 (2,2 ↓ ) -0,29 (1,2 ↓ ) -1,09 (2,1 ↓ ) -0,58 (1,5 ↓ ) sestrin 2 -0,78 (1,7 ↓ ) -0,84 (1,8 ↓ ) -0,67 (1,6 ↓ ) -0,61 (1,5 ↓ ) synaptotagmin 13 -1,63 (3,1 ↓ ) -2,59 (6,0 ↓ ) -1,77 (3,4 ↓ ) -2,71 (6,5 ↓ ) t-complex protein 11 -0,48 (1,4 ↓ ) -1,35 (2,5 ↓ ) -0,68 (1,6 ↓ ) -2,83 (7,1 ↓ ) -0,62 (1,5 ↓ ) -0,76 (1,7 ↓ ) transmembrane 4 superfamily member 2 -0,29 (1,2 ↓ ) -0,55 (1,5 ↓ ) -0,67 (1,6 ↓ ) -0,38 (1,3 ↓ ) 2510004L01Rik -0,7 (1,6 ↓ ) -1,58 (3,0 ↓ ) -0,07 (1,0 → ) 0,16 (1,1 ↑ ) C81234 -3,12 (8,7 ↓ ) -7,75 (215 ↓ ) -2,29 (4,9 ↓ ) -4,86 (29 ↓ ) Insulin 2 NM -9,89 (948 ↓ ) NM -14,2 (18820 ↓ ) Neurogenin 3 NM NA -
A Key Actor of Collagen Crosslinking in Clear Cell Renal Cell Carcinoma
www.aging-us.com AGING 2021, Vol. 13, No. 15 Research Paper FK506 binding protein 10: a key actor of collagen crosslinking in clear cell renal cell carcinoma Yubai Zhang1,4, Yue Yin2, Sijia Liu3, Lei Yang1,4, Changhua Sun4, Ruihua An1 1Department of Urology Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2Department of Oncology Radiotherapy, The Second Affiliated Hospital of Harbin Medical University, Harbin, China 3Department of Gynecological Radiotherapy, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China 4Department of Urology Surgery, The First Hospital of Harbin, Harbin, China Correspondence to: Ruihua An; email: [email protected], https://orcid.org/0000-0002-7041-2014 Keywords: FKBP10, clear cell renal cell carcinoma, collagen synthesis, prognosis Received: May 27, 2021 Accepted: July 10, 2021 Published: August 13, 2021 Copyright: © 2021 Zhang 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 Clear cell renal cell carcinoma (ccRCC) is the most common type of malignant tumor in the kidney. With numbers of patients whose physical condition or tumor stage not suitable for radical surgery, they only have a narrow choice of using VEGF/mTOR targeted drugs to control their tumors, but ccRCC often shows resistance to these drugs. Therefore, identifying a new therapeutic target is of urgent necessity. In this study, for the first time, we concluded from bioinformatics analyses and in vitro research that FK506 binding protein 10 (FKBP10), together with its molecular partner Lysyl hydroxylase 2 (LH2/PLOD2), participate in the process of type I collagen synthesis in ccRCC via regulating crosslinking of pro-collagen chains. -
GAK and PRKCD Are Positive Regulators of PRKN-Independent
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.05.369496; this version posted November 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 GAK and PRKCD are positive regulators of PRKN-independent 2 mitophagy 3 Michael J. Munson1,2*, Benan J. Mathai1,2, Laura Trachsel1,2, Matthew Yoke Wui Ng1,2, Laura 4 Rodriguez de la Ballina1,2, Sebastian W. Schultz2,3, Yahyah Aman4, Alf H. Lystad1,2, Sakshi 5 Singh1,2, Sachin Singh 2,3, Jørgen Wesche2,3, Evandro F. Fang4, Anne Simonsen1,2* 6 1Division of Biochemistry, Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo 7 2Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, N-0316, Oslo, Norway. 8 3Department of Molecular Cell Biology, The Norwegian Radium Hospital Montebello, N-0379, Oslo, Norway 9 4Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway 10 11 Keywords: GAK, Cyclin G Associated Kinase, PRKCD, Protein Kinase C Delta, Mitophagy, DFP, 12 DMOG, PRKN 13 14 *Corresponding Authors: 15 [email protected] 16 [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.05.369496; this version posted November 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
FKBP10 and Bruck Syndrome
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector LETTERS TO THE EDITOR FKBP10 and Bruck Syndrome: none of them overlapped with either of the two previously described Bruck syndrome loci, confirming that these Phenotypic Heterogeneity patients have Bruck syndrome 3 (BKS3).6,7 One area of or Call for Reclassification? overlap between the two patients was identified on 17q21.2, spanning 1.5Mb of genomic DNA that contains 91 genes. FKBP10, which encodes FKBP65, an extracellular matrix binding protein,8 was an attractive candidate in To the Editor: We read with interest the recent paper by that interval. Sequencing of the entire coding and the Alanay et al., who describe the first human patients with flanking intronic sequence revealed the presence of a FKBP10 (MIM 607063) mutations and conclude that homozygous 8 bp insertion (c.1023insGGAGAATT) along this adds to the growing list of autosomal-recessive non- with resulting frameshift and premature truncation of syndromic osteogenesis imperfecta (OI) genes (MIM the protein (p.T342GfsX367). 610968).1 This is in contrast to our experience with an Interestingly, the OI phenotype that Alanay et al. extremely rare form of OI called Bruck syndrome (MIM described in association with the two mutations is much 259450 and 609220), in which multiple joint contracture more severe than the one we describe here.1 It may be is a prominent finding.2 Below we show this syndrome hard to attribute this to the allelic difference because one to be caused by a mutation in the same gene. -
Produktinformation
Produktinformation Diagnostik & molekulare Diagnostik Laborgeräte & Service Zellkultur & Verbrauchsmaterial Forschungsprodukte & Biochemikalien Weitere Information auf den folgenden Seiten! See the following pages for more information! Lieferung & Zahlungsart Lieferung: frei Haus Bestellung auf Rechnung SZABO-SCANDIC Lieferung: € 10,- HandelsgmbH & Co KG Erstbestellung Vorauskassa Quellenstraße 110, A-1100 Wien T. +43(0)1 489 3961-0 Zuschläge F. +43(0)1 489 3961-7 [email protected] • Mindermengenzuschlag www.szabo-scandic.com • Trockeneiszuschlag • Gefahrgutzuschlag linkedin.com/company/szaboscandic • Expressversand facebook.com/szaboscandic FKBP10 Recombinant Protein (OPCD03243) Data Sheet Product Number OPCD03243 Product Page http://www.avivasysbio.com/fkbp10-recombinant-protein-opcd03243.html Product Name FKBP10 Recombinant Protein (OPCD03243) Size 10 ug Gene Symbol FKBP10 Alias Symbols 65kDa, 65 kDa FK506-binding protein, 65 kDa FKBP, AI325255, FK506-binding protein 10, FKBP-10, Fkbp1-rs, Fkbp6, Fkbp65, FKBP65, FKBP-65 , Fkbprp, Fkbp-rs, Fkbp-rs1, Immunophilin FKBP65, Peptidyl-prolyl cis-trans isomerase FKBP10, PPIase FKBP10, Rotamase Molecular Weight 30 kDa Product Format Lyophilized Tag N-terminal His Tag Conjugation Unconjugated NCBI Gene Id 14230 Host E.coli Purity > 95% Source Prokaryotic Expressed Recombinant Official Gene Full Name FK506 binding protein 10 Description of Target PPIases accelerate the folding of proteins during protein synthesis. Reconstitution and Storage Reconstitute in PBS or others. Store at 2-8C for one month. Aliquot and store at -80C for 12 months. Avoid repeated freeze/thaw cycles. Additional Information Endotoxin Level: < 1.0 EU per 1 ug (determined by the LAL method) Additional Information Residues: Val316 - Asp573 Lead Time Domestic: within 1-2 weeks delivery International: 1-3 weeks Formulation Lyophilized in PBS, pH7.4, containing 0.01% SKL, 1mM DTT, 5% Trehalose and Proclin300. -
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. -
HSP90-Incorporating Chaperome Networks As Biosensor for Disease-Related Pathways in Patient- Specific Midbrain Dopamine Neurons
ARTICLE DOI: 10.1038/s41467-018-06486-6 OPEN HSP90-incorporating chaperome networks as biosensor for disease-related pathways in patient- specific midbrain dopamine neurons Sarah Kishinevsky1,2,3,4, Tai Wang3, Anna Rodina3, Sun Young Chung1,2, Chao Xu3, John Philip5, Tony Taldone3, Suhasini Joshi3, Mary L. Alpaugh3,14, Alexander Bolaender3, Simon Gutbier6, Davinder Sandhu7, Faranak Fattahi1,2, Bastian Zimmer1,2, Smit K. Shah3, Elizabeth Chang5, Carmen Inda3,15, John Koren 3rd3,16, Nathalie G. Saurat1,2, Marcel Leist 6, Steven S. Gross7, Venkatraman E. Seshan8, Christine Klein9, Mark J. Tomishima1,2,10, Hediye Erdjument-Bromage11,12, Thomas A. Neubert 11,12, Ronald C. Henrickson5, 1234567890():,; Gabriela Chiosis3,13 & Lorenz Studer1,2 Environmental and genetic risk factors contribute to Parkinson’s Disease (PD) pathogenesis and the associated midbrain dopamine (mDA) neuron loss. Here, we identify early PD pathogenic events by developing methodology that utilizes recent innovations in human pluripotent stem cells (hPSC) and chemical sensors of HSP90-incorporating chaperome networks. We show that events triggered by PD-related genetic or toxic stimuli alter the neuronal proteome, thereby altering the stress-specific chaperome networks, which produce changes detected by chemical sensors. Through this method we identify STAT3 and NF-κB signaling activation as examples of genetic stress, and phospho-tyrosine hydroxylase (TH) activation as an example of toxic stress-induced pathways in PD neurons. Importantly, pharmacological inhibition of the stress chaperome network reversed abnormal phospho- STAT3 signaling and phospho-TH-related dopamine levels and rescued PD neuron viability. The use of chemical sensors of chaperome networks on hPSC-derived lineages may present a general strategy to identify molecular events associated with neurodegenerative diseases.