Table S4. Proteins in the First and Secondary Interactomes of Beta-Catenin
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Thesis Template
Functional and Structural Characterization Reveals Novel FBXW7 Biology by Tonny Chao Huang A thesis submitted in conformity with the requirements for the degree of Master of Science Department of Medical Biophysics University of Toronto © Copyright by Tonny Chao Huang 2018 Functional and Structural Characterization Reveals Novel FBXW7 Biology Tonny Chao Huang Master of Science Department of Medical Biophysics University of Toronto 2018 Abstract This thesis aims to examine aspects of FBXW7 biology, a protein that is frequently mutated in a variety of cancers. The first part of this thesis describes the characterization of FBXW7 isoform and mutant substrate profiles using a proximity-dependent biotinylation assay. Isoform-specific substrates were validated, revealing the involvement of FBXW7 in the regulation of several protein complexes. Characterization of FBXW7 mutants also revealed site- and residue-specific consequences on the binding of substrates and, surprisingly, possible neo-substrates. In the second part of this thesis, we utilize high-throughput peptide binding assays and statistical modelling to discover novel features of the FBXW7-binding phosphodegron. In contrast to the canonical motif, a possible preference of FBXW7 for arginine residues at the +4 position was discovered. I then attempted to validate this feature in vivo and in vitro on a novel substrate discovered through BioID. ii Acknowledgments The past three years in the Department of Medical Biophysics have defied expectations. I not only had the opportunity to conduct my own independent research, but also to work with distinguished collaborators and to explore exciting complementary fields. I experienced the freedom to guide my own academic development, as well as to pursue my extracurricular interests. -
Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Prevalence and Functional Analysis of Sequence Variants in the ATR Checkpoint Mediator Claspin
Published OnlineFirst September 8, 2009; DOI: 10.1158/1541-7786.MCR-09-0033 Prevalence and Functional Analysis of Sequence Variants in the ATR Checkpoint Mediator Claspin Jianmin Zhang,1 Young-Han Song,1 Brian W. Brannigan,1 Doke C.R. Wahrer,1 Taryn A. Schiripo,1 Patricia L. Harris,1 Sara M. Haserlat,1 Lindsey E. Ulkus,1 Kristen M. Shannon,1 Judy E. Garber,2 Matthew L. Freedman,3 Brian E. Henderson,4 Lee Zou,1 Dennis C. Sgroi,1 Daniel A. Haber,1 and Daphne W. Bell1 1Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, Massachusetts; 2Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts; 3Department of Molecular Biology, Massachusetts General Hospital, Department of Genetics, Harvard Medical School, and Broad Institute for Biomedical Research, Boston, Massachusetts; and 4Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California Abstract mutation, was defective in its ability to mediate CHK1 Mutational inactivation of genes controlling the phosphorylation followingDNA damageand was unable to DNA-damage response contributes to cancer susceptibility rescue sensitivity to replicative stress in CLSPN-depleted within families and within the general population as well as cells. Taken together, these observations raise the to sporadic tumorigenesis. Claspin (CLSPN) encodes a possibility that CLSPN may encode a component of the recently recognized mediator protein essential for the ATR DNA-damage response pathway that is targeted by and CHK1-dependent checkpoint elicited by replicative mutations in human cancers, suggesting the need for larger stress or the presence of ssDNA. Here, we describe a study population-based studies to investigate whether CLSPN to determine whether mutational disruption of CLSPN variants contribute to cancer susceptibility. -
List of Abbreviation
Exploring and Potentiating Human Bone Marrow Derived Mesenchymal Stem Cells [hBMSCs] and Differentiated Islets for Effective Diabetes Therapy ABBREVIATION LIST OF ABBREVIATION AF555-Alexa Fluor 555 EBs- Embryoid bodies AGE- advanced glycosylation end-product EDTA- Ethylenediaminetetraacetic acid aPKC- Atypical protein kinase C EGF-Epidermal growth factor ANOVA-Analysis of variance EGFR- epidermal growth factor receptor Arx- Aristaless-related homeobox gene EL- Enicostemma littorale ATP- Adenosine triphosphate ELISA- Enzyme linked immunosorbent bHLH- Basic helix–loop–helix assay BM- Bone marrow EMT - epithelial–mesenchymal transition BMC- Bioactive molecules cocktail ESCs- Embryonic stem cells BMP-bone morphogenic protein FACS- Fluorescent activated cell sorter BSA- Bovine serum albumin FBS- Fetal Bovine Serum cAMP- Cyclic Adenosine monophosphate FDA- Food and Drug Administration CaCl2 –Calcium chloride FGF- Fibroblast growth factor CD-Cluster of differentiation FITC- Fluorescein isothiocyanate cDNA –Complementary DNA FOXO1-Forkhead box protein O1 ChIP-Chromatin immunoprecipitation FOXA2 - Forkhead box protein A2 CCl4- Carbon tetrachloride GAD- Glutamate decarboxylase CDK- Cyclin dependent kinase GATA4 -(GATA Binding Protein 4) CK-Cytokeratin GATA6- (GATA Binding Protein 6) CNS- Central Nervous System GCK- Glucokinase CPCSEA- Committee for the purpose of GFP- Green Fluorescent protein control and supervision of experiments on GLP-1- Glucagon-like peptide-1 animals GLUT- Glucose Transporter DAPI- 4’6’-diamidino-2-phenylindole GPx- Glutathione peroxidase Dihydrochloride GSH- Reduced glutathione DCFDA- 2',7' –dichlorofluorescin diacetate GSIS- Glucose-stimulated insulin secretion DM-Diabetes mellitus GTT- Glucose tolerance test DMEM- KO -Dulbecco’s Modified Eagle H & E- Hematoxylin and Eosin Media-Knock out hBMSCs: Human bone marrow-derived DMSO- Dimethyl Sulphoxide mesenchymal stem cell DTZ- Dithizone HGF- Hepatocyte Growth Factor Mitul Vakani. -
ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes
OncoTargets and Therapy Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes This article was published in the following Dove Press journal: OncoTargets and Therapy Rui-zhe Li1 Background: ACTL6A, a regulatory subunit of ATP-dependent chromatin-remodeling Yun-yun Li1,2 complexes SWI/SNF, has been identified as a central oncogenic driver in many tumor types. Hui Qin1 Materials and Methods: We used immunohistochemistry (IHC) to detect ACTL6A Shan-shan Li1 expression in esophageal squamous cell carcinoma (ESCC) tissues. Then, the effect of ACTL6A on proliferation and DNA synthesis was explored by using cell counting kit 8 1 Department of Pathology, School of (CCK8) and EdU retention assays. The potential oncogenic mechanism of ACTL6A in Basic Medical Sciences, Zhengzhou University and First Affiliated Hospital of ESCC cells was also analyzed by flow cytometry and Western blotting. We further estab Zhengzhou University, Zhengzhou, lished an ESCC xenograft mouse model to validate the in vitro results. Henan 450000, People’s Republic of China; 2Department of Stomatology, First Results: ACTL6A expression, localized in cancer cell nuclei, was markedly higher in ESCC Affiliated Hospital of Zhengzhou tissues than in the corresponding noncancerous tissues (P<0.001) and was positively asso University, Zhengzhou, Henan 450000, ciated with tumor size, histological differentiation, T stage and tumor-node-metastasis People’s Republic of China (TNM) stage. Kaplan–Meier analysis revealed that high ACTL6A expression was signifi cantly associated with poor overall survival (OS) (P = 0.008, HR= 2.562, 95% CI: 1.241– 5.289), and decision curve analysis (DCA) demonstrated that ACTL6A could increase the clinical prognostic efficiency of the original clinical prediction model. -
A Pathogenic Ctbp1 Missense Mutation Causes Altered Cofactor Binding and Transcriptional Activity
neurogenetics (2019) 20:129–143 https://doi.org/10.1007/s10048-019-00578-1 ORIGINAL ARTICLE A pathogenic CtBP1 missense mutation causes altered cofactor binding and transcriptional activity David B. Beck1 & T. Subramanian2 & S. Vijayalingam2 & Uthayashankar R. Ezekiel3 & Sandra Donkervoort4 & Michele L. Yang5 & Holly A. Dubbs6 & Xilma R. Ortiz-Gonzalez7 & Shenela Lakhani8 & Devorah Segal9 & Margaret Au10 & John M. Graham Jr10 & Sumit Verma11 & Darrel Waggoner12 & Marwan Shinawi13 & Carsten G. Bönnemann4 & Wendy K. Chung14 & G. Chinnadurai2 Received: 23 October 2018 /Revised: 18 March 2019 /Accepted: 9 April 2019 /Published online: 30 April 2019 # Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract We previously reported a pathogenic de novo p.R342W mutation in the transcriptional corepressor CTBP1 in four independent patients with neurodevelopmental disabilities [1]. Here, we report the clinical phenotypes of seven additional individuals with the same recurrent de novo CTBP1 mutation. Within this cohort, we identified consistent CtBP1-related phenotypes of intellectual disability, ataxia, hypotonia, and tooth enamel defects present in most patients. The R342W mutation in CtBP1 is located within a region implicated in a high affinity-binding cleft for CtBP-interacting proteins. Unbiased proteomic analysis demonstrated reduced interaction of several chromatin-modifying factors with the CtBP1 W342 mutant. Genome-wide transcriptome analysis in human glioblastoma cell lines expressing -CtBP1 R342 (wt) or W342 mutation revealed changes in the expression profiles of genes controlling multiple cellular processes. Patient-derived dermal fibroblasts were found to be more sensitive to apoptosis during acute glucose deprivation compared to controls. Glucose deprivation strongly activated the BH3-only pro-apoptotic gene NOXA, suggesting a link between enhanced cell death and NOXA expression in patient fibroblasts. -
Katalog 2015 Cover Paul Lin *Hinweis Förderung.Indd
Product List 2015 WE LIVE SERVICE Certificates quartett owns two productions sites that are certified according to EN ISO 9001:2008 Quality management systems - Requirements EN ISO 13485:2012 + AC:2012 Medical devices - Quality management systems - Requirements for regulatory purposes GMP Conformity Our quality management guarantees products of highest quality! 2 Foreword to the quartett product list 2015 quartett Immunodiagnostika, Biotechnologie + Kosmetik Vertriebs GmbH welcomes you as one of our new business partners as well as all of our previous loyal clients. You are now member of quartett´s worldwide customers. First of all we would like to introduce ourselves to you. Founded as a family-run company in 1986, quartett ensures for more than a quarter of a century consistent quality of products. Service and support of our valued customers are our daily businesses. And we will continue! In the end 80´s quartett offered radioimmunoassay and enzyme immunoassay kits from different manufacturers in the USA. In the beginning 90´s the company changed its strategy from offering products for routine diagnostic to the increasing field of research and development. Setting up a production plant in 1997 and a second one in 2011 supported this decision. The company specialized its product profile in the field of manufacturing synthetic peptides for antibody production, peptides such as protease inhibitors, biochemical reagents and products for histology, cytology and immunohistology. All products are exclusively manufactured in Germany without outsourcing any production step. Nowadays, we expand into all other diagnostic and research fields and supply our customers in universities, government institutes, pharmaceutical and biotechnological companies, hospitals, and private doctor offices. -
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. -
Increased ACTL6A Occupancy Within Mswi/SNF Chromatin Remodelers
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435873; this version posted March 22, 2021. 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. Increased ACTL6A Occupancy Within mSWI/SNF Chromatin Remodelers Drives Human Squamous Cell Carcinoma Chiung-Ying Chang1,2,7, Zohar Shipony3,7, Ann Kuo1,2, Kyle M. Loh4,5, William J. Greenleaf3,6, Gerald R. Crabtree1,2,5* 1Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. 2Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. 4Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. 5Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA. 6Department of Applied Physics, Stanford University, Stanford, California 94305, USA. 7These authors contributed equally. *Corresponding author: Gerald R. Crabtree, [email protected] Summary Mammalian SWI/SNF (BAF) chromatin remodelers play dosage-sensitive roles in many human malignancies and neurologic disorders. The gene encoding the BAF subunit, ACTL6A, is amplified at an early stage in the development of squamous cell carcinomas (SCCs), but its oncogenic role remains unclear. Here we demonstrate that ACTL6A overexpression leads to its stoichiometric assembly into BAF complexes and drives its interaction and engagement with specific regulatory regions in the genome. In normal epithelial cells, ACTL6A was sub-stoichiometric to other BAF subunits. However, increased ACTL6A levels by ectopic expression or in SCC cells led to near-saturation of ACTL6A within BAF complexes. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
Identifying the Role of Wilms Tumor 1 Associated Protein in Cancer Prediction Using Integrative Genomic Analyses
MOLECULAR MEDICINE REPORTS 14: 2823-2831, 2016 Identifying the role of Wilms tumor 1 associated protein in cancer prediction using integrative genomic analyses LI‑SHENG WU1*, JIA-YI QIAN2*, MINGHAI WANG3* and HAIWEI YANG4 1Department of General Surgery, Anhui Provincial Hospital, Anhui Medical University, Hefei, Anhui 230001; 2Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029; 3Department of General Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui 241002; 4Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China Received August 31, 2015; Accepted June 2, 2016 DOI: 10.3892/mmr.2016.5528 Abstract. The Wilms tumor suppressor, WT1 was first iden- regulatory factor 1, glucocorticoid receptor and peroxisome tified due to its essential role in the normal development of proliferator‑activated receptor γ transcription factor binding the human genitourinary system. Wilms tumor 1 associated sites were identified in the upstream (promoter) region of the protein (WTAP) was subsequently revealed to interact with human WTAP gene, suggesting that these transcription factors WT1 using yeast two‑hybrid screening. The present study may be involved in WTAP functions in tumor formation. identified 44 complete WTAP genes in the genomes of verte- brates, including fish, amphibians, birds and mammals. The Introduction vertebrate WTAP proteins clustered into the primate, rodent and teleost lineages using phylogenetic tree analysis. From The Wilms tumor suppressor gene WT1 was first identified 1,347 available SNPs in the human WTAP gene, 19 were due to its essential role in the normal development of the identified to cause missense mutations. -
NICU Gene List Generator.Xlsx
Neonatal Crisis Sequencing Panel Gene List Genes: A2ML1 - B3GLCT A2ML1 ADAMTS9 ALG1 ARHGEF15 AAAS ADAMTSL2 ALG11 ARHGEF9 AARS1 ADAR ALG12 ARID1A AARS2 ADARB1 ALG13 ARID1B ABAT ADCY6 ALG14 ARID2 ABCA12 ADD3 ALG2 ARL13B ABCA3 ADGRG1 ALG3 ARL6 ABCA4 ADGRV1 ALG6 ARMC9 ABCB11 ADK ALG8 ARPC1B ABCB4 ADNP ALG9 ARSA ABCC6 ADPRS ALK ARSL ABCC8 ADSL ALMS1 ARX ABCC9 AEBP1 ALOX12B ASAH1 ABCD1 AFF3 ALOXE3 ASCC1 ABCD3 AFF4 ALPK3 ASH1L ABCD4 AFG3L2 ALPL ASL ABHD5 AGA ALS2 ASNS ACAD8 AGK ALX3 ASPA ACAD9 AGL ALX4 ASPM ACADM AGPS AMELX ASS1 ACADS AGRN AMER1 ASXL1 ACADSB AGT AMH ASXL3 ACADVL AGTPBP1 AMHR2 ATAD1 ACAN AGTR1 AMN ATL1 ACAT1 AGXT AMPD2 ATM ACE AHCY AMT ATP1A1 ACO2 AHDC1 ANK1 ATP1A2 ACOX1 AHI1 ANK2 ATP1A3 ACP5 AIFM1 ANKH ATP2A1 ACSF3 AIMP1 ANKLE2 ATP5F1A ACTA1 AIMP2 ANKRD11 ATP5F1D ACTA2 AIRE ANKRD26 ATP5F1E ACTB AKAP9 ANTXR2 ATP6V0A2 ACTC1 AKR1D1 AP1S2 ATP6V1B1 ACTG1 AKT2 AP2S1 ATP7A ACTG2 AKT3 AP3B1 ATP8A2 ACTL6B ALAS2 AP3B2 ATP8B1 ACTN1 ALB AP4B1 ATPAF2 ACTN2 ALDH18A1 AP4M1 ATR ACTN4 ALDH1A3 AP4S1 ATRX ACVR1 ALDH3A2 APC AUH ACVRL1 ALDH4A1 APTX AVPR2 ACY1 ALDH5A1 AR B3GALNT2 ADA ALDH6A1 ARFGEF2 B3GALT6 ADAMTS13 ALDH7A1 ARG1 B3GAT3 ADAMTS2 ALDOB ARHGAP31 B3GLCT Updated: 03/15/2021; v.3.6 1 Neonatal Crisis Sequencing Panel Gene List Genes: B4GALT1 - COL11A2 B4GALT1 C1QBP CD3G CHKB B4GALT7 C3 CD40LG CHMP1A B4GAT1 CA2 CD59 CHRNA1 B9D1 CA5A CD70 CHRNB1 B9D2 CACNA1A CD96 CHRND BAAT CACNA1C CDAN1 CHRNE BBIP1 CACNA1D CDC42 CHRNG BBS1 CACNA1E CDH1 CHST14 BBS10 CACNA1F CDH2 CHST3 BBS12 CACNA1G CDK10 CHUK BBS2 CACNA2D2 CDK13 CILK1 BBS4 CACNB2 CDK5RAP2