DOCSLIB.ORG

393LN V 393P 344SQ V 393P Probe Set Entrez Gene

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393 LN only BB182297 0.001123 2.999853 0.0773 1.753034 RIKEN cDNA 1423853_at 76161 6330527O06R 1 - up 393 LN only 6330527O06 gene 0.005902 4.013889 0.6354 1.744792 zinc finger and BTB domain containing 10 /// similar to zinc finger and BTB domain containing 1436067_at 229055 // Zbtb10 /// LOC 1 - up 393 LN only 10 2.21E-05 2.610234 0.10709 1.688034 zinc finger, DHHC 1455368_at 69035 Zdhhc3 1 - up 393 LN only domain containing 3 8.69E-05 2.506496 0.06777 1.639498 1452857_at --- --- 1 - up 393 LN only --- 0.00062 2.921152 0.00275 1.591588 RIKEN cDNA 1453375_at 76871 4930422N03Ri1 - up 393 LN only 4930422N03 gene 8.25E-05 2.422089 0.03009 1.564106 RWD domain 1430167_a_at 73170 Rwdd3 1 - up 393 LN only containing 3 0.000497 2.158135 0.19453 1.522726 zinc finger, X-linked, duplicated A /// similar to Zinc finger X-linked protein 1444595_at 668171 // Zxda /// LOC661 - up 393 LN only ZXDA 0.005966 2.409508 0.09151 1.511482 1457577_at --- --- 1 - up 393 LN only --- 0.008635 3.270127 0.9824 1.503474 ELOVL family member 7, elongation of long chain fatty acids 1440312_at 74559 Elovl7 1 - up 393 LN only (yeast) 0.000744 2.137495 0.03381 1.47027 RIKEN cDNA 1460107_at 330577 1700129I04Rik1 - up 393 LN only 1700129I04 gene 0.009676 2.112971 0.2904 1.462082 RIKEN cDNA 1460178_at 66887 1300002A08Ri 1 - up 393 LN only 1300002A08 gene 0.000398 2.367794 0.07672 1.459048 RIKEN cDNA 1434232_a_at 67048 2610030H06Ri1 - up 393 LN only 2610030H06 gene 0.000117 2.367624 0.00136 1.446903 RAN binding protein 1445883_at 19386 Ranbp2 1 - up 393 LN only 2 0.005392 3.849845 0.63772 1.428019 nuclear transport 1449017_at 68051 Nutf2 1 - up 393 LN only factor 2 0.000155 2.046963 0.00739 1.418209 RIKEN cDNA 1434870_at 66523 2810004N23Ri1 - up 393 LN only 2810004N23 gene 0.001229 2.138042 0.07972 1.410107 1454625_at 70998 Phf6 1 - up 393 LN only PHD finger protein 6 0.000167 2.006085 0.00578 1.409993 heparan sulfate (glucosamine) 3-O- 1435622_at 15478 Hs3st3a1 1 - up 393 LN only sulfotransferase 3A1 0.003189 2.004507 0.09586 1.408886 1425172_at 212541 Rho 1 - up 393 LN only rhodopsin 0.004979 3.513026 0.98944 1.405812 tRNA methyltranferase 12 homolog (S. 1430537_at 68260 Trmt12 1 - up 393 LN only cerevisiae) 0.009989 6.230278 1 1.401023 non-catalytic region of tyrosine kinase 1447271_at 17973 Nck1 1 - up 393 LN only adaptor protein 1 0.002496 1.933052 0.96191 1.397223 RIKEN cDNA 1418384_at 68117 9430083G14R 1 - up 393 LN only 9430083G14 gene 0.001978 2.097288 0.05514 1.396671 cleavage and polyadenylation 1420936_s_at 51786 Cpsf2 1 - up 393 LN only specific factor 2 0.002928 2.176774 0.07287 1.392015 nucleosome binding 1418152_at 50887 Nsbp1 1 - up 393 LN only protein 1 0.005352 2.607296 0.04863 1.383277 TBC1 domain family, 1435292_at 210789 Tbc1d4 1 - up 393 LN only member 4 0.001834 1.942539 0.33479 1.373709 TNFRSF1A- associated via death 1429117_at 71609 Tradd 1 - up 393 LN only domain 0.002897 2.119899 0.11415 1.373465 RWD domain 1451809_s_at 73170 Rwdd3 1 - up 393 LN only containing 3 0.000983 1.843427 0.1859 1.371235 RIKEN cDNA 1418732_s_at 67836 1500041N16Ri1 - up 393 LN only 1500041N16 gene 0.003433 1.974302 0.09934 1.370555 programmed cell 1418127_a_at 26926 Pdcd8 1 - up 393 LN only death 8 0.000158 1.892441 0.03143 1.362078 growth factor receptor bound protein 2-associated 1426589_at 210710 Gab3 1 - up 393 LN only protein 3 0.009151 1.869349 0.18953 1.360899 1434952_at 18117 Cox4nb 1 - up 393 LN only COX4 neighbor 0.006898 1.768981 0.19208 1.355266 proliferation- 1420142_s_at 18813 Pa2g4 1 - up 393 LN only associated 2G4 0.00115 1.944031 0.02386 1.354887 TATA box binding protein (Tbp)- associated factor, 1423483_s_at 21341 Taf1c 1 - up 393 LN only RNA polymerase I, C 0.000817 2.130636 0.0457 1.35166 G1 to S phase 1455173_at 14852 Gspt1 1 - up 393 LN only transition 1 0.004005 1.83883 0.06863 1.351626 programmed cell death 6 interacting 1415937_s_at 18571 Pdcd6ip 1 - up 393 LN only protein 0.001589 1.845318 0.08878 1.346551 DnaJ (Hsp40) homolog, subfamily 1417182_at 56445 Dnaja2 1 - up 393 LN only A, member 2 0.000151 2.281091 0.1553 1.346201 mitogen-activated protein kinase kinase kinase kinase 1427084_a_at 399510 Map4k5 1 - up 393 LN only 5 0.00096 2.147488 0.04999 1.341439 membrane-bound transcription factor 1436883_at 270669 Mbtps2 1 - up 393 LN only peptidase, site 2 0.001076 1.80863 0.06545 1.338257 RIKEN cDNA 1434233_at 67048 2610030H06Ri1 - up 393 LN only 2610030H06 gene 0.000319 1.950389 0.00592 1.337195 1426463_at 268566 Gphn 1 - up 393 LN only gephyrin 0.009157 2.091449 0.23189 1.335958 RIKEN cDNA 1434699_at 217558 6030408C04Ri1 - up 393 LN only 6030408C04 gene 0.00187 1.921027 0.04138 1.333538 suppressor of hairy wing homolog 3 1427983_at 208968 Suhw3 1 - up 393 LN only (Drosophila) 0.000574 2.133975 0.02062 1.3317 RIKEN cDNA 1419687_at 107227 D930010J01Ri 1 - up 393 LN only D930010J01 gene 0.001651 2.038994 0.02113 1.331222 RIKEN cDNA 1439131_at 353170 4932441K18Ri 1 - up 393 LN only 4932441K18 gene 0.000432 2.497289 0.04961 1.322917 Casitas B-lineage 1437203_at 104836 Cbll1 1 - up 393 LN only lymphoma-like 1 0.002398 1.995673 0.13787 1.321443 glutaryl-Coenzyme A 1448717_at 270076 Gcdh 1 - up 393 LN only dehydrogenase 0.001656 1.812838 0.04061 1.320628 methyl CpG binding 1449266_at 17257 Mecp2 1 - up 393 LN only protein 2 0.003264 1.731564 0.20782 1.315433 TSR2, 20S rRNA accumulation, homolog (S. 1426939_at 69499 Tsr2 1 - up 393 LN only cerevisiae) 0.002791 1.912267 0.15258 1.309596 YLP motif containing 1443773_at 56531 Ylpm1 1 - up 393 LN only 1 0.0034 1.932832 0.27178 1.304508 ring finger protein 1428415_at 66381 Rnf113a2 1 - up 393 LN only 113A2 0.002152 2.146608 0.03041 1.302093 protein arginine N- 1451248_at 214572 Prmt7 1 - up 393 LN only methyltransferase 7 0.00066 2.151487 0.12218 1.301213 cDNA sequence 1451400_at 237221 BC023488 1 - up 393 LN only BC023488 0.007667 1.964082 0.07994 1.297829 splicing factor, 1416721_s_at 67996 Sfrs6 1 - up 393 LN only arginine/serine-rich 6 0.00016 1.757945 0.09721 1.296628 HCF-binding transcription factor 1452856_at 233490 Zf 1 - up 393 LN only Zhangfei 0.001244 2.003237 0.01742 1.293312 NIN1/RPN12 binding protein 1 homolog 1454957_at 67619 Nob1 1 - up 393 LN only (S. cerevisiae) 0.000643 1.981012 0.1341 1.290964 1430979_a_at 21672 Prdx2 1 - up 393 LN only peroxiredoxin 2 3.77E-05 1.861295 0.16116 1.288833 deoxyhypusine 1434003_a_at 330817 Dhps 1 - up 393 LN only synthase 0.000571 1.996662 0.21378 1.28727 B-cell receptor- associated protein 1417077_at 12033 Bcap29 1 - up 393 LN only 29 0.003306 2.141084 0.06873 1.281952 isocitrate dehydrogenase 3 1416789_at 15929 Idh3g 1 - up 393 LN only (NAD+), gamma 0.008423 1.676854 0.04985 1.281719 autophagy-related 4A (yeast) /// similar to Cysteine protease ATG4A (Autophagy- related protein 4 homolog A) (Autophagin-2) (Autophagy-related cysteine endopeptidase 2) (AUT-like 2 cysteine endopeptidase) /// similar to Cysteine protease ATG4A (Autophagy-related protein 4 homolog A) (Autophagin-2) (Autophagy-related cysteine endopeptidase 2) (AUT-like 2 cysteine 1434662_at 103003 // Atg4a /// LOC6 1 - up 393 LN only endopeptidase) 0.001833 1.661673 0.01474 1.27908 lysyl-tRNA synthetase /// similar to lysyl-tRNA 1416068_at 631033 // Kars /// LOC63 1 - up 393 LN only synthetase 0.004005 1.727773 0.05616 1.279074 ATP-binding cassette, sub-family 1419572_a_at 19300 Abcd4 1 - up 393 LN only D (ALD), member 4 0.006188 1.881255 0.05932 1.278023 RIKEN cDNA 1429984_at 70567 5730455O13R 1 - up 393 LN only 5730455O13 gene 0.008739 2.044919 0.18566 1.275353 1437743_at 11569 Aebp2 1 - up 393 LN only AE binding protein 2 0.005685 1.843111 0.14235 1.269637 zinc finger and BTB domain containing 1434022_at 56805 Zbtb33 1 - up 393 LN only 33 0.001137 1.642324 0.02204 1.26761 zinc finger protein 1418397_at 27081 Zfp275 1 - up 393 LN only 275 2.03E-05 1.859679 0.02755 1.265593 RIKEN cDNA 1423358_at 66275 1810009K13Ri 1 - up 393 LN only 1810009K13 gene 0.00226 1.987081 0.02411 1.263178 preimplantation 1423168_at 19070 Prei3 1 - up 393 LN only protein 3
Recommended publications
  • Molecular Genetic Delineation of 2Q37.3 Deletion in Autism and Osteodystrophy: Report of a Case and of New Markers for Deletion Screening by PCR

    Molecular Genetic Delineation of 2Q37.3 Deletion in Autism and Osteodystrophy: Report of a Case and of New Markers for Deletion Screening by PCR

    UC Irvine UC Irvine Previously Published Works Title Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR. Permalink https://escholarship.org/uc/item/83f0x61r Journal Cytogenetics and cell genetics, 94(1-2) ISSN 0301-0171 Authors Smith, M Escamilla, JR Filipek, P et al. Publication Date 2001 DOI 10.1159/000048775 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Original Article Cytogenet Cell Genet 94:15–22 (2001) Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR M. Smith, J.R. Escamilla, P. Filipek, M.E. Bocian, C. Modahl, P. Flodman, and M.A. Spence Department of Pediatrics, University of California, Irvine CA (USA) Abstract. We recently studied a patient who meets criteria us to determine the parental origin of the deletion in our for autistic disorder and has a 2q37 deletion. Molecular cyto- patient. DNA from 8–13 unrelated individuals was used to genetic studies were carried out using DNA isolated from 22 determine heterozygosity estimates for these markers. We re- different 2q37 mapped BACs to more precisely define the view four genes deleted in our patient – genes whose known extent of the chromosome deletion. We also analyzed 2q37 functions and sites of expression in the brain and/or bone make mapped polymorphic markers. In addition DNA sequences of them candidates for involvement in autism and/or the osteo- BACs in the deletion region were scanned to identify microsa- dystrophy observed in patients with 2q37.3 deletions.
  • Mouse Germ Line Mutations Due to Retrotransposon Insertions Liane Gagnier1, Victoria P

    Mouse Germ Line Mutations Due to Retrotransposon Insertions Liane Gagnier1, Victoria P

    Gagnier et al. Mobile DNA (2019) 10:15 https://doi.org/10.1186/s13100-019-0157-4 REVIEW Open Access Mouse germ line mutations due to retrotransposon insertions Liane Gagnier1, Victoria P. Belancio2 and Dixie L. Mager1* Abstract Transposable element (TE) insertions are responsible for a significant fraction of spontaneous germ line mutations reported in inbred mouse strains. This major contribution of TEs to the mutational landscape in mouse contrasts with the situation in human, where their relative contribution as germ line insertional mutagens is much lower. In this focussed review, we provide comprehensive lists of TE-induced mouse mutations, discuss the different TE types involved in these insertional mutations and elaborate on particularly interesting cases. We also discuss differences and similarities between the mutational role of TEs in mice and humans. Keywords: Endogenous retroviruses, Long terminal repeats, Long interspersed elements, Short interspersed elements, Germ line mutation, Inbred mice, Insertional mutagenesis, Transcriptional interference Background promoter and polyadenylation motifs and often a splice The mouse and human genomes harbor similar types of donor site [10, 11]. Sequences of full-length ERVs can TEs that have been discussed in many reviews, to which encode gag, pol and sometimes env, although groups of we refer the reader for more in depth and general infor- LTR retrotransposons with little or no retroviral hom- mation [1–9]. In general, both human and mouse con- ology also exist [6–9]. While not the subject of this re- tain ancient families of DNA transposons, none view, ERV LTRs can often act as cellular enhancers or currently active, which comprise 1–3% of these genomes promoters, creating chimeric transcripts with genes, and as well as many families or groups of retrotransposons, have been implicated in other regulatory functions [11– which have caused all the TE insertional mutations in 13].
  • Seq2pathway Vignette

    Seq2pathway Vignette

    seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway.
  • Sex-Specific Hippocampal 5-Hydroxymethylcytosine Is Disrupted in Response to Acute Stress Ligia A

    Sex-Specific Hippocampal 5-Hydroxymethylcytosine Is Disrupted in Response to Acute Stress Ligia A

    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications, Department of Statistics Statistics, Department of 2016 Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress Ligia A. Papale University of Wisconsin, [email protected] Sisi Li University of Wisconsin, [email protected] Andy Madrid University of Wisconsin, [email protected] Qi Zhang University of Nebraska-Lincoln, [email protected] Li Chen Emory University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/statisticsfacpub Part of the Other Statistics and Probability Commons Papale, Ligia A.; Li, Sisi; Madrid, Andy; Zhang, Qi; Chen, Li; Chopra, Pankaj; Jin, Peng; Keles, Sunduz; and Alisch, Reid S., "Sex- specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress" (2016). Faculty Publications, Department of Statistics. 62. https://digitalcommons.unl.edu/statisticsfacpub/62 This Article is brought to you for free and open access by the Statistics, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications, Department of Statistics by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Ligia A. Papale, Sisi Li, Andy Madrid, Qi Zhang, Li Chen, Pankaj Chopra, Peng Jin, Sunduz Keles, and Reid S. Alisch This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/statisticsfacpub/62 Neurobiology of Disease 96 (2016) 54–66 Contents lists available at ScienceDirect Neurobiology of Disease journal homepage: www.elsevier.com/locate/ynbdi Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress Ligia A. Papale a,1,SisiLia,c,1, Andy Madrid a,c,QiZhangd,LiChene,PankajChoprae,PengJine, Sündüz Keleş b, Reid S.
  • Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2

    Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2

    Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491
  • ACSL6 (C) Antibody, Rabbit Polyclonal

    ACSL6 (C) Antibody, Rabbit Polyclonal

    Order: (888)-282-5810 (Phone) (818)-707-0392 (Fax) [email protected] Web: www.Abiocode.com ACSL6 (C) Antibody, Rabbit Polyclonal Cat#: R2712-2 Lot#: Refer to vial Quantity: 100 ul Application: WB Predicted I Observed M.W.: 78 kDa Uniprot ID: Q9UKU0 Background: Activation of long-chain fatty acids for both synthesis of cellular lipids, and degradation via beta- oxidation. ACSL6 plays an important role in fatty acid metabolism in brain and the acyl-CoAs produced may be utilized exclusively for the synthesis of the brain lipid. Translocations with the ETV6 gene are causes of myelodysplastic syndrome with basophilia, acute myelogenous leukemia with eosinophilia, and acute eosinophilic leukemia. Other Names: Long-chain-fatty-acid--CoA ligase 6, Long-chain acyl-CoA synthetase 6, LACS 6, ACS2, FACL6, KIAA0837, LACS5 Source and Purity: Rabbit polyclonal antibodies were produced by immunizing animals with a GST-fusion protein containing C-terminal region of human ACSL6. Antibodies were purified by affinity purification using immunogen. Storage Buffer and Condition: Supplied in 1 x PBS (pH 7.4), 100 ug/ml BSA, 40% Glycerol, 0.01% NaN3. Store at -20 °C. Stable for 6 months from date of receipt. Species Specificity: Human, Mouse Tested Applications: WB: 1:1,000-1:3,000 (detect endogenous protein*) *: The apparent protein size on WB may be different from the calculated M.W. due to modifications. For research use only. Not for therapeutic or diagnostic purposes. Abiocode, Inc., 29397 Agoura Rd., Ste 106, Agoura Hills, CA 91301 Order: (888)-282-5810 (Phone) (818)-707-0392 (Fax) [email protected] Web: www.Abiocode.com Product Data: kDa A B C 175 80 58 46 Fig 1.
  • Bioinformatics Analyses of Genomic Imprinting

    Bioinformatics Analyses of Genomic Imprinting

    Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________
  • 1 Supporting Information for a Microrna Network Regulates

    1 Supporting Information for a Microrna Network Regulates

    Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia.
  • Noelia Díaz Blanco

    Noelia Díaz Blanco

    Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr.
  • 1 Genetic Determinants of Interventricular Septal Anatomy and the Risk of Ventricular Septal

    1 Genetic Determinants of Interventricular Septal Anatomy and the Risk of Ventricular Septal

    medRxiv preprint doi: https://doi.org/10.1101/2021.04.19.21255650; this version posted April 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Genetic determinants of interventricular septal anatomy and the risk of ventricular septal 2 defects and hypertrophic cardiomyopathy. 3 4 Mengyao Yu PhD1,2*, Andrew R. Harper MRCP DPhil3,4,5*, Matthew Aguirre AB1,6, Maureen 5 Pittman 7,8, Catherine Tcheandjieu DVM PhD1,2,9, Dulguun Amgalan PhD10,11, Christopher 6 Grace PhD3,4, Anuj Goel MBBS MSc3,4, Martin Farrall FRCPath3,4, Ke Xiao MS12, Jesse 7 Engreitz PhD10,11, Katherine Pollard PhD7,8,13, Hugh Watkins MD PhD3,4, James R. Priest 8 MD1,2,13,14 9 10 Affiliations: 11 1) Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School 12 of Medicine, Stanford, California, USA 13 2) Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA 14 3) Radcliffe Department of Medicine, University of Oxford, Division of Cardiovascular 15 Medicine, John Radcliffe Hospital, Oxford, UK. 16 4) Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford, UK. 17 5) Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, 18 AstraZeneca, Cambridge, UK 19 6) Department of Biomedical Data Science, Stanford Medical School 20 7) University of California, San Francisco, San Francisco, CA, USA 21 8) Gladstone
  • Human Pigmentation Genes Under Environmental Selection Richard a Sturm1,* and David L Duffy2

    Human Pigmentation Genes Under Environmental Selection Richard a Sturm1,* and David L Duffy2

    CORE Metadata, citation and similar papers at core.ac.uk Provided by University of Queensland eSpace Sturm and Duffy Genome Biology 2012, 13:248 http://genomebiology.com/2012/13/9/248 revw Ie Human pigmentation genes under environmental selection Richard A Sturm1,* and David L Duffy2 Abstract the iridial melanocytes of the eye [3]. Variations in genes within this pathway are therefore in a position to be Genome-wide association studies and comparative pleiotropic in action, causing skin, hair and eye color to genomics have established major loci and specific become correlated, for example, in Northern European polymorphisms affecting human skin, hair and eye populations with a high frequency of light hair, light skin color. Environmental changes have had an impact and blue eyes or equatorial Africans with dark com plexion, on selected pigmentation genes as populations have dark hair and brown eye color. However, since melanocytes expanded into different regions of the globe. located in these three compartments repre sent indepen­ dent cellular populations [4] with alternative regulatory or signaling pathways [5], trait­specific variants also occur, Introduction producing assorted phenotypic com binations such as dark Skin, hair and eye color vary dramatically among hair, light skin and blue eyes common in Europeans or the geographically and temporally separated human light hair, dark skin and brown eyes seen in Solomon populations. It has long been speculated that this is due Islanders. Another example of this is the sensitivity of to adaptive changes, but the genetic causes and follicular melanocytes to aging, gradually producing a environmental selective pressures underlying this range silver­gray to white hair color, indicating a loss of cells of phenotypic variation have remained largely unknown.
  • Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?

    Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?

    Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.