Activation of Plasmacytoid Dendritic Cells in Colon-Draining Lymph
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Ccl9 Induced by Tgf-Β Signaling in Myeloid Cells Enhances Tumor Cell Survival in the Premetastatic Lung
CCL9 INDUCED BY TGF-β SIGNALING IN MYELOID CELLS ENHANCES TUMOR CELL SURVIVAL IN THE PREMETASTATIC LUNG by Hangyi Yan A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March, 2015 ABSTRACT The majority of cancer patients die from metastasis. To achieve metastasis, tumor cells must first survive and then proliferate to form colonies. Compelling data have shown the indispensable participation of host microenvironment for metastasis. Bone marrow derived myeloid cells sculpt a tumor-promoting microenvironment in the premetastatic organs prior to tumor cell arrival. However, the molecular mechanisms for this “seed and soil” hypothesis are unclear. Here we report that CCL9 was significantly produced and secreted by Gr-1+CD11b+ cells when co-cultured with tumor cells, and in the premetastatic lung. CCL9 knockdown (KD) in myeloid cells decreased metastasis, and this process signaled through its sole receptor CCR1. Overexpression of CCR1 lost the metastasis-promoting function in the context of CCL9 KD. CCL9 enhanced tumor cell survival in the premetastatic organs. The underlying molecular mechanisms included activation of cell survival factors phosphorylated AKT and BCL-2, as well as inhibition of Poly (ADP-ribose) polymerase (PARP)-dependent apoptosis pathway. Additionally, CCL9/CCR1 had autocrine effects, which enhanced CCL9 secretion and the survival of Gr-1+CD11b+ cells. We found that CCL9 was a key effector of myeloid transforming growth factor β (TGF-β) pathway that promotes metastasis. Decreased metastasis in mice with myeloid specific TGF-β receptor II deletion (Tgfbr2MyeKO) correlated with lower CCL9 expression in TGF-β deficient myeloid cells. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Synaptamide Activates the Adhesion GPCR GPR110 (ADGRF1) Through GAIN Domain Binding
ARTICLE https://doi.org/10.1038/s42003-020-0831-6 OPEN Synaptamide activates the adhesion GPCR GPR110 (ADGRF1) through GAIN domain binding Bill X. Huang1, Xin Hu2, Heung-Sun Kwon1, Cheng Fu1, Ji-Won Lee1, Noel Southall2, Juan Marugan2 & ✉ Hee-Yong Kim1 1234567890():,; Adhesion G protein-coupled receptors (aGPCR) are characterized by a large extracellular region containing a conserved GPCR-autoproteolysis-inducing (GAIN) domain. Despite their relevance to several disease conditions, we do not understand the molecular mechanism by which aGPCRs are physiologically activated. GPR110 (ADGRF1) was recently deorphanized as the functional receptor of N-docosahexaenoylethanolamine (synaptamide), a potent synap- togenic metabolite of docosahexaenoic acid. Thus far, synaptamide is the first and only small- molecule endogenous ligand of an aGPCR. Here, we demonstrate the molecular basis of synaptamide-induced activation of GPR110 in living cells. Using in-cell chemical cross-linking/ mass spectrometry, computational modeling and mutagenesis-assisted functional assays, we discover that synaptamide specifically binds to the interface of GPR110 GAIN subdomains through interactions with residues Q511, N512 and Y513, causing an intracellular conforma- tional change near TM6 that triggers downstream signaling. This ligand-induced GAIN-tar- geted activation mechanism provides a framework for understanding the physiological function of aGPCRs and therapeutic targeting in the GAIN domain. 1 Laboratory of Molecular Signaling, National Institute on Alcohol Abuse -
The Importance of Microenvironment: the Role of CCL8 in Metastasis Formation of Melanoma
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No. 30 The importance of microenvironment: the role of CCL8 in metastasis formation of melanoma Tamás Barbai1, Zsuzsanna Fejős1, Laszlo G. Puskas2, József Tímár1,3 and Erzsébet Rásó1,3 1 2nd Department of Pathology, Semmelweis University, Budapest, Hungary 2 Avidin Ltd., Szeged, Hungary 3 MTA-SE Tumor Progression Research Group, Budapest, Hungary Correspondence to: Tamás Barbai, email: [email protected] Keywords: melanoma metastasis, microenvironment, CCL8, miR146a Received: February 19, 2015 Accepted: July 16, 2015 Published: July 31, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT We have attempted to characterize the changes occurring on the host side during the progression of human melanoma. To investigate the role of tumor microenvironment, we set up such an animal model, which was able to isolate the host related factors playing central role in metastasis formation. One of these ’factors’, CCL12, was consequently selected and its behavior was examined alongside its human homologue (CCL8). In our animal model, metastasis forming primary melanoma in the host exhibited increased level of CCL12 mRNA expression. In clinical samples, when examining the tumor and the host together, the cumulative (tumor and host) CCL8 expression was lower in the group in which human primary melanoma formed lung metastasis compared to non-metastatic primary tumors. We could not detect significant difference in CCL8 receptor (CCR1) expression between the two groups. Increased migration of the examined tumor cell lines was observed when CCL8 was applied as a chemoattractant. -
Physiological and Pathophysiological Regulation of the Ryanodine Receptor in Skeletal Muscle
Physiological and pathophysiological regulation of the ryanodine receptor in skeletal muscle Alisa Umanskaya Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2015 © 2015 Alisa Umanskaya All rights reserved Abstract Physiological and pathophysiological regulation of ryanodine receptor in skeletal muscle Alisa Umanskaya Ryanodine receptor calcium release channels are essential for skeletal muscle contraction, as they mediate the release of calcium ions from intracellular stores into the cytosol. The data presented in this dissertation demonstrate the evolutionarily conserved mechanisms of skeletal muscle ryanodine receptor regulation in the physiological and pathophysiological states. Adrenergic stimulation causes increased skeletal muscle force, however, despite the well- established role of this physiological response, the molecular mechanism is not known. Here we present a mechanism whereby phosphorylation of a single amino acid on the ryanodine receptor is a key signal in the physiological stress-induced inotropic response in mouse skeletal muscle. Therefore acute post-translational modifications of ryanodine receptor channels are important for healthy muscle contraction. Conversely, chronic stress-induced post-translational modifications result in poorly functioning murine ryanodine receptor channels that contribute to skeletal muscle dysfunction in age- dependent skeletal muscle weakness and Muscular Dystrophies. Finally, we present data that demonstrates striking evolutionary conservation in ryanodine receptor regulation in the physiological and pathophysiological states between mice and C. elegans. This work has broad implications for understanding the underlying mechanisms of skeletal muscle contraction and important disorders that affect human health. Furthermore, this works presents ryanodine receptor channels as a viable therapeutic target for age-related skeletal muscle weakness, Muscular Dystrophies, and also implicates C. -
An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors
Ecology and Evolutionary Biology 2021; 6(3): 53-77 http://www.sciencepublishinggroup.com/j/eeb doi: 10.11648/j.eeb.20210603.11 ISSN: 2575-3789 (Print); ISSN: 2575-3762 (Online) An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors Miguel Angel Fuertes*, Carlos Alonso Department of Microbiology, Centre for Molecular Biology “Severo Ochoa”, Spanish National Research Council and Autonomous University, Madrid, Spain Email address: *Corresponding author To cite this article: Miguel Angel Fuertes, Carlos Alonso. An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors. Ecology and Evolutionary Biology. Vol. 6, No. 3, 2021, pp. 53-77. doi: 10.11648/j.eeb.20210603.11 Received: April 24, 2021; Accepted: May 11, 2021; Published: July 13, 2021 Abstract: Capturing conserved patterns in genes and proteins is important for inferring phenotype prediction and evolutionary analysis. The study is focused on the conserved patterns of the G protein-coupled receptors, an important superfamily of receptors. Olfactory receptors represent more than 2% of our genome and constitute the largest family of G protein-coupled receptors, a key class of drug targets. As no crystallographic structures are available, mechanistic studies rely on the use of molecular dynamic modelling combined with site-directed mutagenesis data. In this paper, we hypothesized that human-mouse orthologs coding for G protein-coupled receptors maintain, at speciation events, shared compositional structures independent, to some extent, of their percent identity as reveals a method based in the categorization of nucleotide triplets by their gross composition. The data support the consistency of the hypothesis, showing in ortholog G protein-coupled receptors the presence of emergent shared compositional structures preserved at speciation events. -
Genetically Enhancing Mitochondrial Antioxidant Activity Improves Muscle Function in Aging
Genetically enhancing mitochondrial antioxidant activity improves muscle function in aging Alisa Umanskayaa,1,GaetanoSantullia,1,WenjunXiea,1, Daniel C. Anderssona,StevenR.Reikena, and Andrew R. Marksa,b,2 aDepartment of Physiology and Cellular Biophysics, The Clyde and Helen Wu Center for Molecular Cardiology, Columbia University College of Physiciansand Surgeons, New York, NY 10032; and bDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY 10032 Edited by Eric N. Olson, University of Texas Southwestern Medical Center, Dallas, TX, and approved September 15, 2014 (received for review July 7, 2014) Age-related skeletal muscle dysfunction is a leading cause of reduction in skeletal muscle specific force (10). Acute induction + morbidity that affects up to half the population aged 80 or greater. of RyR1-mediated SR Ca2 leak with rapamycin, which com- Here we tested the effects of increased mitochondrial antioxidant petes the channel-stabilizing subunit, calstabin1, off from RyR1 activity on age-dependent skeletal muscle dysfunction using trans- (14, 16), resulted in defective mitochondrial function associated genic mice with targeted overexpression of the human catalase with elevated free radical production (10). However, the role of gene to mitochondria (MCat mice). Aged MCat mice exhibited mitochondrial ROS in age-dependent reduction in skeletal improved voluntary exercise, increased skeletal muscle specific force muscle function and exercise capacity has not been elucidated. and tetanic Ca2+ transients, decreased intracellular Ca2+ leak and Recently, there have been numerous efforts to study mito- + increased sarcoplasmic reticulum (SR) Ca2 load compared with chondria-derived free radicals in health and lifespan by experi- age-matched wild type (WT) littermates. -
GPCR Expression Profiles Were Determined Using
Supplemental Figures and Tables for Tischner et al., 2017 Supplemental Figure 1: GPCR expression profiles were determined using the NanoString nCounter System in 250 ng of pooled cell RNA obtained from freshly isolated CD4 T cells from naïve lymph nodes (CD4ln), spinal cord infiltrating CD4 T cells at peak EAE disease (CD4sc), and primary lung endothelial cells (luEC). Supplemental Figure 2: Array design and quality controls. A, Sorted leukocytes or endothelial cells were subjected to single‐cell expression analysis and re‐evaluated based on the expression of various identity‐defining genes. B, Expression of identity‐defining and quality control genes after deletion of contaminating or reference gene‐negative cells. Expression data are calculated as 2(Limit of detection(LoD) Ct – sample Ct) ; LoD Ct was set to 24. Supplemental Figure 3: Overview over GPCR expression frequencies in different freshly isolated immune cell populations and spinal cord endothelial cells as determined by single cell RT‐PCR. Abbreviations: CD4ln‐Tcon/CD4ln‐Treg, conventional (con) and regulatory (reg) CD4 T cells from lymph nodes (CD4ln) of naïve mice; CD4dr/CD4sc, CD4 T cells from draining lymph nodes (dr) or spinal cord (sc) at peak EAE disease; CD4spn2D/ CD4spn2DTh1/ CD4spn2DTh17, splenic CD4 T cells from 2D2 T cell receptor transgenic mice before (2D) and after in vitro differentiation towards Th1 (2DTh1) or Th17 (2DTh17); MonoSpn, splenic monocytes; CD11b_sc, spinal cord infiltrating CD11b‐ positive cells; sc_microglia, Ccr2neg,Cx3cr1pos microglia from spinal cord at peak disease; sc_macrophages, CCr2pos;Cx3cr1lo/neg macrophages from spinal cord at peak disease; BMDM_M1/BMDM_M2, bone marrow‐derived macrophages differentiated towards M1 or M2; ECscN and ECscEAE, spinal cord endothelial cells from naïve mice (N) and at peak EAE disease (EAE); SMC, smooth muscle cells from various vessel types (included as positive control to ascertain primer functionality).