RPS17 Rabbit Pab

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Leader in Biomolecular Solutions for Life Science RPS17 Rabbit pAb Catalog No.: A16425 Basic Information Background Catalog No. Ribosomes, the organelles that catalyze protein synthesis, consist of a small 40S subunit A16425 and a large 60S subunit. Together these subunits are composed of four RNA species and approximately 80 structurally distinct proteins. This gene encodes a ribosomal protein Observed MW that is a component of the 40S subunit. The protein belongs to the S17E family of 20kDa ribosomal proteins and is located in the cytoplasm. Mutations in this gene cause Diamond-Blackfan anemia 4. Alternative splicing of this gene results in multiple Calculated MW transcript variants. As is typical for genes encoding ribosomal proteins, there are 15kDa multiple processed pseudogenes of this gene dispersed through the genome. Category Primary antibody Applications WB Cross-Reactivity Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 6218 P08708 Immunogen A synthetic peptide corresponding to a sequence within amino acids 1-100 of human RPS17 (NP_001012.1). Synonyms RPS17;DBA4;RPS17L;RPS17L1;RPS17L2;S17 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using RPS17 antibody (A16425) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Enhanced Kit (RM00021). Exposure time: 90s. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. Not for therapeutic or diagnostic purposes. Please visit http://abclonal.com for a complete listing of recommended products..

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Supplementary Data
Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2).
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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.
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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.
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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.
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Micrornas Mediated Regulation of the Ribosomal Proteins and Its Consequences on the Global Translation of Proteins
cells Review microRNAs Mediated Regulation of the Ribosomal Proteins and Its Consequences on the Global Translation of Proteins Abu Musa Md Talimur Reza 1,2 and Yu-Guo Yuan 1,3,* 1 Jiangsu Co-Innovation Center of Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; [email protected] 2 Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawi´nskiego5a, 02-106 Warsaw, Poland 3 Jiangsu Key Laboratory of Zoonosis/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China * Correspondence: [email protected]; Tel.: +86-514-8797-9228 Abstract: Ribosomal proteins (RPs) are mostly derived from the energy-consuming enzyme families such as ATP-dependent RNA helicases, AAA-ATPases, GTPases and kinases, and are important structural components of the ribosome, which is a supramolecular ribonucleoprotein complex, composed of Ribosomal RNA (rRNA) and RPs, coordinates the translation and synthesis of proteins with the help of transfer RNA (tRNA) and other factors. Not all RPs are indispensable; in other words, the ribosome could be functional and could continue the translation of proteins instead of lacking in some of the RPs. However, the lack of many RPs could result in severe defects in the biogenesis of ribosomes, which could directly inﬂuence the overall translation processes and global expression of the proteins leading to the emergence of different diseases including cancer. While microRNAs (miRNAs) are small non-coding RNAs and one of the potent regulators of the post-transcriptional 0 gene expression, miRNAs regulate gene expression by targeting the 3 untranslated region and/or coding region of the messenger RNAs (mRNAs), and by interacting with the 50 untranslated region, Citation: Reza, A.M.M.T.; Yuan, Y.-G.
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The Role of Human Ribosomal Proteins in the Maturation of Rrna and Ribosome Production
JOBNAME: RNA 14#9 2008 PAGE: 1 OUTPUT: Friday August 8 17:34:50 2008 csh/RNA/164293/rna11320 Downloaded from rnajournal.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press The role of human ribosomal proteins in the maturation of rRNA and ribosome production SARA ROBLEDO,1,3 RACHEL A. IDOL,1,3 DAN L. CRIMMINS,2 JACK H. LADENSON,2 PHILIP J. MASON,1,4 and MONICA BESSLER1,4 1Department of Internal Medicine, Division of Hematology, Washington University School of Medicine, St. Louis, Missouri 63110, USA 2Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, USA ABSTRACT Production of ribosomes is a fundamental process that occurs in all dividing cells. It is a complex process consisting of the coordinated synthesis and assembly of four ribosomal RNAs (rRNA) with about 80 ribosomal proteins (r-proteins) involving more than 150 nonribosomal proteins and other factors. Diamond Blackfan anemia (DBA) is an inherited red cell aplasia caused by mutations in one of several r-proteins. How defects in r-proteins, essential for proliferation in all cells, lead to a human disease with a specific defect in red cell development is unknown. Here, we investigated the role of r-proteins in ribosome biogenesis in order to find out whether those mutated in DBA have any similarities. We depleted HeLa cells using siRNA for several individual r-proteins of the small (RPS6, RPS7, RPS15, RPS16, RPS17, RPS19, RPS24, RPS25, RPS28) or large subunit (RPL5, RPL7, RPL11, RPL14, RPL26, RPL35a) and studied the effect on rRNA processing and ribosome production.
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Cell-Type-Specific Isolation of Ribosome-Associated Mrna from Complex Tissues
Cell-type-specific isolation of ribosome-associated mRNA from complex tissues Elisenda Sanza, Linghai Yanga, Thomas Sua, David R. Morrisb, G. Stanley McKnighta, and Paul S. Amieuxa,1 Departments of bBiochemistry and aPharmacology, University of Washington, Seattle, WA 98195 Communicated by Richard D. Palmiter, University of Washington School of Medicine, Seattle, WA, June 26, 2009 (received for review May 1, 2009) Gene profiling techniques allow the assay of transcripts from noprecipitation. Messenger RNA transcripts found in the target organs, tissues, and cells with an unprecedented level of coverage. cell population can be isolated from the immunoprecipitated However, most of these approaches are still limited by the fact that polyribosomes and analyzed using standard genomic profiling organs and tissues are composed of multiple cell types that are technologies such as quantitative RT-PCR (qRT-PCR) or mi- each unique in their patterns of gene expression. To identify the croarray. The advantages of this approach are the widespread transcriptome from a single cell type in a complex tissue, investi- availability of well-characterized Cre recombinase-expressing gators have relied upon physical methods to separate cell types or mouse lines and the robust expression of the epitope-tagged in situ hybridization and immunohistochemistry. Here, we describe ribosomal protein subunit from the endogenous allele. a strategy to rapidly and efficiently isolate ribosome-associated mRNA transcripts from any cell type in vivo. We have created a Results mouse line, called RiboTag, which carries an Rpl22 allele with a Selection of Ribosomal Proteins for Epitope Tagging and Design of the floxed wild-type C-terminal exon followed by an identical C- Targeting Vector.
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Lncrna SNHG8 Is Identified As a Key Regulator of Acute Myocardial
Zhuo et al. Lipids in Health and Disease (2019) 18:201 https://doi.org/10.1186/s12944-019-1142-0 RESEARCH Open Access LncRNA SNHG8 is identified as a key regulator of acute myocardial infarction by RNA-seq analysis Liu-An Zhuo, Yi-Tao Wen, Yong Wang, Zhi-Fang Liang, Gang Wu, Mei-Dan Nong and Liu Miao* Abstract Background: Long noncoding RNAs (lncRNAs) are involved in numerous physiological functions. However, their mechanisms in acute myocardial infarction (AMI) are not well understood. Methods: We performed an RNA-seq analysis to explore the molecular mechanism of AMI by constructing a lncRNA-miRNA-mRNA axis based on the ceRNA hypothesis. The target microRNA data were used to design a global AMI triple network. Thereafter, a functional enrichment analysis and clustering topological analyses were conducted by using the triple network. The expression of lncRNA SNHG8, SOCS3 and ICAM1 was measured by qRT-PCR. The prognostic values of lncRNA SNHG8, SOCS3 and ICAM1 were evaluated using a receiver operating characteristic (ROC) curve. Results: An AMI lncRNA-miRNA-mRNA network was constructed that included two mRNAs, one miRNA and one lncRNA. After RT-PCR validation of lncRNA SNHG8, SOCS3 and ICAM1 between the AMI and normal samples, only lncRNA SNHG8 had significant diagnostic value for further analysis. The ROC curve showed that SNHG8 presented an AUC of 0.850, while the AUC of SOCS3 was 0.633 and that of ICAM1 was 0.594. After a pairwise comparison, we found that SNHG8 was statistically significant (P SNHG8-ICAM1 = 0.002; P SNHG8-SOCS3 = 0.031).
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Ribosomopathies: How a Common Root Can Cause a Tree of Pathologies Nadia Danilova1,* and Hanna T
© 2015. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2015) 8, 1013-1026 doi:10.1242/dmm.020529 REVIEW Ribosomopathies: how a common root can cause a tree of pathologies Nadia Danilova1,* and Hanna T. Gazda2,3,4,* ABSTRACT DBA is a rare disease with an incidence of ∼5 cases per million Defects in ribosome biogenesis are associated with a group of diseases live births, but it has attracted substantial attention as a model called the ribosomopathies, of which Diamond-Blackfan anemia (DBA) disease for ribosomopathies, a group of pathologies associated with is the most studied. Ribosomes are composed of ribosomal proteins defects in ribosome biogenesis (Armistead and Triggs-Raine, 2014; (RPs) and ribosomal RNA (rRNA). RPs and multiple other factors are James et al., 2014). Despite this common defect, phenotypes of necessary for the processing of pre-rRNA, the assembly of ribosomal ribosomopathies differ. A common feature among several subunits, their export to the cytoplasm and for the final assembly of ribosomopathies is p53 activation (Danilova et al., 2008b; subunits into a ribosome. Haploinsufficiency of certain RPs causes Elghetany and Alter, 2002; Jones et al., 2008), but the mechanisms DBA, whereas mutations in other factors cause various other involved have not been completely elucidated. A p53-independent ribosomopathies. Despite the general nature of their underlying response to RP deficiency has also been observed (Aspesi et al., 2014; defects, the clinical manifestations of ribosomopathies differ. In DBA, Danilova et al., 2008b; Singh et al., 2014; Torihara et al., 2011). The for example, red blood cell pathology is especially evident.
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Diagnostic and Prognostic Implications of Ribosomal Protein Transcript Coordination in Human Cancers
bioRxiv preprint doi: https://doi.org/10.1101/167940; this version posted July 24, 2017. 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. Diagnostic and Prognostic Implications of Ribosomal Protein Transcript Coordination in Human Cancers James M. Dolezal1, 2, Arie P. Dash1, Edward V. Prochownik1 Running title: Implications of RPT Coordination in Human Cancers Keywords: machine learning, t-SNE, ribosomopathy, transcriptional profiling, TCGA 1Division of Hematology/Oncology, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh PA, 15224 2Correspondence: James M. Dolezal Tel: (765) 513-5561 Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/167940; this version posted July 24, 2017. 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 Ribosomes, the organelles responsible for the translation of mRNA, are comprised of rRNA and ~80 ribosomal proteins (RPs). Although canonically assumed to be maintained in equivalent proportions, some RPs have been shown to possess differential expression across tissue types. Dysregulation of RP expression occurs in a variety of human diseases, notably in many cancers, and altered expression of some RPs correlates with different tumor phenotypes and patient survival. To investigate the impact of global RP transcript (RPT) expression patterns on tumor phenotypes, we analyzed RPT expression of ~10,000 human tumors and 700 normal tissues with t-distributed stochastic neighbor embedding (t-SNE).
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SCIENCE CHINA the Role of Ribosomal Proteins in the Regulation
SCIENCE CHINA Life Sciences • REVIEW • July 2016 Vol.59 No.7: 656–672 doi: 10.1007/s11427-016-0018-0 The role of ribosomal proteins in the regulation of cell proliferation, tumorigenesis, and genomic integrity Xilong Xu1, Xiufang Xiong1* & Yi Sun1,2,3‡ 1Institute of Translational Medicine, Zhejiang University School of Medicine, Zhejiang 310029, China; 2Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang University, Zhejiang 310029, China; 3Division of Radiation and Cancer Biology, Department of Radiation Oncology, University of Michigan, Ann Arbor MI 48109, USA Received March 15, 2016; accepted April 6, 2016; published online June 12, 2016 Ribosomal proteins (RPs), the essential components of the ribosome, are a family of RNA-binding proteins, which play prime roles in ribosome biogenesis and protein translation. Recent studies revealed that RPs have additional extra-ribosomal func- tions, independent of protein biosynthesis, in regulation of diverse cellular processes. Here, we review recent advances in our understanding of how RPs regulate apoptosis, cell cycle arrest, cell proliferation, neoplastic transformation, cell migration and invasion, and tumorigenesis through both MDM2/p53-dependent and p53-independent mechanisms. We also discuss the roles of RPs in the maintenance of genome integrity via modulating DNA damage response and repair. We further discuss mutations or deletions at the somatic or germline levels of some RPs in human cancers as well as in patients of Diamond-Blackfan ane- mia and 5q- syndrome with high susceptibility to cancer development. Moreover, we discuss the potential clinical application, based upon abnormal levels of RPs, in biomarker development for early diagnosis and/or prognosis of certain human cancers.
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Spatial Sorting Enables Comprehensive Characterization of Liver Zonation
ARTICLES https://doi.org/10.1038/s42255-019-0109-9 Spatial sorting enables comprehensive characterization of liver zonation Shani Ben-Moshe1,3, Yonatan Shapira1,3, Andreas E. Moor 1,2, Rita Manco1, Tamar Veg1, Keren Bahar Halpern1 and Shalev Itzkovitz 1* The mammalian liver is composed of repeating hexagonal units termed lobules. Spatially resolved single-cell transcriptomics has revealed that about half of hepatocyte genes are differentially expressed across the lobule, yet technical limitations have impeded reconstructing similar global spatial maps of other hepatocyte features. Here, we show how zonated surface markers can be used to sort hepatocytes from defined lobule zones with high spatial resolution. We apply transcriptomics, microRNA (miRNA) array measurements and mass spectrometry proteomics to reconstruct spatial atlases of multiple zon- ated features. We demonstrate that protein zonation largely overlaps with messenger RNA zonation, with the periportal HNF4α as an exception. We identify zonation of miRNAs, such as miR-122, and inverse zonation of miRNAs and their hepa- tocyte target genes, highlighting potential regulation of gene expression levels through zonated mRNA degradation. Among the targets, we find the pericentral Wingless-related integration site (Wnt) receptors Fzd7 and Fzd8 and the periportal Wnt inhibitors Tcf7l1 and Ctnnbip1. Our approach facilitates reconstructing spatial atlases of multiple cellular features in the liver and other structured tissues. he mammalian liver is a structured organ, consisting of measurements would broaden our understanding of the regulation repeating hexagonally shaped units termed ‘lobules’ (Fig. 1a). of liver zonation and could be used to model liver metabolic func- In mice, each lobule consists of around 9–12 concentric lay- tion more precisely.
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