Patterns of Ribosomal Protein Expression Specify Normal and Malignant Human Cells Joao C
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Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
RPL36 Antibody Kit
Leader in Biomolecular Solutions for Life Science [One Step]RPL36 Antibody Kit Catalog No.: RK05700 Basic Information Background Catalog No. Ribosomes, the organelles that catalyze protein synthesis, consist of a small 40S subunit RK05700 and a large 60S subunit. Together these subunits are composed of 4 RNA species and approximately 80 structurally distinct proteins. This gene encodes a ribosomal protein Applications that is a component of the 60S subunit. The protein belongs to the L36E family of WB ribosomal proteins. It is located in the cytoplasm. Transcript variants derived from alternative splicing exist; they encode the same protein. As is typical for genes encoding Cross-Reactivity ribosomal proteins, there are multiple processed pseudogenes of this gene dispersed Human, Mouse, Rat through the genome. Observed MW 15kDa Calculated MW 12kDa Category Antibody kit Product Information Component & Recommended Dilutions Source Catalog No. Product Name Dilutions Rabbit RK05700-1 RPL36 Rabbit pAb 1:1000 dilution Purification RK05700-2 HRP Goat Anti-Rabbit IgG (H+L) 1:10000 dilution Affinity purification Storage Store at -20℃. Avoid freeze / thaw Immunogen Information cycles. Buffer: PBS with 0.02% sodium azide, Gene ID Swiss Prot 50% glycerol, pH7.3. 25873 Q9Y3U8 Avoid repeated freeze-thaw cycles. Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 1-105 Contact of human RPL36 (NP_056229.2). www.abclonal.com Synonyms RPL36;L36 Validation Data Western blot analysis of extracts of various cells, using RPL36 antibody (A7793) at 1:1000 dilution ratio through one-step method. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. Not for therapeutic or diagnostic purposes. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Datasheet: VPA00491 Product Details
Datasheet: VPA00491 Description: RABBIT ANTI RPLP0 Specificity: RPLP0 Format: Purified Product Type: PrecisionAb™ Polyclonal Isotype: Polyclonal IgG Quantity: 100 µl Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Western Blotting 1/1000 PrecisionAb antibodies have been extensively validated for the western blot application. The antibody has been validated at the suggested dilution. Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Further optimization may be required dependant on sample type. Target Species Human Species Cross Reacts with: Mouse, Rat Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Preparation Rabbit polyclonal antibody purified by affinity chromatography Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN3) Stabilisers 2% Sucrose Immunogen Synthetic peptide directed towards the N terminal region of human RPLP0 External Database Links UniProt: P05388 Related reagents Entrez Gene: 6175 RPLP0 Related reagents Specificity Rabbit anti Human RPLP0 antibody recognizes RPLP0 also known as 60S acidic ribosomal protein P0, 60S ribosomal protein L10E or acidic ribosomal phosphoprotein P0. Page 1 of 2 Ribosomes, the organelles that catalyze protein synthesis, consist of a small 40S subunit and a large 60S subunit. Together these subunits are composed of 4 RNA species and approximately 80 structurally distinct proteins. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Gene Expression Profile of Residual Breast Cancer After Doxorubicin and Cyclophosphamide Neoadjuvant Chemotherapy
805-813.qxd 17/8/2009 11:25 Ì ™ÂÏ›‰·805 ONCOLOGY REPORTS 22: 805-813, 2009 805 Gene expression profile of residual breast cancer after doxorubicin and cyclophosphamide neoadjuvant chemotherapy MARIA APARECIDA AZEVEDO KOIKE FOLGUEIRA1, HELENA BRENTANI2, DIRCE MARIA CARRARO2, MATEUS DE CAMARGO BARROS FILHO1, MARIA LUCIA HIRATA KATAYAMA1, ANA PAULA SANTANA DE ABREU3, EDSON MANTOVANI BARBOSA3, CÉLIA TOSELLO DE OLIVEIRA3, DIOGO F.C. PATRÃO2, LOUISE D. MOTA2, MARIO MOURÃO NETTO2, JOSÉ ROBERTO FIGARO CALDEIRA4 and MARIA MITZI BRENTANI1 1Faculdade de Medicina, Universidade de São Paulo, Disciplina Oncologia (LIM24), São Paulo, SP; 2Hospital do Câncer A.C. Camargo, São Paulo, SP; 3Instituto Brasileiro de Controle do Câncer, São Paulo, SP; 4Hospital Amaral Carvalho, Jaú, SP, Brasil Received April 16, 2009; Accepted June 12, 2009 DOI: 10.3892/or_00000503 Abstract. In breast cancer patients, primary chemotherapy is as compared to pre-chemotherapy samples. After neoadjuvant associated with the same survival benefits as adjuvant chemo- chemotherapy some residual samples may retain their mole- therapy. Residual tumors represent a clinical challenge, as cular signature while others present significant changes in they may be resistant to additional cycles of the same drugs. their gene expression, probably induced by the treatment. Our aim was to identify differential transcripts expressed CTGF and DUSP1 overexpression in residual samples may in residual tumors, after neoadjuvant chemotherapy, that be a reflection of resistance to further administration of AC might be related with tumor resistance. Hence, 16 patients regimen. with paired tumor samples, collected before and after treat- ment (4 cycles doxorubicin/cyclophosphamide, AC) had Introduction their gene expression evaluated on cDNA microarray slides containing 4,608 genes. -
The Oviductal Extracellular Vesicles' RNA Cargo Regulates the Bovine
International Journal of Molecular Sciences Article The Oviductal Extracellular Vesicles’ RNA Cargo Regulates the Bovine Embryonic Transcriptome Stefan Bauersachs 1 , Pascal Mermillod 2 and Carmen Almiñana 1,2,* 1 Genetics and Functional Genomics, VetSuisse Faculty Zurich, University of Zurich, 8315 Lindau (ZH), Switzerland; [email protected] 2 UMR85 PRC, INRA, CNRS 7247, Université de Tours, IFCE, 37380 Nouzilly, France; [email protected] * Correspondence: [email protected] Received: 21 January 2020; Accepted: 12 February 2020; Published: 14 February 2020 Abstract: Oviductal extracellular vesicles (oEVs) are emerging as key players in the gamete/embryo–oviduct interactions that contribute to successful pregnancy. Various positive effects of oEVs on gametes and early embryos have been found in vitro. To determine whether these effects are associated with changes of embryonic gene expression, the transcriptomes of embryos supplemented with bovine fresh (FeEVs) or frozen (FoEVs) oEVs during in vitro culture compared to controls without oEVs were analyzed by low-input RNA sequencing. Analysis of RNA-seq data revealed 221 differentially expressed genes (DEGs) between FoEV treatment and control, 67 DEGs for FeEV and FoEV treatments, and minor differences between FeEV treatment and control (28 DEGs). An integrative analysis of mRNAs and miRNAs contained in oEVs obtained in a previous study with embryonic mRNA alterations pointed to direct effects of oEV cargo on embryos (1) by increasing the concentration of delivered transcripts; (2) by translating delivered mRNAs to proteins that regulate embryonic gene expression; and (3) by oEV-derived miRNAs which downregulate embryonic mRNAs or modify gene expression in other ways. Our study provided the first high-throughput analysis of the embryonic transcriptome regulated by oEVs, increasing our knowledge on the impact of oEVs on the embryo and revealing the oEV RNA components that potentially regulate embryonic development. -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21. -
The Ribosomal Protein Rpl22 Controls Ribosome Composition by Directly Repressing Expression of Its Own Paralog, Rpl22l1
The Ribosomal Protein Rpl22 Controls Ribosome Composition by Directly Repressing Expression of Its Own Paralog, Rpl22l1 Monique N. O’Leary1,2, Katherine H. Schreiber1,2, Yong Zhang3, Anne-Ce´cile E. Duc3, Shuyun Rao3,J. Scott Hale4¤, Emmeline C. Academia2, Shreya R. Shah1, John F. Morton5, Carly A. Holstein6, Dan B. Martin6, Matt Kaeberlein7, Warren C. Ladiges5, Pamela J. Fink4, Vivian L. MacKay1, David L. Wiest3, Brian K. Kennedy1,2* 1 Department of Biochemistry, University of Washington, Seattle, Washington, United States of America, 2 Buck Institute for Research on Aging, Novato, California, United States of America, 3 Blood Cell Development and Cancer Keystone, Immune Cell Development and Host Defense Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, United States of America, 4 Department of Immunology, University of Washington, Seattle, Washington, United States of America, 5 Department of Comparative Medicine, University of Washington, Seattle, Washington, United States of America, 6 Institute for Systems Biology, Seattle, Washington, United States of America, 7 Department of Pathology, University of Washington, Seattle, Washington, United States of America Abstract Most yeast ribosomal protein genes are duplicated and their characterization has led to hypotheses regarding the existence of specialized ribosomes with different subunit composition or specifically-tailored functions. In yeast, ribosomal protein genes are generally duplicated and evidence has emerged that paralogs might have specific roles. Unlike yeast, most mammalian ribosomal proteins are thought to be encoded by a single gene copy, raising the possibility that heterogenous populations of ribosomes are unique to yeast. Here, we examine the roles of the mammalian Rpl22, finding that Rpl222/2 mice have only subtle phenotypes with no significant translation defects. -
Assessment of Hematopoietic Failure Due to Rpl11 Deficiency in a Zebrafish Model of Diamond-Blackfan Anemia by Deep Sequencing
Zhang et al. BMC Genomics 2013, 14:896 http://www.biomedcentral.com/1471-2164/14/896 RESEARCH ARTICLE Open Access Assessment of hematopoietic failure due to Rpl11 deficiency in a zebrafish model of Diamond- Blackfan anemia by deep sequencing Zhaojun Zhang1†, Haibo Jia2†, Qian Zhang1, Yang Wan3, Yang Zhou2, Qiong Jia2, Wanguang Zhang4, Weiping Yuan3, Tao Cheng3, Xiaofan Zhu3* and Xiangdong Fang1* Abstract Background: Diamond–Blackfan anemia is a rare congenital red blood cell dysplasia that develops soon after birth. RPL11 mutations account for approximately 4.8% of human DBA cases with defective hematopoietic phenotypes. However, the mechanisms by which RPL11 regulates hematopoiesis in DBA remain elusive. In this study, we analyzed the transcriptome using deep sequencing data from an Rpl11-deficient zebrafish model to identify Rpl11-mediated hematopoietic failure and investigate the underlying mechanisms. Results: We characterized hematological defects in Rpl11-deficient zebrafish embryos by identifying affected hematological genes, hematopoiesis-associated pathways, and regulatory networks. We found that hemoglobin biosynthetic and hematological defects in Rpl11-deficient zebrafish were related to dysregulation of iron metabolism-related genes, including tfa, tfr1b, alas2 and slc25a37, which are involved in heme and hemoglobin biosynthesis. In addition, we found reduced expression of the hematopoietic stem cells (HSC) marker cmyb and HSC transcription factors tal1 and hoxb4a in Rpl11-deficient zebrafish embryos, indicating that the hematopoietic defects may be related to impaired HSC formation, differentiation, and proliferation. However, Rpl11 deficiency did not affect the development of other blood cell lineages such as granulocytes and myelocytes. Conclusion: We identified hematopoietic failure of Rpl11-deficient zebrafish embryos using transcriptome deep sequencing and elucidated potential underlying mechanisms. -
SLFN11 Promotes CDT1 Degradation by CUL4 in Response to Replicative DNA Damage, While Its Absence Leads to Synthetic Lethality with ATR/CHK1 Inhibitors
SLFN11 promotes CDT1 degradation by CUL4 in response to replicative DNA damage, while its absence leads to synthetic lethality with ATR/CHK1 inhibitors Ukhyun Joa,1, Yasuhisa Muraia, Sirisha Chakkab, Lu Chenb, Ken Chengb, Junko Muraic, Liton Kumar Sahaa, Lisa M. Miller Jenkinsd, and Yves Pommiera,1 aDevelopmental Therapeutics Branch, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20814; bNational Center for Advancing Translational Sciences, Functional Genomics Laboratory, NIH, Rockville, MD 20850; cInstitute for Advanced Biosciences, Keio University, 997-0052 Yamagata, Japan; and dLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892 Edited by Richard D. Kolodner, Ludwig Institute for Cancer Research, La Jolla, CA, and approved December 8, 2020 (received for review July 29, 2020) Schlafen-11 (SLFN11) inactivation in ∼50% of cancer cells confers condensation related to deposition of H3K27me3 in the gene broad chemoresistance. To identify therapeutic targets and under- body of SLFN11 by EZH2, a histone methyltransferase (11). lying molecular mechanisms for overcoming chemoresistance, we Targeting epigenetic regulators is therefore an attractive com- performed an unbiased genome-wide RNAi screen in SLFN11-WT bination strategy to overcome chemoresistance of SLFN11- and -knockout (KO) cells. We found that inactivation of Ataxia deficient cancers (10, 25, 26). An alternative approach is to at- Telangiectasia- and Rad3-related (ATR), CHK1, BRCA2, and RPA1 tack SLFN11-negative cancer cells by targeting the essential SLFN11 overcome chemoresistance to camptothecin (CPT) in -KO pathways that cells use to overcome replicative damage and cells. Accordingly, we validate that clinical inhibitors of ATR replication stress. -
Identification of the Key Genes and Pathways in Prostate Cancer
ONCOLOGY LETTERS 16: 6663-6669, 2018 Identification of the key genes and pathways in prostate cancer SHUTONG FAN1*, ZUMU LIANG1*, ZHIQIN GAO1, ZHIWEI PAN2, SHAOJIE HAN3, XIAOYING LIU1, CHUNLING ZHAO1, WEIWEI YANG1, ZHIFANG PAN1 and WEIGUO FENG1 1College of Bioscience and Technology, Weifang Medical University, Weifang, Shandong 261053; 2Department of Internal Medicine, Laizhou Development Zone Hospital, Yantai, Shandong 261400; 3Animal Epidemic Prevention and Epidemic Control Center, Changle County Bureau of Animal Health and Production, Weifang, Shandong 262400, P.R. China Received March 5, 2018; Accepted September 17, 2018 DOI: 10.3892/ol.2018.9491 Abstract. Prostate cancer (PCa) is one of the most common Introduction malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the Prostate cancer (PCa) is one of the most common malignancies occurrence of PCa. Gene expression profile (GSE55945) in men globally and the second leading cause of cancer was downloaded from Gene Expression Omnibus, and associated mortality in developed countries (1,2). Like other the differentially expressed genes (DEGs) were identified. cancers, PCa is considered to be a disease which caused by Subsequently, Gene ontology analysis, KEGG pathway age, diet and gene aberrations (3). Accumulating evidences analysis and protein-protein interaction (PPI) analysis of have demonstrated that a series of genes and pathways involved DEGs were performed. Finally, the identified key genes were in the occurrence, progression and metastasis of PCa (4). At confirmed by immunohistochemistry. The GO analysis results present, the underlying mechanism of PCa occurrence is still showed that the DEGs were mainly participated in cell cycle, unclear, which limits the diagnosis and therapy.