Repositório Da Universidade De Lisboa
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Investigation of Copy Number Variations on Chromosome 21 Detected by Comparative Genomic Hybridization
Li et al. Molecular Cytogenetics (2018) 11:42 https://doi.org/10.1186/s13039-018-0391-3 RESEARCH Open Access Investigation of copy number variations on chromosome 21 detected by comparative genomic hybridization (CGH) microarray in patients with congenital anomalies Wenfu Li, Xianfu Wang and Shibo Li* Abstract Background: The clinical features of Down syndrome vary among individuals, with those most common being congenital heart disease, intellectual disability, developmental abnormity and dysmorphic features. Complex combination of Down syndrome phenotype could be produced by partially copy number variations (CNVs) on chromosome 21 as well. By comparing individual with partial CNVs of chromosome 21 with other patients of known CNVs and clinical phenotypes, we hope to provide a better understanding of the genotype-phenotype correlation of chromosome 21. Methods: A total of 2768 pediatric patients sample collected at the Genetics Laboratory at Oklahoma University Health Science Center were screened using CGH Microarray for CNVs on chromosome 21. Results: We report comprehensive clinical and molecular descriptions of six patients with microduplication and seven patients with microdeletion on the long arm of chromosome 21. Patients with microduplication have varied clinical features including developmental delay, microcephaly, facial dysmorphic features, pulmonary stenosis, autism, preauricular skin tag, eye pterygium, speech delay and pain insensitivity. We found that patients with microdeletion presented with developmental delay, microcephaly, intrauterine fetal demise, epilepsia partialis continua, congenital coronary anomaly and seizures. Conclusion: Three patients from our study combine with four patients in public database suggests an association between 21q21.1 microduplication of CXADR gene and patients with developmental delay. One patient with 21q22.13 microdeletion of DYRK1A shows association with microcephaly and scoliosis. -
Cdk15 Igfals Lingo4 Gjb3 Tpbg Lrrc38 Serpinf1 Apod Trp73 Lama4 Chrnd Col9a1col11a1col5a2 Fgl2 Pitx2 Col2a1 Col3a1 Lamb3 Col24a1
Bnc2 Wdr72 Ptchd1 Abtb2 Spag5 Zfp385a Trim17 Ier2 Il1rapl1 Tpd52l1 Fam20a Car8 Syt5 Plxnc1 Sema3e Ndrg4 Snph St6galnac5 Mcpt2 B3galt2 Sphkap Arhgap24 Prss34 Lhfpl2 Ermap Rnf165 Shroom1 Grm4 Mobp Dock2 Tmem9b Slc35d3 Otud7b Serpinb3a Sh3d19 Syt6 Zan Trim67 Clec18a Mcoln1 Tob1 Slc45a2 Pcdhb9 Pcdh17 Plscr1 Gpr143 Cela1 Frem1 Sema3f Lgi2 Igsf9 Fjx1 Cpne4 Adgb Depdc7 Gzmm C1qtnf5 Capn11 Sema3c H2-T22 Unc5c Sytl4 Galnt5 Sytl2 Arhgap11a Pcdha1 Cdh20 Slc35f2 Trim29 B3gnt5 Dock5 Trim9 Padi4 Pcdh19 Abi2 Cldn11 Slitrk1 Fam13a Nrgn Cpa4 Clmp Il1rap Trpm1 Fat4 Nexn Pmel Mmp15 Fat3 H2-M5 Prss38 Wdr41 Prtg Mlana Mettl22 Tnrc6b Cdh6 Sema3b Ptgfrn Cldn1 Cntn4 Bcl2a1b Capn6 Capn5 Pcdhb19 Tcf15 Bmf Rgs8 Tecrl Tyrp1 Rhot1 Rnf123 Cldn6 Adam9 Hlx Rilpl1 Disp1 Atcay Vwc2 Fat2 Srpx2 Cldn3 Unc13c Creb3l1 Rab39b Robo3 Gpnmb Bves Orai2 Slc22a2 Prss8 Cdh10 Scg3 Adam33 Nyx Dchs1 Chmp4c Syt9 Ap1m2 Megf10 Cthrc1 Penk Igsf9b Akap2 Ltbp3 Dnmbp Tff2 Pnoc Vldlr Cpa3 Snx18 Capn3 Btla Htr1b Gm17231 Pcdh9Rab27a Grm8 Cnih2 Scube2 Id2 Reep1 Cpeb3 Mmp16 Slc18b1 Snx33 Clcn5 Cckbr Pkp2 Drp2 Mapk8ip1 Lrrc3b Cxcl14 Zfhx3 Esrp1 Prx Dock3 Sec14l1 Prokr1 Pstpip2 Usp2 Cpvl Syn2 Ntn1 Ptger1 Rxfp3 Tyr Snap91 Htr1d Mtnr1a Gadd45g Mlph Drd4 Foxc2 Cldn4 Birc7 Cdh17 Twist2 Scnn1b Abcc4 Pkp1 Dlk2 Rab3b Amph Mreg Il33 Slit2 Hpse Micu1 Creb3l2 Dsp Lifr S1pr5 Krt15 Svep1 Ahnak Kcnh1 Sphk1 Vwce Clcf1 Ptch2 Pmp22 Sfrp1 Sema6a Lfng Hs3st5 Efcab1 Tlr5 Muc5acKalrn Vwa2 Fzd8 Lpar6 Bmp5 Slc16a9 Cacng4 Arvcf Igfbp2 Mrvi1 Dusp15 Krt5 Atp13a5 Dsg1a Kcnj14 Edn3Memo1 Ngef Prickle2 Cma1 Alx4 Bmp3 Blnk GastAgtr2 -
V45n4a03.Pdf
Montoya JC/et al/Colombia Médica - Vol. 45 Nº4 2014 (Oct-Dec) Colombia Médica colombiamedica.univalle.edu.co Original Article Global differential expression of genes located in the Down Syndrome Critical Region in normal human brain Expresión diferencial global de genes localizados en la Región Crítica del Síndrome de Down en el cerebro humano normal Julio Cesar Montoya1,3, Dianora Fajardo2, Angela Peña2 , Adalberto Sánchez1, Martha C Domínguez1,2, José María Satizábal1, Felipe García-Vallejo1,2 1 Department of Physiological Sciences, School of Basic Sciences, Faculty of Health, Universidad del Valle. 2 Laboratory of Molecular Biology and Pathogenesis LABIOMOL. Universidad del Valle, Cali, Colombia. 3 Faculty of Basic Sciences, Universidad Autónoma de Occidente, Cali, Colombia. Montoya JC , Fajardo D, Peña A , Sánchez A, Domínguez MC, Satizábal JM, García-Vallejo F.. Global differential expression of genes located in the Down Syndrome Critical Region in normal human brain. Colomb Med. 2014; 45(4): 154-61. © 2014 Universidad del Valle. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Article history Abstract Resumen Background: The information of gene expression obtained from Introducción: La información de la expresión de genes consignada Received: 2 July 2014 Revised: 10 November 2014 databases, have made possible the extraction and analysis of data en bases de datos, ha permitido extraer y analizar información acerca Accepted: 19 December 2014 related with several molecular processes involving not only in procesos moleculares implicados tanto en la homeostasis cerebral y su brain homeostasis but its disruption in some neuropathologies; alteración en algunas neuropatologías. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Associated 16P11.2 Deletion in Drosophila Melanogaster
ARTICLE DOI: 10.1038/s41467-018-04882-6 OPEN Pervasive genetic interactions modulate neurodevelopmental defects of the autism- associated 16p11.2 deletion in Drosophila melanogaster Janani Iyer1, Mayanglambam Dhruba Singh1, Matthew Jensen1,2, Payal Patel 1, Lucilla Pizzo1, Emily Huber1, Haley Koerselman3, Alexis T. Weiner 1, Paola Lepanto4, Komal Vadodaria1, Alexis Kubina1, Qingyu Wang 1,2, Abigail Talbert1, Sneha Yennawar1, Jose Badano 4, J. Robert Manak3,5, Melissa M. Rolls1, Arjun Krishnan6,7 & 1234567890():,; Santhosh Girirajan 1,2,8 As opposed to syndromic CNVs caused by single genes, extensive phenotypic heterogeneity in variably-expressive CNVs complicates disease gene discovery and functional evaluation. Here, we propose a complex interaction model for pathogenicity of the autism-associated 16p11.2 deletion, where CNV genes interact with each other in conserved pathways to modulate expression of the phenotype. Using multiple quantitative methods in Drosophila RNAi lines, we identify a range of neurodevelopmental phenotypes for knockdown of indi- vidual 16p11.2 homologs in different tissues. We test 565 pairwise knockdowns in the developing eye, and identify 24 interactions between pairs of 16p11.2 homologs and 46 interactions between 16p11.2 homologs and neurodevelopmental genes that suppress or enhance cell proliferation phenotypes compared to one-hit knockdowns. These interac- tions within cell proliferation pathways are also enriched in a human brain-specific network, providing translational relevance in humans. Our study indicates a role for pervasive genetic interactions within CNVs towards cellular and developmental phenotypes. 1 Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA. 2 Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Cyclin-Dependent Kinase 2 (Cdk2) Controls Phosphatase-Regulated Signaling and Function in Platelets
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.31.126953; this version posted June 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Cyclin-dependent kinase 2 (Cdk2) controls phosphatase-regulated signaling and function in platelets Paul R. Woods, Jr.,1,2 Brian L. Hood5, Sruti Shiva,$4 Thomas P. Conrads5, Sarah Suchko,2 Richard Steinman, 1,2,4# Departments oF Medicine1, Hillman Cancer Center2, Vascular Medicine Institute3, Department oF Molecular Pharmacology and Chemical Biology4, University of Pittsburgh School of Medicine; The Henry M. Jackson Foundation For the Advancement of Military Medicine, Inc., Inova Women’s Service Line, Inova Health System5 #Corresponding author: Richard Steinman, MD, PhD Associate Professor of Medicine and Pharmacology Associate Dean, Director Medical Scientist Training Program Director, Physician Scientist Training Program University of Pittsburgh School of Medicine 2.26f Hillman Cancer Center 5117 Centre Avenue Pittsburgh, PA 15213 USA phone: 412 6233237 fax: 412 6234840 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.05.31.126953; this version posted June 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Cell cycle regulatory molecules including cyclin-dependent kinases can be recruited into non-nuclear pathways to coordinate cell cycling with the energetic state oF the cell or with Functions such as motility. -
SHOC2–MRAS–PP1 Complex Positively Regulates RAF Activity and Contributes to Noonan Syndrome Pathogenesis
SHOC2–MRAS–PP1 complex positively regulates RAF activity and contributes to Noonan syndrome pathogenesis Lucy C. Younga,1, Nicole Hartiga,2, Isabel Boned del Ríoa, Sibel Saria, Benjamin Ringham-Terrya, Joshua R. Wainwrighta, Greg G. Jonesa, Frank McCormickb,3, and Pablo Rodriguez-Vicianaa,3 aUniversity College London Cancer Institute, University College London, London WC1E 6DD, United Kingdom; and bHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158 Contributed by Frank McCormick, September 18, 2018 (sent for review November 22, 2017; reviewed by Deborah K. Morrison and Marc Therrien) Dephosphorylation of the inhibitory “S259” site on RAF kinases CRAF/RAF1 mutations are also frequently found in NS and (S259 on CRAF, S365 on BRAF) plays a key role in RAF activation. cluster around the S259 14-3-3 binding site, enhancing CRAF ac- The MRAS GTPase, a close relative of RAS oncoproteins, interacts tivity through disruption of 14-3-3 binding (8) and highlighting the with SHOC2 and protein phosphatase 1 (PP1) to form a heterotri- key role of this regulatory step in RAF–ERK pathway activation. meric holoenzyme that dephosphorylates this S259 RAF site. MRAS is a very close relative of the classical RAS oncoproteins MRAS and SHOC2 function as PP1 regulatory subunits providing (H-, N-, and KRAS, hereafter referred to collectively as “RAS”) the complex with striking specificity against RAF. MRAS also func- and shares most regulatory and effector interactions as well as tions as a targeting subunit as membrane localization is required transforming ability (9–11). However, MRAS also has specific for efficient RAF dephosphorylation and ERK pathway regulation functions of its own, and uniquely among RAS family GTPases, it in cells. -
Pig Antibodies
Pig Antibodies gene_name sku Entry_Name Protein_Names Organism Length Identity CDX‐2 ARP31476_P050 D0V4H7_PIG Caudal type homeobox 2 (Fragment) Sus scrofa (Pig) 147 100.00% CDX‐2 ARP31476_P050 A7MAE3_PIG Caudal type homeobox transcription factor 2 (Fragment) Sus scrofa (Pig) 75 100.00% Tnnt3 ARP51286_P050 Q75NH3_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 271 85.00% Tnnt3 ARP51286_P050 Q75NH2_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 266 85.00% Tnnt3 ARP51286_P050 Q75NH1_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 260 85.00% Tnnt3 ARP51286_P050 Q75NH0_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 250 85.00% Tnnt3 ARP51286_P050 Q75NG8_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 266 85.00% Tnnt3 ARP51286_P050 Q75NG7_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 260 85.00% Tnnt3 ARP51286_P050 Q75NG6_PIG Troponin T fast skeletal muscle type Sus scrofa (Pig) 250 85.00% Tnnt3 ARP51286_P050 TNNT3_PIG Troponin T, fast skeletal muscle (TnTf) Sus scrofa (Pig) 271 85.00% ORF Names:PANDA_000462 EMBL EFB13877.1OrganismAiluropod High mobility group protein B2 (High mobility group protein a melanoleuca (Giant panda) ARP31939_P050 HMGB2_PIG 2) (HMG‐2) Sus scrofa (Pig) 210 100.00% Agpat5 ARP47429_P050 B8XTR3_PIG 1‐acylglycerol‐3‐phosphate O‐acyltransferase 5 Sus scrofa (Pig) 365 85.00% irf9 ARP31200_P050 Q29390_PIG Transcriptional regulator ISGF3 gamma subunit (Fragment) Sus scrofa (Pig) 57 100.00% irf9 ARP31200_P050 Q0GFA1_PIG Interferon regulatory factor 9 Sus scrofa (Pig) -
Effects of Chronic Stress on Prefrontal Cortex Transcriptome in Mice Displaying Different Genetic Backgrounds
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector J Mol Neurosci (2013) 50:33–57 DOI 10.1007/s12031-012-9850-1 Effects of Chronic Stress on Prefrontal Cortex Transcriptome in Mice Displaying Different Genetic Backgrounds Pawel Lisowski & Marek Wieczorek & Joanna Goscik & Grzegorz R. Juszczak & Adrian M. Stankiewicz & Lech Zwierzchowski & Artur H. Swiergiel Received: 14 May 2012 /Accepted: 25 June 2012 /Published online: 27 July 2012 # The Author(s) 2012. This article is published with open access at Springerlink.com Abstract There is increasing evidence that depression signaling pathway (Clic6, Drd1a,andPpp1r1b). LA derives from the impact of environmental pressure on transcriptome affected by CMS was associated with genetically susceptible individuals. We analyzed the genes involved in behavioral response to stimulus effects of chronic mild stress (CMS) on prefrontal cor- (Fcer1g, Rasd2, S100a8, S100a9, Crhr1, Grm5,and tex transcriptome of two strains of mice bred for high Prkcc), immune effector processes (Fcer1g, Mpo,and (HA)and low (LA) swim stress-induced analgesia that Igh-VJ558), diacylglycerol binding (Rasgrp1, Dgke, differ in basal transcriptomic profiles and depression- Dgkg,andPrkcc), and long-term depression (Crhr1, like behaviors. We found that CMS affected 96 and 92 Grm5,andPrkcc) and/or coding elements of dendrites genes in HA and LA mice, respectively. Among genes (Crmp1, Cntnap4,andPrkcc) and myelin proteins with the same expression pattern in both strains after (Gpm6a, Mal,andMog). The results indicate significant CMS, we observed robust upregulation of Ttr gene contribution of genetic background to differences in coding transthyretin involved in amyloidosis, seizures, stress response gene expression in the mouse prefrontal stroke-like episodes, or dementia. -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942