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Mouse Pancreatic Islet Macrophages Use Locally Released ATP to Monitor Beta Cell Activity
Diabetologia DOI 10.1007/s00125-017-4416-y ARTICLE Mouse pancreatic islet macrophages use locally released ATP to monitor beta cell activity Jonathan R. Weitz1,2 & Madina Makhmutova1,3 & Joana Almaça1 & Julia Stertmann4,5,6 & Kristie Aamodt7 & Marcela Brissova8 & Stephan Speier4,5,6 & Rayner Rodriguez-Diaz1 & Alejandro Caicedo1,2,3,9 Received: 14 February 2017 /Accepted: 14 July 2017 # Springer-Verlag GmbH Germany 2017 Abstract and used them to monitor macrophage responses to stimula- Aims/hypothesis Tissue-resident macrophages sense the mi- tion of acinar, neural and endocrine cells. croenvironment and respond by producing signals that act Results Islet-resident macrophages expressed functional locally to maintain a stable tissue state. It is now known that purinergic receptors, making them exquisite sensors of inter- pancreatic islets contain their own unique resident macro- stitial ATP levels. Indeed, islet-resident macrophages phages, which have been shown to promote proliferation of responded selectively to ATP released locally from beta cells the insulin-secreting beta cell. However, it is unclear how beta that were physiologically activated with high levels of glu- cells communicate with islet-resident macrophages. Here we cose. Because ATP is co-released with insulin and is exclu- hypothesised that islet macrophages sense changes in islet sively secreted by beta cells, the activation of purinergic re- activity by detecting signals derived from beta cells. ceptors on resident macrophages facilitates their awareness of Methods To investigate how islet-resident macrophages re- beta cell secretory activity. spond to cues from the microenvironment, we generated mice Conclusions/interpretation Our results indicate that islet mac- expressing a genetically encoded Ca2+ indicator in myeloid rophages detect ATP as a proxy signal for the activation state cells. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
Genomic Selection Signatures in Sheep from the Western Pyrenees Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, Andone Estonba
Genomic selection signatures in sheep from the Western Pyrenees Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, Andone Estonba To cite this version: Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, et al.. Genomic selection signatures in sheep from the Western Pyrenees. Genetics Selection Evolution, BioMed Central, 2018, 50 (1), pp.9. 10.1186/s12711-018-0378-x. hal-02405217 HAL Id: hal-02405217 https://hal.archives-ouvertes.fr/hal-02405217 Submitted on 11 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Ruiz-Larrañaga et al. Genet Sel Evol (2018) 50:9 https://doi.org/10.1186/s12711-018-0378-x Genetics Selection Evolution RESEARCH ARTICLE Open Access Genomic selection signatures in sheep from the Western Pyrenees Otsanda Ruiz‑Larrañaga1* , Jorge Langa1, Fernando Rendo2, Carmen Manzano1, Mikel Iriondo1 and Andone Estonba1 Abstract Background: The current large spectrum of sheep phenotypic diversity -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
TSHZ3 Deletion Causes an Autism Syndrome and Defects in Cortical Projection Neurons
Europe PMC Funders Group Author Manuscript Nat Genet. Author manuscript; available in PMC 2017 March 26. Published in final edited form as: Nat Genet. 2016 November ; 48(11): 1359–1369. doi:10.1038/ng.3681. Europe PMC Funders Author Manuscripts TSHZ3 deletion causes an autism syndrome and defects in cortical projection neurons Xavier Caubit#1, Paolo Gubellini#1, Joris Andrieux2, Pierre L. Roubertoux3, Mehdi Metwaly1, Bernard Jacq1, Ahmed Fatmi1, Laurence Had-Aissouni1, Kenneth Y. Kwan4,5, Pascal Salin1, Michèle Carlier6, Agne Liedén7, Eva Rudd7, Marwan Shinawi8, Catherine Vincent-Delorme9, Jean-Marie Cuisset10, Marie-Pierre Lemaitre10, Fatimetou Abderrehamane2, Bénédicte Duban11, Jean-François Lemaitre11, Adrian S. Woolf12, Detlef Bockenhauer13, Dany Severac14, Emeric Dubois14, Ying Zhu4, Nenad Sestan4, Alistair N. Garratt15, Lydia Kerkerian-Le Goff1, and Laurent Fasano1 1Aix Marseille Univ, CNRS, IBDM, Marseille, France 2Institut de génétique médicale, Hôpital Jeanne de Flandre, CHRU Lille, France 3Aix Marseille Univ, INSERM, GMGF, Marseille, France 4Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA 5Molecular & Behavioral Neuroscience Institute (MBNI), Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA 6Aix Marseille Univ, CNRS, LPC, Marseille, France Europe PMC Funders Author Manuscripts 7Karolinska University Hospital Solna, Clinical Genetics Unit, Stockholm, Sweden 8Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA 9Service de Génétique clinique, Hôpital Jeanne de Flandre, CHRU Lille, France 10Service de Neuropédiatrie, Hôpital Salengro, CHRU Lille, France Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms Correspondence should be addressed to L.F. -
Extracellular ATP and CD39 Activate Camp-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Extracellular ATP and CD39 activate cAMP-mediated mitochondrial stress response to promote cytarabine resistance in acute myeloid leukemia Nesrine Aroua1,2,#, Emeline Boet1,2,#, Margherita Ghisi1,2,#, Marie-Laure Nicolau-Travers1,2,3, Estelle Saland1,2, Ryan Gwilliam1,2, Fabienne de Toni1,2, Mohsen Hosseini1,2, Pierre-Luc Mouchel1,2,3, Thomas Farge1,2, Claudie Bosc1,2, Lucille Stuani1,2, Marie Sabatier1,2, Fetta Mazed4,5, Clément Larrue1,2, Latifa Jarrou1,2, Sarah Gandarillas6, Massimiliano Bardotti6, Muriel Picard2,7, Charlotte Syrykh1,2,8, Camille Laurent1,2,8, Mathilde Gotanègre1,2, Nathalie Bonnefoy9, Floriant Bellvert10, Jean-Charles Portais10, Nathalie Nicot11, Francisco Azuaje12, Tony Kaoma12, Carine Joffre1,2, Jérome Tamburini4,5, Christian Récher1,2,3,#, François Vergez1,2,3,# and Jean-Emmanuel Sarry1,2,* 1Centre de Recherches en Cancérologie de Toulouse, UMR1037 Inserm/Université Toulouse III-Paul Sabatier, ERL5294 CNRS, Equipe Labellisée LIGUE 2018, F-31037 Toulouse, France. 2University of Toulouse, F-31077 Toulouse, France. 3Service d'Hématologie, Institut Universitaire du Cancer de Toulouse-Oncopole, CHU de Toulouse, F- 31100 Toulouse, France. 4Institut Cochin, Département Développement, Reproduction, Cancer, UMR8104-CNRS, U1016- INSERM, Paris 5Translational Research Centre in Onco-Hematology, Faculty of Medicine, University of Geneva, 1211, Geneva 4, Switzerland. 6Centre Régional d'Exploration Fonctionnelle et Ressources Expérimentales, Service d'Expérimentation Animale, UMS006, Inserm, F-31037 Toulouse, France 7Intensive Care Unit, Institut Universitaire du Cancer de Toulouse-Oncopole, CHU de Toulouse, F- 31100 Toulouse, France. 1 8Service d’Anatomopathologie, Institut Universitaire du Cancer de Toulouse-Oncopole, CHU de Toulouse, F-31100 Toulouse, France 9Institut de Recherche en Cancérologie de Montpellier, U1194, Inserm, Université de Montpellier, Institut régional du Cancer de Montpellier, F-34298 Montpellier, France 10TBI, Université de Toulouse, CNRS, INRA, INSA, Toulouse, F-31077, France. -
RAMP1 and RAMP3 Differentially Control Amylin's Effects on Food
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2020 RAMP1 and RAMP3 differentially control amylin’s effects on food intake, glucose and energy balance in male and female mice Coester, Bernd Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-191827 Dissertation Published Version Originally published at: Coester, Bernd. RAMP1 and RAMP3 differentially control amylin’s effects on food intake, glucose and energy balance in male and female mice. 2020, University of Zurich, Vetsuisse Faculty. Institut für Veterinärphysiologie der Vetsuisse-Fakultät Universität Zürich Direktor: Prof. Prof. h.c. Dr. med. vet. Max Gassmann Arbeit unter wissenschaftlicher Betreuung von Christelle Le Foll, PhD RAMP1 and RAMP3 Differentially Control Amylin’s Effects on Food Intake, Glucose and Energy Balance in Male and Female Mice Inaugural-Dissertation zur Erlangung der Doktorwürde der Vetsuisse-Fakultät Universität Zürich vorgelegt von Bernd Coester Tierarzt von Zürich, ZH genehmigt auf Antrag von Prof. Dr. med. vet. Thomas Lutz, Referent 2020 Inhaltsverzeichnis Zusammenfassung 4 Abstract 5 Introduction 6 Experimental Procedures 7 Results 9 Discussion 19 References 24 Appendix 26 3 RAMP1 und RAMP3 kontrollieren die Effekte von Amylin auf Futteraufnahme, Glukose und Energiehaushalt in männlichen und weiblichen Mäusen Bernd Coester, Sydney W Pence, Soraya Arrigoni, Christina N Boyle, Christelle Le Foll, Thomas A Lutz Amylin ist ein Peptid aus dem endokrinen Pankreas und nimmt eine Schlüsselrolle in der Kontrolle von Futteraufnahme und Energiehaushalt ein, wobei es mehrheitlich an drei Rezeptoren bindet (AMY 1-3). AMY 1-3 bestehen aus einem Calcitonin- Rezeptor (CTR) und jeweils einem rezeptor-aktivität-modifizierenden Protein (RAMP1-3). -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
Multi-Functionality of Proteins Involved in GPCR and G Protein Signaling: Making Sense of Structure–Function Continuum with In
Cellular and Molecular Life Sciences (2019) 76:4461–4492 https://doi.org/10.1007/s00018-019-03276-1 Cellular andMolecular Life Sciences REVIEW Multi‑functionality of proteins involved in GPCR and G protein signaling: making sense of structure–function continuum with intrinsic disorder‑based proteoforms Alexander V. Fonin1 · April L. Darling2 · Irina M. Kuznetsova1 · Konstantin K. Turoverov1,3 · Vladimir N. Uversky2,4 Received: 5 August 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published online: 19 August 2019 © Springer Nature Switzerland AG 2019 Abstract GPCR–G protein signaling system recognizes a multitude of extracellular ligands and triggers a variety of intracellular signal- ing cascades in response. In humans, this system includes more than 800 various GPCRs and a large set of heterotrimeric G proteins. Complexity of this system goes far beyond a multitude of pair-wise ligand–GPCR and GPCR–G protein interactions. In fact, one GPCR can recognize more than one extracellular signal and interact with more than one G protein. Furthermore, one ligand can activate more than one GPCR, and multiple GPCRs can couple to the same G protein. This defnes an intricate multifunctionality of this important signaling system. Here, we show that the multifunctionality of GPCR–G protein system represents an illustrative example of the protein structure–function continuum, where structures of the involved proteins represent a complex mosaic of diferently folded regions (foldons, non-foldons, unfoldons, semi-foldons, and inducible foldons). The functionality of resulting highly dynamic conformational ensembles is fne-tuned by various post-translational modifcations and alternative splicing, and such ensembles can undergo dramatic changes at interaction with their specifc partners.