Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
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FHL3 Contributes to EMT and Chemotherapy Resistance Through Inhibiting Ubiquitination of Slug and Activating Tgfβ/Smad-Independent Pathways in Gastric Cancer
FHL3 Contributes to EMT and Chemotherapy Resistance Through Inhibiting Ubiquitination of Slug and Activating TGFβ/Smad-Independent Pathways in Gastric Cancer Guodong Cao First Aliated Hospital of Anhui Medical University Pengping Li Hangzhou Xiaoshan No 1 People's Hospital Qiang Sun Xuzhou Medical University Sihan Chen First Aliated Hospital of Anhui Medical University Xin Xu First Aliated Hospital of Anhui Medical University Xiaobo He First Aliated Hospital of Anhui Medical University Zhenyu Wang Hangzhou Xiaoshan No 1 People's Hospital Peng Chen First Aliated Hospital of Anhui Medical University Maoming Xiong ( [email protected] ) First Aliated Hospital of Anhui Medical University Bo Chen First Aliated Hospital of Anhui Medical University Research Keywords: EMT, Chemotherapy resistance, FHL3, Ubiquitination, Gastric cancer Posted Date: October 9th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-87249/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. ReLoaadd iFngu l[Ml LaitchJeanxs]/ejax/output/CommonHTML/jax.js Page 1/28 Loading [MathJax]/jax/output/CommonHTML/jax.js Page 2/28 Abstract Background: Gastric cancer presents high risk of metastasis and chemotherapy resistance. Hence, the mechanistic understanding of the tumor metastasis and chemotherapy resistance is quietly important. Methods: TCGA database and clinical samples are used for exploring the role of FHL3 in disease progression and prognosis. The roles of FHL3 in metastasis and chemotherapy resistance are explored in vitro and in vivo by siRNA or shRNA treatment. Finally, we explore the FHL3-mediated EMT and chemotherapy resistance. Results: mRNA and protein level of FHL3 is signicantly up-regulated in gastric cancer tissues when compares with it in adjacent tissue. -
Mechanical Forces Induce an Asthma Gene Signature in Healthy Airway Epithelial Cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T
www.nature.com/scientificreports OPEN Mechanical forces induce an asthma gene signature in healthy airway epithelial cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T. Kho4, Kelan Tantisira1, Marc Santolini 1,5, Feixiong Cheng6,7,8, Jennifer A. Mitchel3, Maureen McGill3, Michael J. O’Sullivan3, Margherita De Marzio1,3, Amitabh Sharma1, Scott H. Randell9, Jefrey M. Drazen3, Jefrey J. Fredberg3 & Scott T. Weiss1,3* Bronchospasm compresses the bronchial epithelium, and this compressive stress has been implicated in asthma pathogenesis. However, the molecular mechanisms by which this compressive stress alters pathways relevant to disease are not well understood. Using air-liquid interface cultures of primary human bronchial epithelial cells derived from non-asthmatic donors and asthmatic donors, we applied a compressive stress and then used a network approach to map resulting changes in the molecular interactome. In cells from non-asthmatic donors, compression by itself was sufcient to induce infammatory, late repair, and fbrotic pathways. Remarkably, this molecular profle of non-asthmatic cells after compression recapitulated the profle of asthmatic cells before compression. Together, these results show that even in the absence of any infammatory stimulus, mechanical compression alone is sufcient to induce an asthma-like molecular signature. Bronchial epithelial cells (BECs) form a physical barrier that protects pulmonary airways from inhaled irritants and invading pathogens1,2. Moreover, environmental stimuli such as allergens, pollutants and viruses can induce constriction of the airways3 and thereby expose the bronchial epithelium to compressive mechanical stress. In BECs, this compressive stress induces structural, biophysical, as well as molecular changes4,5, that interact with nearby mesenchyme6 to cause epithelial layer unjamming1, shedding of soluble factors, production of matrix proteins, and activation matrix modifying enzymes, which then act to coordinate infammatory and remodeling processes4,7–10. -
In Vivo Studies Using the Classical Mouse Diversity Panel
The Mouse Diversity Panel Predicts Clinical Drug Toxicity Risk Where Classical Models Fail Alison Harrill, Ph.D The Hamner-UNC Institute for Drug Safety Sciences 0 The Importance of Predicting Clinical Adverse Drug Reactions (ADR) Figure: Cath O’Driscoll Nature Publishing 2004 Risk ID PGx Testing 1 People Respond Differently to Drugs Pharmacogenetic Markers Identified by Genome-Wide Association Drug Adverse Drug Risk Allele Reaction (ADR) Abacavir Hypersensitivity HLA-B*5701 Flucloxacillin Hepatotoxicity Allopurinol Cutaneous ADR HLA-B*5801 Carbamazepine Stevens-Johnson HLA-B*1502 Syndrome Augmentin Hepatotoxicity DRB1*1501 Ximelagatran Hepatotoxicity DRB1*0701 Ticlopidine Hepatotoxicity HLA-A*3303 Average preclinical populations and human hepatocytes lack the diversity to detect incidence of adverse events that occur only in 1/10,000 people. Current Rodent Models of Risk Assessment The Challenge “At a time of extraordinary scientific progress, methods have hardly changed in several decades ([FDA] 2004)… Toxicologists face a major challenge in the twenty-first century. They need to embrace the new “omics” techniques and ensure that they are using the most appropriate animals if their discipline is to become a more effective tool in drug development.” -Dr. Michael Festing Quantitative geneticist Toxicol Pathol. 2010;38(5):681-90 Rodent Models as a Strategy for Hazard Characterization and Pharmacogenetics Genetically defined rodent models may provide ability to: 1. Improve preclinical prediction of drugs that carry a human safety risk 2. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
Olig2 and Ngn2 Function in Opposition to Modulate Gene Expression in Motor Neuron Progenitor Cells
Downloaded from genesdev.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Olig2 and Ngn2 function in opposition to modulate gene expression in motor neuron progenitor cells Soo-Kyung Lee,1 Bora Lee,1 Esmeralda C. Ruiz, and Samuel L. Pfaff2 Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA Spinal motor neurons and oligodendrocytes are generated sequentially from a common pool of progenitors termed pMN cells. Olig2 is a bHLH-class transcription factor in pMN cells, but it has remained unclear how its transcriptional activity is modulated to first produce motor neurons and then oligodendrocytes. Previous studies have shown that Olig2 primes pMN cells to become motor neurons by triggering the expression of Ngn2 and Lhx3. Here we show that Olig2 also antagonizes the premature expression of post-mitotic motor neuron genes in pMN cells. This blockade is counteracted by Ngn2, which accumulates heterogeneously in pMN cells, thereby releasing a subset of the progenitors to differentiate and activate expression of post-mitotic motor neuron genes. The antagonistic relationship between Ngn2 and Olig2 is mediated by protein interactions that squelch activity as well as competition for shared DNA-binding sites. Our data support a model in which the Olig2/Ngn2 ratio in progenitor cells serves as a gate for timing proper gene expression during the development of pMN cells: Olig2high maintains the pMN state, thereby holding cells in reserve for oligodendrocyte generation, whereas Ngn2high favors the conversion of pMN cells into post-mitotic motor neurons. [Keywords: Motor neuron; oligodendrocyte; development; basic helix–loop–helix (bHLH); neurogenin (Ngn); Olig] Supplemental material is available at http://www.genesdev.org. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Variants in PAX6, PITX3 and HSF4 Causing Autosomal Dominant Congenital Cataracts ✉ ✉ Vanita Berry 1,2 , Alex Ionides2, Nikolas Pontikos 1,2, Anthony T
www.nature.com/eye ARTICLE OPEN Variants in PAX6, PITX3 and HSF4 causing autosomal dominant congenital cataracts ✉ ✉ Vanita Berry 1,2 , Alex Ionides2, Nikolas Pontikos 1,2, Anthony T. Moore2, Roy A. Quinlan3 and Michel Michaelides 1,2 © Crown 2021 BACKGROUND: Lens development is orchestrated by transcription factors. Disease-causing variants in transcription factors and their developmental target genes are associated with congenital cataracts and other eye anomalies. METHODS: Using whole exome sequencing, we identified disease-causing variants in two large British families and one isolated case with autosomal dominant congenital cataract. Bioinformatics analysis confirmed these disease-causing mutations as rare or novel variants, with a moderate to damaging pathogenicity score, with testing for segregation within the families using direct Sanger sequencing. RESULTS: Family A had a missense variant (c.184 G>A; p.V62M) in PAX6 and affected individuals presented with nuclear cataract. Family B had a frameshift variant (c.470–477dup; p.A160R*) in PITX3 that was also associated with nuclear cataract. A recurrent missense variant in HSF4 (c.341 T>C; p.L114P) was associated with congenital cataract in a single isolated case. CONCLUSIONS: We have therefore identified novel variants in PAX6 and PITX3 that cause autosomal dominant congenital cataract. Eye; https://doi.org/10.1038/s41433-021-01711-x INTRODUCTION consistent with early developmental effects as would be Cataract the opacification of the eye lens is the most common, but anticipated for PAX6 and PITX3 transcription factors. Recently, treatable cause of blindness in the world (https://www.who.int/ we have found two novel mutations in the transcription factors publications-detail/world-report-on-vision). -
Specificity Landscapes Unmask Submaximal Binding Site Preferences of Transcription Factors
Specificity landscapes unmask submaximal binding site preferences of transcription factors Devesh Bhimsariaa,b,1, José A. Rodríguez-Martíneza,2, Junkun Panc, Daniel Rostonc, Elif Nihal Korkmazc, Qiang Cuic,3, Parameswaran Ramanathanb, and Aseem Z. Ansaria,d,4 aDepartment of Biochemistry, University of Wisconsin–Madison, Madison, WI 53706; bDepartment of Electrical and Computer Engineering, University of Wisconsin–Madison, Madison, WI 53706; cDepartment of Chemistry, University of Wisconsin–Madison, Madison, WI 53706; and dThe Genome Center of Wisconsin, University of Wisconsin–Madison, Madison, WI 53706 Edited by Michael Levine, Princeton University, Princeton, NJ, and approved September 24, 2018 (received for review July 13, 2018) We have developed Differential Specificity and Energy Landscape Here, we report the development of Differential Specificity (DiSEL) analysis to comprehensively compare DNA–protein inter- and Energy Landscapes (DiSEL) to compare experimental actomes (DPIs) obtained by high-throughput experimental plat- platforms, computational methods, and interactomes of TFs, forms and cutting edge computational methods. While high-affinity especially those factors that bind identical consensus motifs. Our DNA binding sites are identified by most methods, DiSEL uncovered results reveal that (i) most high-throughput experimental plat- nuanced sequence preferences displayed by homologous transcription forms reliably identify high-affinity motifs but yield less reliable factors. Pairwise analysis of 726 DPIs uncovered homolog-specific dif- information on submaximal sites; (ii) with few exceptions, com- ferences at moderate- to low-affinity binding sites (submaximal sites). putational methods model DPIs with a focus on high-affinity DiSEL analysis of variants of 41 transcription factors revealed that sites; (iii) submaximal sites improve the annotation of biologi- many disease-causing mutations result in allele-specific changes in cally relevant binding sites across genomes; (iv) among members binding site preferences. -
Relative Impact of Multi-Layered Genomic Data on Gene Expression
Sohn et al. BMC Systems Biology 2013, 7(Suppl 6):S9 http://www.biomedcentral.com/1752-0509/7/S6/S9 RESEARCH Open Access Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors Kyung-Ah Sohn1†, Dokyoon Kim2,3†, Jaehyun Lim2,4, Ju Han Kim2,4* From 24th International Conference on Genome Informatics (GIW 2013) Singapore, Singapore. 16-18 December 2013 Abstract Background: The emerging multi-layers of genomic data have provided unprecedented opportunities for cancer research, especially for the association study between gene expressions and other types of genomic features. No previous approaches, however, provide an adequate statistical framework for or global analysis on the relative impact of different genomic feature layers to gene expression phenotypes. Methods: We propose an integrative statistical framework based on a sparse regression to model the impact of multi-layered genomic features on gene expression traits. The proposed approach can be regarded as an integrative expression Quantitative Traits Loci approach in which not only the genetic variations of SNPs or copy number variations but also other features in both genomic and epigenomic levels are used to explain the expression of genes. To highlight the validity of the proposed approach, the TCGA ovarian cancer dataset was analysed as a pilot task. Results: The analysis shows that our integrative approach has consistently superior power in predicting gene expression levels compared to that from each single data type-based analysis. Moreover, the proposed method has the advantage of producing a substantially reduced number of spurious associations. We provide an interesting characterization of genes in terms of its genomic association patterns. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name LIM homeobox 4 Gene Symbol LHX4 Organism Human Gene Summary This gene encodes a member of a large protein family which contains the LIM domain a unique cysteine-rich zinc-binding domain. The encoded protein is a transcription factor involved in the control of differentiation and development of the pituitary gland. Mutations in this gene cause combined pituitary hormone deficiency 4. Gene Aliases CPHD4, FLJ22769 RefSeq Accession No. NC_000001.10, NG_008081.1, NT_004487.19 UniGene ID Hs.658487 Ensembl Gene ID ENSG00000121454 Entrez Gene ID 89884 Assay Information Unique Assay ID qHsaCED0002909 Assay Type SYBR® Green Detected Coding Transcript(s) ENST00000263726 Amplicon Context Sequence CTATGGAATCCCCCAGTCTCCATCCTCCATATCGTCCCTGCCATCCCACGCTCCT TTGCTCAATGGGCTGGATTACACGGTGGACAGTAATTTGGGCATCATTGC Amplicon Length (bp) 75 Chromosome Location 1:180243462-180243566 Assay Design Exonic Purification Desalted Validation Results Efficiency (%) 94 R2 0.9993 cDNA Cq 24.14 cDNA Tm (Celsius) 82.5 gDNA Cq 23.49 Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 1/4 PrimePCR™Assay Validation Report LHX4, Human Amplification Plot Amplification of cDNA generated from 25 ng of universal reference RNA Melt Peak Melt curve analysis of above amplification Standard Curve Standard curve generated using 20 million copies of template diluted 10-fold to 20 copies Page 2/4 PrimePCR™Assay Validation Report Products used to generate validation data Real-Time PCR Instrument CFX384 Real-Time PCR Detection System Reverse Transcription Reagent iScript™ Advanced cDNA Synthesis Kit for RT-qPCR Real-Time PCR Supermix SsoAdvanced™ SYBR® Green Supermix Experimental Sample qPCR Human Reference Total RNA Data Interpretation Unique Assay ID This is a unique identifier that can be used to identify the assay in the literature and online. -
Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R
bioRxiv preprint doi: https://doi.org/10.1101/132357; this version posted April 29, 2017. 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 4.0 International license. Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R. Hidalgo5, Cankut Çubuk6, Alicia Amadoz5, José Carbonell- Caballero5, Jean-Philippe Vert1,2,3,4, and Joaquín Dopazo6,7,8,* 1MINES ParisTech, PSL Research University, Centre for Computational Biology, 77300 Fontainebleau, France; 2Institut Curie, 75248 Paris Cedex, Franc; 3INSERM, U900, 75248 Paris Cedex, France; 4Ecole Normale Supérieure, Department of Mathematics and their Applications, 75005 Paris, France; 5 Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; 6Clinical Bioinformatics Research Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, 41013, Sevilla, Spain; 7Functional Genomics Node (INB), FPS, Hospital Virgen del Rocío, 41013 Sevilla, Spain; 8 Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013, Sevilla, Spain *To whom correspondence should be addressed. Abstract With the advent of high-throughput technologies for genome-wide expression profiling, a large number of methods have been proposed to discover gene-based signatures as biomarkers to guide cancer prognosis. However, it is often difficult to interpret the list of genes in a prognostic signature regarding the underlying biological processes responsible for disease progression or therapeutic response. A particularly interesting alternative to gene-based biomarkers is mechanistic biomarkers, derived from signaling pathway activities, which are known to play a key role in cancer progression and thus provide more informative insights into cellular functions involved in cancer mechanism. -
Lipid Droplets Protect Human Β Cells from Lipotoxic-Induced Stress and Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.19.449124; this version posted June 20, 2021. 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. Lipid droplets protect human β cells from lipotoxic-induced stress and cell identity changes Xin Tong1 and Roland Stein1,2 1Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 2Corresponding author: [email protected]; Tel: 615-322-7026 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.19.449124; this version posted June 20, 2021. 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. Abstract (200 words) Free fatty acids (FFAs) are often stored in lipid droplet (LD) depots for eventual metabolic and/or synthetic use in many cell types, such a muscle, liver, and fat. In pancreatic islets, overt LD accumulation was detected in humans but not mice. LD buildup in islets was principally observed after roughly 11 years of age, increasing throughout adulthood under physiologic conditions, and also enriched in type 2 diabetes. To obtain insight into the role of LDs in human islet β cell function, the levels of a key LD structural protein, perilipin2 (PLIN2), were manipulated by lentiviral-mediated knock-down (KD) or over-expression (OE) in EndoCβH2-Cre cells, a human cell line with adult islet β-like properties.