Prenatal Diagnosis of Small Supernumerary Marker Chromosome 10 by Array-Based Comparative Genomic Hybridization and Microdissected Chromosome Sequencing
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Supplementary Data
Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2). -
Contribution of MSMB Promoter Region Gene Polymorphism to Early-Onset Prostate Cancer Risk in Mexican Males
www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 7), pp: 738-748 Research Paper Contribution of MSMB promoter region gene polymorphism to early-onset prostate cancer risk in Mexican males Silvia Juliana Trujillo-Cáceres1, Luisa Torres-Sánchez1, Ana I. Burguete-García2, Yaneth Citlalli Orbe Orihuela2, Ruth Argelia Vázquez-Salas3, Esmeralda Álvarez- Topete4 and Rocío Gómez4 1Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública (INSP), Cuernavaca, Morelos, Mexico 2Centro de Investigación en Enfermedades Infecciosas, INSP, Cuernavaca, Morelos, Mexico 3Conacyt-Centro de Investigación en Salud Poblacional, INSP, Cuernavaca, Morelos, Mexico 4Departamento de Toxicología, Cinvestav-IPN, Mexico City, Mexico Correspondence to: Luisa Torres-Sánchez, email: [email protected] Keywords: genetic polymorphisms; MSMB; prostate cancer; rs10993994; sexually transmitted diseases Received: July 13, 2018 Accepted: December 16, 2018 Published: January 22, 2019 Copyright: Trujillo-Cáceres et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Sexually transmitted infections and its contribution to prostate cancer (PC) development have been relevant in different populations. MSMB gene polymorphism (rs10993994) has exhibited an association both with PC as well as the susceptibility to sexually transmitted infections. Hitherto, these conditions have been not studied in Mexico yet, neither if sexually transmitted infections could modify the MSMB and PC association. Herein, socio-demographic features, sexually transmitted infections records, the reproductive backgrounds, and the genetic characterisation were analysed in 322 incident PC cases and 628 population healthy controls from Mexico City. -
DF6720-MSMB Antibody
Affinity Biosciences website:www.affbiotech.com order:[email protected] MSMB Antibody Cat.#: DF6720 Concn.: 1mg/ml Mol.Wt.: 13kDa Size: 50ul,100ul,200ul Source: Rabbit Clonality: Polyclonal Application: WB 1:500-1:2000, IHC 1:50-1:200, ELISA(peptide) 1:20000-1:40000 *The optimal dilutions should be determined by the end user. Reactivity: Human,Mouse Purification: The antiserum was purified by peptide affinity chromatography using SulfoLink™ Coupling Resin (Thermo Fisher Scientific). Specificity: MSMB Antibody detects endogenous levels of total MSMB. Immunogen: A synthesized peptide derived from human MSMB, corresponding to a region within the internal amino acids. Uniprot: P08118 Description: The protein encoded by this gene is a member of the immunoglobulin binding factor family. It is synthesized by the epithelial cells of the prostate gland and secreted into the seminal plasma. This protein has inhibin-like activity. It may have a role as an autocrine paracrine factor in uterine, breast and other female reproductive tissues. The expression of the encoded protein is found to be decreased in prostate cancer. Two alternatively spliced transcript variants encoding different isoforms are described for this gene. The use of alternate polyadenylation sites has been found for this gene. Storage Condition and Rabbit IgG in phosphate buffered saline , pH 7.4, 150mM Buffer: NaCl, 0.02% sodium azide and 50% glycerol.Store at -20 °C.Stable for 12 months from date of receipt. Western blot analysis of HepG2 cell lysates, using MSMB Antibody. The lane on the left was treated with the antigen- specific peptide. 1 / 2 Affinity Biosciences website:www.affbiotech.com order:[email protected] DF6720 at 1/100 staining Mouse liver tissue by IHC-P. -
A Flexible Microfluidic System for Single-Cell Transcriptome Profiling
www.nature.com/scientificreports OPEN A fexible microfuidic system for single‑cell transcriptome profling elucidates phased transcriptional regulators of cell cycle Karen Davey1,7, Daniel Wong2,7, Filip Konopacki2, Eugene Kwa1, Tony Ly3, Heike Fiegler2 & Christopher R. Sibley 1,4,5,6* Single cell transcriptome profling has emerged as a breakthrough technology for the high‑resolution understanding of complex cellular systems. Here we report a fexible, cost‑efective and user‑ friendly droplet‑based microfuidics system, called the Nadia Instrument, that can allow 3′ mRNA capture of ~ 50,000 single cells or individual nuclei in a single run. The precise pressure‑based system demonstrates highly reproducible droplet size, low doublet rates and high mRNA capture efciencies that compare favorably in the feld. Moreover, when combined with the Nadia Innovate, the system can be transformed into an adaptable setup that enables use of diferent bufers and barcoded bead confgurations to facilitate diverse applications. Finally, by 3′ mRNA profling asynchronous human and mouse cells at diferent phases of the cell cycle, we demonstrate the system’s ability to readily distinguish distinct cell populations and infer underlying transcriptional regulatory networks. Notably this provided supportive evidence for multiple transcription factors that had little or no known link to the cell cycle (e.g. DRAP1, ZKSCAN1 and CEBPZ). In summary, the Nadia platform represents a promising and fexible technology for future transcriptomic studies, and other related applications, at cell resolution. Single cell transcriptome profling has recently emerged as a breakthrough technology for understanding how cellular heterogeneity contributes to complex biological systems. Indeed, cultured cells, microorganisms, biopsies, blood and other tissues can be rapidly profled for quantifcation of gene expression at cell resolution. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptNature. Author ManuscriptAuthor manuscript; Author Manuscript available in PMC 2015 June 11. Published in final edited form as: Nature. 2014 December 11; 516(7530): 242–245. doi:10.1038/nature13760. An evolutionary arms race between KRAB zinc finger genes 91/93 and SVA/L1 retrotransposons Frank MJ Jacobs1,§,*, David Greenberg1,2,¶,*, Ngan Nguyen1,3, Maximilian Haeussler1, Adam D Ewing1,¥, Sol Katzman1, Benedict Paten1, Sofie R Salama1,4, and David Haussler1,4,# 1Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America 2Molecular, Cell and Developmental Biology, of California Santa Cruz, Santa Cruz, California, United States of America 3Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America 4Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, California, United States of America Summary Throughout evolution, primate genomes have been modified by waves of retrotransposon insertions1,2,3. For each wave, the host eventually finds a way to repress retrotransposon transcription and prevent further insertions. In mouse embryonic stem cells (mESCs), transcriptional silencing of retrotransposons requires TRIM28 (KAP1) and it’s repressive complex, which can be recruited to target sites by KRAB zinc finger proteins such as murine- specific ZFP809 which binds to integrated murine leukemia virus DNA elements and recruits -
Insulin-Like Growth Factor Binding Protein-3 Exerts Its Anti-Metastatic Effect in Aerodigestive Tract Cancers by Disrupting the Protein Stability of Vimentin
cancers Article Insulin-Like Growth Factor Binding Protein-3 Exerts Its Anti-Metastatic Effect in Aerodigestive Tract Cancers by Disrupting the Protein Stability of Vimentin Huong Thuy Le 1,†,‡, Ho Jin Lee 1,†, Jaebeom Cho 1, Hye-Young Min 1, Ji-Sun Lee 1, Su-Jae Lee 2 and Ho-Young Lee 1,* 1 Creative Research Initiative Center for Concurrent Control of Emphysema and Lung Cancer, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Korea; [email protected] (H.T.L.); [email protected] (H.J.L.); [email protected] (J.C.); [email protected] (H.-Y.M.); [email protected] (J.-S.L.) 2 Department of Life Science, Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-2-880-9277; Fax: +82-2-6280-5327 † These two authors contributed equally to this work and should be considered as first author. ‡ Current Address: Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam. Simple Summary: Local invasion and distal metastasis are the main causes of cancer-related death and the poor prognosis of patients with aerodigestive tract cancers. Therefore, understanding the biology of invasion and metastasis is important for the development of effective therapeutic strategies. The present study shows that insulin-like growth factor binding protein-3 (IGFBP-3) inhibits the migration and invasion of non-small cell lung cancer (NSCLC) and head and neck squamous cell carcinoma (HNSCC) cells in vitro and the development of metastasized tumors in vivo. -
With Focus on the Genus Handleyomys and Related Taxa
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2015-04-01 Evolution and Biogeography of Mesoamerican Small Mammals: With Focus on the Genus Handleyomys and Related Taxa Ana Villalba Almendra Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Biology Commons BYU ScholarsArchive Citation Villalba Almendra, Ana, "Evolution and Biogeography of Mesoamerican Small Mammals: With Focus on the Genus Handleyomys and Related Taxa" (2015). Theses and Dissertations. 5812. https://scholarsarchive.byu.edu/etd/5812 This Dissertation is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Evolution and Biogeography of Mesoamerican Small Mammals: Focus on the Genus Handleyomys and Related Taxa Ana Laura Villalba Almendra A dissertation submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Duke S. Rogers, Chair Byron J. Adams Jerald B. Johnson Leigh A. Johnson Eric A. Rickart Department of Biology Brigham Young University March 2015 Copyright © 2015 Ana Laura Villalba Almendra All Rights Reserved ABSTRACT Evolution and Biogeography of Mesoamerican Small Mammals: Focus on the Genus Handleyomys and Related Taxa Ana Laura Villalba Almendra Department of Biology, BYU Doctor of Philosophy Mesoamerica is considered a biodiversity hot spot with levels of endemism and species diversity likely underestimated. For mammals, the patterns of diversification of Mesoamerican taxa still are controversial. Reasons for this include the region’s complex geologic history, and the relatively recent timing of such geological events. -
Association of Imputed Prostate Cancer Transcriptome with Disease Risk Reveals Novel Mechanisms
Corrected: Author Correction ARTICLE https://doi.org/10.1038/s41467-019-10808-7 OPEN Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms Nima C. Emami1,2, Linda Kachuri2, Travis J. Meyers2, Rajdeep Das3,4, Joshua D. Hoffman2, Thomas J. Hoffmann 2,5, Donglei Hu 5,6,7, Jun Shan8, Felix Y. Feng3,4,7, Elad Ziv5,6,7, Stephen K. Van Den Eeden 3,8 & John S. Witte1,2,3,5,7 1234567890():,; Here we train cis-regulatory models of prostate tissue gene expression and impute expression transcriptome-wide for 233,955 European ancestry men (14,616 prostate cancer (PrCa) cases, 219,339 controls) from two large cohorts. Among 12,014 genes evaluated in the UK Biobank, we identify 38 associated with PrCa, many replicating in the Kaiser Permanente RPGEH. We report the association of elevated TMPRSS2 expression with increased PrCa risk (independent of a previously-reported risk variant) and with increased tumoral expression of the TMPRSS2:ERG fusion-oncogene in The Cancer Genome Atlas, suggesting a novel germline-somatic interaction mechanism. Three novel genes, HOXA4, KLK1, and TIMM23, additionally replicate in the RPGEH cohort. Furthermore, 4 genes, MSMB, NCOA4, PCAT1, and PPP1R14A, are associated with PrCa in a trans-ethnic meta-analysis (N = 9117). Many genes exhibit evidence for allele-specific transcriptional activation by PrCa master-regulators (including androgen receptor) in Position Weight Matrix, Chip-Seq, and Hi-C experimental data, suggesting common regulatory mechanisms for the associated genes. 1 Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA 94158, USA. -
The Function and Evolution of C2H2 Zinc Finger Proteins and Transposons
The function and evolution of C2H2 zinc finger proteins and transposons by Laura Francesca Campitelli A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Molecular Genetics University of Toronto © Copyright by Laura Francesca Campitelli 2020 The function and evolution of C2H2 zinc finger proteins and transposons Laura Francesca Campitelli Doctor of Philosophy Department of Molecular Genetics University of Toronto 2020 Abstract Transcription factors (TFs) confer specificity to transcriptional regulation by binding specific DNA sequences and ultimately affecting the ability of RNA polymerase to transcribe a locus. The C2H2 zinc finger proteins (C2H2 ZFPs) are a TF class with the unique ability to diversify their DNA-binding specificities in a short evolutionary time. C2H2 ZFPs comprise the largest class of TFs in Mammalian genomes, including nearly half of all Human TFs (747/1,639). Positive selection on the DNA-binding specificities of C2H2 ZFPs is explained by an evolutionary arms race with endogenous retroelements (EREs; copy-and-paste transposable elements), where the C2H2 ZFPs containing a KRAB repressor domain (KZFPs; 344/747 Human C2H2 ZFPs) are thought to diversify to bind new EREs and repress deleterious transposition events. However, evidence of the gain and loss of KZFP binding sites on the ERE sequence is sparse due to poor resolution of ERE sequence evolution, despite the recent publication of binding preferences for 242/344 Human KZFPs. The goal of my doctoral work has been to characterize the Human C2H2 ZFPs, with specific interest in their evolutionary history, functional diversity, and coevolution with LINE EREs. -
A Chromosome Level Genome of Astyanax Mexicanus Surface Fish for Comparing Population
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title 2 A chromosome level genome of Astyanax mexicanus surface fish for comparing population- 3 specific genetic differences contributing to trait evolution. 4 5 Authors 6 Wesley C. Warren1, Tyler E. Boggs2, Richard Borowsky3, Brian M. Carlson4, Estephany 7 Ferrufino5, Joshua B. Gross2, LaDeana Hillier6, Zhilian Hu7, Alex C. Keene8, Alexander Kenzior9, 8 Johanna E. Kowalko5, Chad Tomlinson10, Milinn Kremitzki10, Madeleine E. Lemieux11, Tina 9 Graves-Lindsay10, Suzanne E. McGaugh12, Jeff T. Miller12, Mathilda Mommersteeg7, Rachel L. 10 Moran12, Robert Peuß9, Edward Rice1, Misty R. Riddle13, Itzel Sifuentes-Romero5, Bethany A. 11 Stanhope5,8, Clifford J. Tabin13, Sunishka Thakur5, Yamamoto Yoshiyuki14, Nicolas Rohner9,15 12 13 Authors for correspondence: Wesley C. Warren ([email protected]), Nicolas Rohner 14 ([email protected]) 15 16 Affiliation 17 1Department of Animal Sciences, Department of Surgery, Institute for Data Science and 18 Informatics, University of Missouri, Bond Life Sciences Center, Columbia, MO 19 2 Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 20 3 Department of Biology, New York University, New York, NY 21 4 Department of Biology, The College of Wooster, Wooster, OH 22 5 Harriet L. Wilkes Honors College, Florida Atlantic University, Jupiter FL 23 6 Department of Genome Sciences, University of Washington, Seattle, WA 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. -
Novel Gene Signatures Predictive of Patient Recurrence-Free Survival and Castration Resistance in Prostate Cancer Jun A, Baotong Zhang, Zhiqian Zhang, Jin-Tang Dong
Supplementary Materials: Novel Gene Signatures Predictive of Patient Recurrence-Free Survival and Castration Resistance in Prostate Cancer Jun A, Baotong Zhang, Zhiqian Zhang, Jin-Tang Dong Figure S1. Overlap differentially expressed genes (DEGs) between our study and previously re- ported microarray experiments. Figure S2. The diagnosis effectiveness of the six CRPCPS genes. ROC curves for the six CRPCPS genes in the training cohort (a) and the validation cohort (b). Cancers 2021, 13 S2 of S13 Figure S3. Evaluation of the CRPCPS in the internal validation cohort and the entire TCGA cohort. (a) Distribution of CRPCPS score (left), patients’ recurrent status (center), and expression profiles of the six CRPCPS genes (right) in the internal validation cohort. (b) Receiver operating character- istic (ROC) curves were used to evaluate the predictability of RFS at 3-, 5-, and 8-year by the CRPCPS score, Gleason score, and pathological tumor stage in the internal validation cohort. (c) Distribution of CRPCPS score (left), patients' survival status (center), and expression profiles of the six CRPCPS genes that constitute the CRPCPS (right) in the entire TCGA cohort. (d) Receiver oper- ating characteristic (ROC) curves were used to evaluate the predictability of RFS at 3-, 5-, and 8- year by the CRPCPS score, Gleason score, and pathological tumor stage in the entire TCGA cohort. Cancers 2021, 13 S3 of S13 Figure S4. Association of CRPCPS with tumor stage (a-d), Gleason score (e-h), and lymph node status (i-k) in different patient cohorts. Figure S5. Association of CRPCPS with patients’ age in the TCGA training cohort (a), the TCGA validation cohort (b), the entire TCGA cohort (c), the MSKCC cohort (d), the Cambridge cohort (GSE70768) (e), and the Belfast cohort (GSE116918) (f).