Alterations in Seminal Plasma Proteomic Profile in Men with Primary and Secondary Infertility
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Supplementary Information Changes in the Plasma Proteome At
Supplementary Information Changes in the plasma proteome at asymptomatic and symptomatic stages of autosomal dominant Alzheimer’s disease Julia Muenchhoff1, Anne Poljak1,2,3, Anbupalam Thalamuthu1, Veer B. Gupta4,5, Pratishtha Chatterjee4,5,6, Mark Raftery2, Colin L. Masters7, John C. Morris8,9,10, Randall J. Bateman8,9, Anne M. Fagan8,9, Ralph N. Martins4,5,6, Perminder S. Sachdev1,11,* Supplementary Figure S1. Ratios of proteins differentially abundant in asymptomatic carriers of PSEN1 and APP Dutch mutations. Mean ratios and standard deviations of plasma proteins from asymptomatic PSEN1 mutation carriers (PSEN1) and APP Dutch mutation carriers (APP) relative to reference masterpool as quantified by iTRAQ. Ratios that significantly differed are marked with asterisks (* p < 0.05; ** p < 0.01). C4A, complement C4-A; AZGP1, zinc-α-2-glycoprotein; HPX, hemopexin; PGLYPR2, N-acetylmuramoyl-L-alanine amidase isoform 2; α2AP, α-2-antiplasmin; APOL1, apolipoprotein L1; C1 inhibitor, plasma protease C1 inhibitor; ITIH2, inter-α-trypsin inhibitor heavy chain H2. 2 A) ADAD)CSF) ADAD)plasma) B) ADAD)CSF) ADAD)plasma) (Ringman)et)al)2015)) (current)study)) (Ringman)et)al)2015)) (current)study)) ATRN↓,%%AHSG↑% 32028% 49% %%%%%%%%HC2↑,%%ApoM↓% 24367% 31% 10083%% %%%%TBG↑,%%LUM↑% 24256% ApoC1↓↑% 16565% %%AMBP↑% 11738%%% SERPINA3↓↑% 24373% C6↓↑% ITIH2% 10574%% %%%%%%%CPN2↓%% ↓↑% %%%%%TTR↑% 11977% 10970% %SERPINF2↓↑% CFH↓% C5↑% CP↓↑% 16566% 11412%% 10127%% %%ITIH4↓↑% SerpinG1↓% 11967% %%ORM1↓↑% SerpinC1↓% 10612% %%%A1BG↑%%% %%%%FN1↓% 11461% %%%%ITIH1↑% C3↓↑% 11027% 19325% 10395%% %%%%%%HPR↓↑% HRG↓% %%% 13814%% 10338%% %%% %ApoA1 % %%%%%%%%%GSN↑% ↓↑ %%%%%%%%%%%%ApoD↓% 11385% C4BPA↓↑% 18976%% %%%%%%%%%%%%%%%%%ApoJ↓↑% 23266%%%% %%%%%%%%%%%%%%%%%%%%%%ApoA2↓↑% %%%%%%%%%%%%%%%%%%%%%%%%%%%%A2M↓↑% IGHM↑,%%GC↓↑,%%ApoB↓↑% 13769% % FGA↓↑,%%FGB↓↑,%%FGG↓↑% AFM↓↑,%%CFB↓↑,%% 19143%% ApoH↓↑,%%C4BPA↓↑% ApoA4↓↑%%% LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) Supplementary Figure S2. -
Mechanism of Interleukin-1- and Tumor Necrosis Factor Α-Dependent Regulation of the Α1-Antichymotrypsin Gene in Human Astrocyt
The Journal of Neuroscience, October 15, 2000, 20(20):7510–7516 Mechanism of Interleukin-1- and Tumor Necrosis Factor ␣- ␣ Dependent Regulation of the 1-Antichymotrypsin Gene in Human Astrocytes Tomasz Kordula,1 Marcin Bugno,1 Russell E. Rydel,2 and James Travis3 1Institute of Molecular Biology, Jagiellonian University, 31-120 Krako´ w, Poland, 2Elan Pharmaceuticals, South San Francisco, California 94080, and 3Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia 30602 ␣ The expression of 1-antichymotrypsin (ACT) is significantly en- which bind nuclear factor kB (NF-kB) and one that binds activat- hanced in affected brain regions in Alzheimer’s disease. This ing protein 1 (AP-1). All of these elements contribute to the full serine proteinase inhibitor specifically colocalizes with filamen- responsiveness of the ACT gene to both cytokines, as deter- tous -amyloid deposits and recently has been shown to influ- mined by deletion and mutational analysis. The 5Ј NF-kB high- ence both formation and destabilization of -amyloid fibrils. In affinity binding site and AP-1 element contribute most to the the brain, ACT is expressed in astrocytes, and interleukin-1 (IL-1), enhancement of gene transcription in response to TNF and IL-1. tumor necrosis factor ␣ (TNF), oncostatin M (OSM), and IL-6/ In addition, we demonstrate that the 5Ј untranslated region of the soluble IL-6 receptor complexes control synthesis of this inhibi- ACT mRNA does not contribute to cytokine-mediated activation. tor. Here, we characterize a molecular mechanism responsible Finally, we find that overexpression of the NF-kB inhibitor (IkB) for both IL-1 and TNF-induced expression of ACT gene in astro- totally inhibits any activation mediated by the newly identified cytes. -
Extinction of Chromosomes Due to Specialization Is a Universal Occurrence Jason Wilson1*, Joshua M
www.nature.com/scientificreports OPEN Extinction of chromosomes due to specialization is a universal occurrence Jason Wilson1*, Joshua M. Staley2 & Gerald J. Wyckof1,2,3 The human X and Y chromosomes evolved from a pair of autosomes approximately 180 million years ago. Despite their shared evolutionary origin, extensive genetic decay has resulted in the human Y chromosome losing 97% of its ancestral genes while gene content and order remain highly conserved on the X chromosome. Five ‘stratifcation’ events, most likely inversions, reduced the Y chromosome’s ability to recombine with the X chromosome across the majority of its length and subjected its genes to the erosive forces associated with reduced recombination. The remaining functional genes are ubiquitously expressed, functionally coherent, dosage-sensitive genes, or have evolved male-specifc functionality. It is unknown, however, whether functional specialization is a degenerative phenomenon unique to sex chromosomes, or if it conveys a potential selective advantage aside from sexual antagonism. We examined the evolution of mammalian orthologs to determine if the selective forces that led to the degeneration of the Y chromosome are unique in the genome. The results of our study suggest these forces are not exclusive to the Y chromosome, and chromosomal degeneration may have occurred throughout our evolutionary history. The reduction of recombination could additionally result in rapid fxation through isolation of specialized functions resulting in a cost-beneft relationship during times of intense selective pressure. Te human Y chromosome has lost its ability to recombine with its once homologous partner, the X chromo- some, except in its pseudoautosomal regions (PARs) at the termini of the X and Y chromosomes1–3. -
An “Expressionistic” Look at Serrated Precancerous Colorectal Lesions Giancarlo Marra
Marra Diagnostic Pathology (2021) 16:4 https://doi.org/10.1186/s13000-020-01064-1 RESEARCH Open Access An “expressionistic” look at serrated precancerous colorectal lesions Giancarlo Marra Abstract Background: Approximately 60% of colorectal cancer (CRC) precursor lesions are the genuinely-dysplastic conventional adenomas (cADNs). The others include hyperplastic polyps (HPs), sessile serrated lesions (SSL), and traditional serrated adenomas (TSAs), subtypes of a class of lesions collectively referred to as “serrated.” Endoscopic and histologic differentiation between cADNs and serrated lesions, and between serrated lesion subtypes can be difficult. Methods: We used in situ hybridization to verify the expression patterns in CRC precursors of 21 RNA molecules that appear to be promising differentiation markers on the basis of previous RNA sequencing studies. Results: SSLs could be clearly differentiated from cADNs by the expression patterns of 9 of the 12 RNAs tested for this purpose (VSIG1, ANXA10, ACHE, SEMG1, AQP5, LINC00520, ZIC5/2, FOXD1, NKD1). Expression patterns of all 9 in HPs were similar to those in SSLs. Nine putatively HP-specific RNAs were also investigated, but none could be confirmed as such: most (e.g., HOXD13 and HOXB13), proved instead to be markers of the normal mucosa in the distal colon and rectum, where most HPs arise. TSAs displayed mixed staining patterns reflecting the presence of serrated and dysplastic glands in the same lesion. Conclusions: Using a robust in situ hybridization protocol, we identified promising tissue-staining markers that, if validated in larger series of lesions, could facilitate more precise histologic classification of CRC precursors and, consequently, more tailored clinical follow-up of their carriers. -
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 ........................................................................................ -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Downloaded from the Tranche Distributed File System (Tranche.Proteomecommons.Org) and Ftp://Ftp.Thegpm.Org/Data/Msms
Research Article Title: The shrinking human protein coding complement: are there now fewer than 20,000 genes? Authors: Iakes Ezkurdia1*, David Juan2*, Jose Manuel Rodriguez3, Adam Frankish4, Mark Diekhans5, Jennifer Harrow4, Jesus Vazquez 6, Alfonso Valencia2,3, Michael L. Tress2,*. Affiliations: 1. Unidad de Proteómica, Centro Nacional de Investigaciones Cardiovasculares, CNIC, Melchor Fernández Almagro, 3, rid, 28029, MadSpain 2. Structural Biology and Bioinformatics Programme, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, 28029, Madrid, Spain 3. National Bioinformatics Institute (INB), Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, 28029, Madrid, Spain 4. Wellcome Trust Sanger Institute, Wellcome Trust Campus, Hinxton, Cambridge CB10 1SA, UK 5. Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), 1156 High Street, Santa Cruz, CA 95064, USA 6. Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, CNIC, Melchor Fernández Almagro, 3, 28029, Madrid, Spain *: these two authors wish to be considered as joint first authors of the paper. Corresponding author: Michael Tress, [email protected], Tel: +34 91 732 80 00 Fax: +34 91 224 69 76 Running title: Are there fewer than 20,000 protein-coding genes? Keywords: Protein coding genes, proteomics, evolution, genome annotation Abstract Determining the full complement of protein-coding genes is a key goal of genome annotation. The most powerful approach for confirming protein coding potential is the detection of cellular protein expression through peptide mass spectrometry experiments. Here we map the peptides detected in 7 large-scale proteomics studies to almost 60% of the protein coding genes in the GENCODE annotation the human genome. -
Semenogelin II (SEMG2) (NM 003008) Human Recombinant Protein Product Data
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 TP760462 Semenogelin II (SEMG2) (NM_003008) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Purified recombinant protein of Human semenogelin II (SEMG2), full length, with N-terminal HIS tag, expressed in E.Coli, 50ug Species: Human Expression Host: E. coli Tag: N-His Predicted MW: 62.9 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25mM Tris, pH8.0, 150 mM NaCl, 10% glycerol, 1 % Sarkosyl. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_002999 Locus ID: 6407 UniProt ID: Q02383 RefSeq Size: 1982 Cytogenetics: 20q13.12 RefSeq ORF: 1746 Synonyms: SGII Summary: The secreted protein encoded by this gene is involved in the formation of a gel matrix that encases ejaculated spermatozoa. Proteolysis by the prostate-specific antigen (PSA) breaks down the gel matrix and allows the spermatozoa to move more freely. The encoded protein is found in lesser abundance than a similar semenogelin protein. An antibacterial activity has been found for a antimicrobial peptide isolated from this protein. The genes encoding these two semenogelin proteins are found in a cluster on chromosome 20. [provided by RefSeq, Jan 2015] This product is to be used for laboratory only. -
Proteomic Profiling of Two Distinct Populations of Extracellular
International Journal of Molecular Sciences Article Proteomic Profiling of Two Distinct Populations of Extracellular Vesicles Isolated from Human Seminal Plasma Xiaogang Zhang 1, Harmjan R. Vos 2 , Weiyang Tao 3 and Willem Stoorvogel 1,* 1 Department of Biomolecular Health Sciences, Faculty of Veterinary Science, Utrecht University, 3584 CM Utrecht, The Netherlands; [email protected] 2 Center for Molecular Medicine, Molecular Cancer Research Section, University Medical Center, 3584 CX Utrecht, The Netherlands; [email protected] 3 Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, Netherlands; [email protected] * Correspondence: [email protected] Received: 1 September 2020; Accepted: 22 October 2020; Published: 26 October 2020 Abstract: Body fluids contain many populations of extracellular vesicles (EV) that differ in size, cellular origin, molecular composition, and biological activities. EV in seminal plasma are in majority originating from prostate epithelial cells, and hence are also referred to as prostasomes. Nevertheless, EV are also contributed by other accessory sex glands, as well as by the testis and epididymis. In a previous study, we isolated EV from seminal plasma of vasectomized men, thereby excluding contributions from the testis and epididymis, and identified two distinct EV populations with diameters of 50 and 100 nm, respectively. In the current study, we comprehensively analyzed the protein composition of these two EV populations using quantitative Liquid Chromatography-Mass Spectrometry (LC-MS/MS). In total 1558 proteins were identified. Of these, 45% was found only in ≈ the isolated 100 nm EV, 1% only in the isolated 50 nm EV, and 54% in both 100 nm and 50 nm EV. -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Protease Nexin-1 Deficiency Increases Mouse Hindlimb
www.nature.com/scientificreports OPEN Protease nexin‑1 defciency increases mouse hindlimb neovascularisation following ischemia and accelerates femoral artery perfusion Sonia Selbonne1,2, Celina Madjene1,2, Benjamin Salmon 3, Yacine Boulaftali 1,2, Marie‑Christine Bouton 1,2 & Véronique Arocas 1,2,4* We previously identifed the inhibitory serpin protease nexin‑1 (PN‑1) as an important player of the angiogenic balance with anti‑angiogenic activity in physiological conditions. In the present study, we aimed to determine the role of PN‑1 on pathological angiogenesis and particularly in response to ischemia, in the mouse model induced by femoral artery ligation. In wild‑type (WT) muscle, we observed an upregulation of PN‑1 mRNA and protein after ischemia. Angiography analysis showed that femoral artery perfusion was more rapidly restored in PN‑1−/− mice than in WT mice. Moreover, immunohistochemistry showed that capillary density increased following ischemia to a greater extent in PN‑1−/− than in WT muscles. Moreover, leukocyte recruitment and IL‑6 and MCP‑1 levels were also increased in PN‑1−/− mice compared to WT after ischemia. This increase was accompanied by a higher overexpression of the growth factor midkine, known to promote leukocyte trafcking and to modulate expression of proinfammatory cytokines. Our results thus suggest that the higher expression of midkine observed in PN‑1‑ defcient mice can increase leukocyte recruitment in response to higher levels of MCP‑1, fnally driving neoangiogenesis. Thus, PN‑1 can limit neovascularisation in pathological conditions, including post‑ischemic reperfusion of the lower limbs. Peripheral artery disease (PAD) is an atherosclerotic occlusive disease of the lower extremities associated with pain, limited mobility, and an elevated risk of amputation. -
Correlation of Serpin–Protease Expression by Comparative Analysis of Real-Time PCR Profiling Data
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Genomics 88 (2006) 173–184 www.elsevier.com/locate/ygeno Correlation of serpin–protease expression by comparative analysis of real-time PCR profiling data Sunita Badola a, Heidi Spurling a, Keith Robison a, Eric R. Fedyk a, Gary A. Silverman b, ⁎ Jochen Strayle c, Rosana Kapeller a,1, Christopher A. Tsu a, a Millennium Pharmaceuticals, Inc., 40 Landsdowne Street, Cambridge, MA 02139, USA b Department of Pediatrics, University of Pittsburgh School of Medicine, Magee-Women’s Hospital, 300 Halket Street, Pittsburgh, PA 15213, USA c Bayer HealthCare AG, 42096 Wuppertal, Germany Received 2 December 2005; accepted 27 March 2006 Available online 18 May 2006 Abstract Imbalanced protease activity has long been recognized in the progression of disease states such as cancer and inflammation. Serpins, the largest family of endogenous protease inhibitors, target a wide variety of serine and cysteine proteases and play a role in a number of physiological and pathological states. The expression profiles of 20 serpins and 105 serine and cysteine proteases were determined across a panel of normal and diseased human tissues. In general, expression of serpins was highly restricted in both normal and diseased tissues, suggesting defined physiological roles for these protease inhibitors. A high correlation in expression for a particular serpin–protease pair in healthy tissues was often predictive of a biological interaction. The most striking finding was the dramatic change observed in the regulation of expression between proteases and their cognate inhibitors in diseased tissues.