Structural and Biochemical Changes Underlying a Keratoderma-Like Phenotype in Mice Lacking Suprabasal AP1 Transcription Factor Function
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Development and Maintenance of Epidermal Stem Cells in Skin Adnexa
International Journal of Molecular Sciences Review Development and Maintenance of Epidermal Stem Cells in Skin Adnexa Jaroslav Mokry * and Rishikaysh Pisal Medical Faculty, Charles University, 500 03 Hradec Kralove, Czech Republic; [email protected] * Correspondence: [email protected] Received: 30 October 2020; Accepted: 18 December 2020; Published: 20 December 2020 Abstract: The skin surface is modified by numerous appendages. These structures arise from epithelial stem cells (SCs) through the induction of epidermal placodes as a result of local signalling interplay with mesenchymal cells based on the Wnt–(Dkk4)–Eda–Shh cascade. Slight modifications of the cascade, with the participation of antagonistic signalling, decide whether multipotent epidermal SCs develop in interfollicular epidermis, scales, hair/feather follicles, nails or skin glands. This review describes the roles of epidermal SCs in the development of skin adnexa and interfollicular epidermis, as well as their maintenance. Each skin structure arises from distinct pools of epidermal SCs that are harboured in specific but different niches that control SC behaviour. Such relationships explain differences in marker and gene expression patterns between particular SC subsets. The activity of well-compartmentalized epidermal SCs is orchestrated with that of other skin cells not only along the hair cycle but also in the course of skin regeneration following injury. This review highlights several membrane markers, cytoplasmic proteins and transcription factors associated with epidermal SCs. Keywords: stem cell; epidermal placode; skin adnexa; signalling; hair pigmentation; markers; keratins 1. Epidermal Stem Cells as Units of Development 1.1. Development of the Epidermis and Placode Formation The embryonic skin at very early stages of development is covered by a surface ectoderm that is a precursor to the epidermis and its multiple derivatives. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Suppl 1.1 All Data Dimethyl Labled
Fasta headers Protein names Gene names Uniprot Ratio H/L normalized exp01 Ratio H/L normalized exp02 Ratio H/L normalized exp03 Ratio H/L normalized exp04 Ratio H/L normalized exp05 Ratio H/L normalized exp06 Ratio H/L normalized exp07 Ratio H/L normalized exp08 Ratio H/L normalized exp09 Ratio H/L normalized exp10 Ratio H/L normalized exp11b Ratio H/L normalized exp12b Peptides exp01 Peptides exp02 Peptides exp03 Peptides exp04 Peptides exp05 Peptides exp06 Peptides exp07 Peptides exp08 Peptides exp09 Peptides exp10 Peptides exp11b Peptides exp12b Unique peptides exp01 Unique peptides exp02 Unique peptides exp03 Unique peptides exp04 Unique peptides exp05 Unique peptides exp06 Unique peptides exp07 Unique peptides exp08 >sp|P01876|IGHA1_HUMAN Ig alpha-1 chain C region OS=Homo sapiens GN=IGHA1 PE=1 SV=2Ig alpha-1 chain C region IGHA1 P01876 1,90 0,62 2,03 12,53 11,35 0,80 1,87 0,60 0,88 1,60 1,33 1,34 7 6 11 8 10 6 8 8 4 3 7 7 3 3 5 4 5 3 4 3 >sp|P02647|APOA1_HUMAN Apolipoprotein A-I OS=Homo sapiens GN=APOA1 PE=1 SV=1;>tr|F8W696|F8W696_HUMAN Truncated apolipoprotein A-I OS=Homo sapiens GN=APOA1 PE=1 SV=1Apolipoprotein A-I;Truncated apolipoprotein A-I APOA1 P02647 1,71 1,13 0,77 1,73 0,89 1,12 0,61 0,84 1,53 1,46 1,16 0,86 17 16 17 18 16 14 13 16 17 13 14 17 17 16 17 18 16 14 13 16 >sp|P01024|CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2Complement C3;Complement C3 beta chain;Complement C3 alpha chain;C3a anaphylatoxin;Acylation stimulating protein;Complement C3b alpha chain;Complement C3c alpha chain fragment 1;Complement C3dg -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Hypomesus Transpacificus
Aquatic Toxicology 105 (2011) 369–377 Contents lists available at ScienceDirect Aquatic Toxicology jou rnal homepage: www.elsevier.com/locate/aquatox Sublethal responses to ammonia exposure in the endangered delta smelt; Hypomesus transpacificus (Fam. Osmeridae) ∗ 1 2 Richard E. Connon , Linda A. Deanovic, Erika B. Fritsch, Leandro S. D’Abronzo , Inge Werner Aquatic Toxicology Laboratory, Department of Anatomy, Physiology and Cell Biology, School of Veterinary Medicine, University of California, Davis, California 95616, United States a r t i c l e i n f o a b s t r a c t Article history: The delta smelt (Hypomesus transpacificus) is an endangered pelagic fish species endemic to the Received 9 May 2011 Sacramento-San Joaquin Estuary in Northern California, which acts as an indicator of ecosystem health Received in revised form 29 June 2011 in its habitat range. Interrogative tools are required to successfully monitor effects of contaminants upon Accepted 2 July 2011 the delta smelt, and to research potential causes of population decline in this species. We used microarray technology to investigate genome-wide effects in fish exposed to ammonia; one of multiple contami- Keywords: nants arising from wastewater treatment plants and agricultural runoff. A 4-day exposure of 57-day Hypomesus transpacificus + old juveniles resulted in a total ammonium (NH4 –N) median lethal concentration (LC50) of 13 mg/L, Delta smelt Microarray and a corresponding un-ionized ammonia (NH3) LC50 of 147 g/L. Using the previously designed delta + Biomarker smelt microarray we assessed altered gene transcription in juveniles exposed to 10 mg/L NH4 –N from Ammonia this 4-day exposure. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Structural and Biochemical Changes Underlying a Keratoderma-Like Phenotype in Mice Lacking Suprabasal AP1 Transcription Factor Function
Citation: Cell Death and Disease (2015) 6, e1647; doi:10.1038/cddis.2015.21 OPEN & 2015 Macmillan Publishers Limited All rights reserved 2041-4889/15 www.nature.com/cddis Structural and biochemical changes underlying a keratoderma-like phenotype in mice lacking suprabasal AP1 transcription factor function EA Rorke*,1, G Adhikary2, CA Young2, RH Rice3, PM Elias4, D Crumrine4, J Meyer4, M Blumenberg5 and RL Eckert2,6,7,8 Epidermal keratinocyte differentiation on the body surface is a carefully choreographed process that leads to assembly of a barrier that is essential for life. Perturbation of keratinocyte differentiation leads to disease. Activator protein 1 (AP1) transcription factors are key controllers of this process. We have shown that inhibiting AP1 transcription factor activity in the suprabasal murine epidermis, by expression of dominant-negative c-jun (TAM67), produces a phenotype type that resembles human keratoderma. However, little is understood regarding the structural and molecular changes that drive this phenotype. In the present study we show that TAM67-positive epidermis displays altered cornified envelope, filaggrin-type keratohyalin granule, keratin filament, desmosome formation and lamellar body secretion leading to reduced barrier integrity. To understand the molecular changes underlying this process, we performed proteomic and RNA array analysis. Proteomic study of the corneocyte cross-linked proteome reveals a reduction in incorporation of cutaneous keratins, filaggrin, filaggrin2, late cornified envelope precursor proteins, hair keratins and hair keratin-associated proteins. This is coupled with increased incorporation of desmosome linker, small proline-rich, S100, transglutaminase and inflammation-associated proteins. Incorporation of most cutaneous keratins (Krt1, Krt5 and Krt10) is reduced, but incorporation of hyperproliferation-associated epidermal keratins (Krt6a, Krt6b and Krt16) is increased. -
Table S1. the Clinicopathological Data of the Laryngeal Cancer Cases Involved in the Primary Tissue Culture
Table S1. The clinicopathological data of the laryngeal cancer cases involved in the primary tissue culture Case Gender Age at Smoking Alcohol Histological type TNM Tumor coding* diagnosis status status staging† differentiation LC01 male 63 Yes Yes Supraglottic squamous cell carcinoma T4N2M0 Moderate LC14 male 73 Yes Yes Supraglottic squamous cell carcinoma T3N2M0 Moderate LC53 male 54 Yes No Supraglottic squamous cell carcinoma T3N2M0 Moderate LC95 male 50 Yes Yes Glottic squmamous cell carcinoma T3N1M0 Poor *LC represents laryngeal cancer. † staged according to Sixth Edition (2002) of the AJCC-UICC TNM Staging System. Table S2. The clinical characteristics of the 149 patients with laryngeal SCC used for ELISA Variable N (%) Variable N(%) Age (years) Disease stage ≤55 58 (38.9) I 33 (22.1) >55 91 (61.1) II 32 (21.5) Median (range) 58 (35-82) III 41 (27.5) IV 41 (27.5) Missing 2 (1.3) Gender T stage* Male 140 (94.0) T1 33 (21.5) Female 9 (6.0) T2 36 (24.2) T3 52 (34.9) T4 26 (17.4) Missing 2 (1.3) Smoking status Lymph node status Ever 124 (83.2) pN0 110 (73.8) Never 11 (7.4) pN+ 37 (24.8) Missing 14 (9.4) Missing 2 (1.3) Alcohol status Tumor differentiation Yes 84 (56.4) well 34 (22.8) No 51(34.2) moderate 78 (52.3) Missing 14 (9.4) poor 24 (16.1) Missing 13 (8.7) Anatomical region Glottis 82 (55.0) Supraglottis 60 (40.3) Subglottis 1 (0.7) Missing 6 (4.0) *staged according to Sixth Edition (2002) of the AJCC-UICC TNM Staging System. -
Quantigene Flowrna Probe Sets Currently Available
QuantiGene FlowRNA Probe Sets Currently Available Accession No. Species Symbol Gene Name Catalog No. NM_003452 Human ZNF189 zinc finger protein 189 VA1-10009 NM_000057 Human BLM Bloom syndrome VA1-10010 NM_005269 Human GLI glioma-associated oncogene homolog (zinc finger protein) VA1-10011 NM_002614 Human PDZK1 PDZ domain containing 1 VA1-10015 NM_003225 Human TFF1 Trefoil factor 1 (breast cancer, estrogen-inducible sequence expressed in) VA1-10016 NM_002276 Human KRT19 keratin 19 VA1-10022 NM_002659 Human PLAUR plasminogen activator, urokinase receptor VA1-10025 NM_017669 Human ERCC6L excision repair cross-complementing rodent repair deficiency, complementation group 6-like VA1-10029 NM_017699 Human SIDT1 SID1 transmembrane family, member 1 VA1-10032 NM_000077 Human CDKN2A cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4) VA1-10040 NM_003150 Human STAT3 signal transducer and activator of transcripton 3 (acute-phase response factor) VA1-10046 NM_004707 Human ATG12 ATG12 autophagy related 12 homolog (S. cerevisiae) VA1-10047 NM_000737 Human CGB chorionic gonadotropin, beta polypeptide VA1-10048 NM_001017420 Human ESCO2 establishment of cohesion 1 homolog 2 (S. cerevisiae) VA1-10050 NM_197978 Human HEMGN hemogen VA1-10051 NM_001738 Human CA1 Carbonic anhydrase I VA1-10052 NM_000184 Human HBG2 Hemoglobin, gamma G VA1-10053 NM_005330 Human HBE1 Hemoglobin, epsilon 1 VA1-10054 NR_003367 Human PVT1 Pvt1 oncogene homolog (mouse) VA1-10061 NM_000454 Human SOD1 Superoxide dismutase 1, soluble (amyotrophic lateral sclerosis 1 (adult)) -
140503 IPF Signatures Supplement Withfigs Thorax
Supplementary material for Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis Daryle J. DePianto1*, Sanjay Chandriani1⌘*, Alexander R. Abbas1, Guiquan Jia1, Elsa N. N’Diaye1, Patrick Caplazi1, Steven E. Kauder1, Sabyasachi Biswas1, Satyajit K. Karnik1#, Connie Ha1, Zora Modrusan1, Michael A. Matthay2, Jasleen Kukreja3, Harold R. Collard2, Jackson G. Egen1, Paul J. Wolters2§, and Joseph R. Arron1§ 1Genentech Research and Early Development, South San Francisco, CA 2Department of Medicine, University of California, San Francisco, CA 3Department of Surgery, University of California, San Francisco, CA ⌘Current address: Novartis Institutes for Biomedical Research, Emeryville, CA. #Current address: Gilead Sciences, Foster City, CA. *DJD and SC contributed equally to this manuscript §PJW and JRA co-directed this project Address correspondence to Paul J. Wolters, MD University of California, San Francisco Department of Medicine Box 0111 San Francisco, CA 94143-0111 [email protected] or Joseph R. Arron, MD, PhD Genentech, Inc. MS 231C 1 DNA Way South San Francisco, CA 94080 [email protected] 1 METHODS Human lung tissue samples Tissues were obtained at UCSF from clinical samples from IPF patients at the time of biopsy or lung transplantation. All patients were seen at UCSF and the diagnosis of IPF was established through multidisciplinary review of clinical, radiological, and pathological data according to criteria established by the consensus classification of the American Thoracic Society (ATS) and European Respiratory Society (ERS), Japanese Respiratory Society (JRS), and the Latin American Thoracic Association (ALAT) (ref. 5 in main text). Non-diseased normal lung tissues were procured from lungs not used by the Northern California Transplant Donor Network. -
ITRAQ-Based Quantitative Proteomic Analysis of Processed Euphorbia Lathyris L
Zhang et al. Proteome Science (2018) 16:8 https://doi.org/10.1186/s12953-018-0136-6 RESEARCH Open Access ITRAQ-based quantitative proteomic analysis of processed Euphorbia lathyris L. for reducing the intestinal toxicity Yu Zhang1, Yingzi Wang1*, Shaojing Li2*, Xiuting Zhang1, Wenhua Li1, Shengxiu Luo1, Zhenyang Sun1 and Ruijie Nie1 Abstract Background: Euphorbia lathyris L., a Traditional Chinese medicine (TCM), is commonly used for the treatment of hydropsy, ascites, constipation, amenorrhea, and scabies. Semen Euphorbiae Pulveratum, which is another type of Euphorbia lathyris that is commonly used in TCM practice and is obtained by removing the oil from the seed that is called paozhi, has been known to ease diarrhea. Whereas, the mechanisms of reducing intestinal toxicity have not been clearly investigated yet. Methods: In this study, the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic method was applied to investigate the effects of Euphorbia lathyris L. on the protein expression involved in intestinal metabolism, in order to illustrate the potential attenuated mechanism of Euphorbia lathyris L. processing. Differentially expressed proteins (DEPs) in the intestine after treated with Semen Euphorbiae (SE), Semen Euphorbiae Pulveratum (SEP) and Euphorbiae Factor 1 (EFL1) were identified. The bioinformatics analysis including GO analysis, pathway analysis, and network analysis were done to analyze the key metabolic pathways underlying the attenuation mechanism through protein network in diarrhea. Western blot were performed to validate selected protein and the related pathways. Results: A number of differentially expressed proteins that may be associated with intestinal inflammation were identified.