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A) Analysis of the Ncrnas of Arabidopsis Inflorescences and Pollen Bioreplicates (Two Bioreplicates for Each Tissue

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Supplementary Material: Supplemental Figure 1. (A) Analysis of the ncRNAs of Arabidopsis inflorescences and pollen bioreplicates (two bioreplicates for each tissue). Biological replicates 1 and 2 of inflorescence are paired samples for both pollen biological replicates 1 and 2. (B) Individual tRF accumulation profiles for the different sRNA libraries used in Figure 1C. (C-D) Distribution of 5’ end nucleotide of 19 nt sRNAs along mature tRNA transcript sequences post- transcriptionally modified with the CCA sequence, in inflorescence (C) and pollen (D). Supplemental Figure 2. (A-C) Distribution of 5’ end nucleotide of 19 nt tRFs along mature tRNA transcript sequences post-transcriptionally modified with the CCA sequence in rice (A) and maize (B) pollen, and Physcomitrella patens gametophote-sporophyte (C) samples. Supplemental Figure 3. (A) Individual tRF accumulation profiles for the different sRNA libraries used in Figure 3A. (B) tRF accumulation profile in seedling sRNA libraries from ddm1 (red) and wt (blue), normalized in RPM. (C) Distribution of 19 nt tRFs along mature tRNA transcript sequences post- transcriptionally modified with the CCA sequence in the ddm1 background. (D) tRF accumulation profile in inflorescence sRNA libraries from met1 single and ddc triple mutants. 1 Supplemental Figure 4. (A) Individual tRF accumulation profiles for the different sRNA libraries used in Figure 4B. (B) AGO1-immunoprecipitated tRF accumulation size profile in wt and ddm1. (C) NcRNA categorization of the AGO1-immunoprecipitated sRNAs in wt and ddm1 libraries. (D) RT-PCR analysis of the accumulation of tRNA transcripts in gene-specific reverse (1) or oligo-dT (2) primers synthesized cDNA for selected tRNAs in the ddm1, ddm1/dcl1-11 and ddm1/ago1-24 backgrounds. The gene Tyrosine amminotransferase (TyrAT, At2g20610) and the miR161 precursor (pre- miR161) were used as controls. Supplemental Figure 5. wt and ddm1 inflorescence PARE reads aligned along a 100 nt window 5’ and 3’ to the PAREsnip-predicted target sites for protein coding genes. Supplemental Figure 6. Model of tRF processing. Data suggests that the Dicer-dependent tRF processing from the pre-tRNA occurs after RNase P and RNase Z activity, and generates a tRF-5s 19nt sRNA capable of targeting and cleaving TE mRNA transcripts. Supplemental Table 1. Mutant alleles used in this study. Supplemental Table 2. PCR Primers used in this study. Supplemental Table 3. sRNA and PARE libraries used in this study. Supplemental Table 4. 5’-derived 19 nt tRF-predicted targets in Arabidopsis thaliana. 2 Supplemental Figure 1 A 450000 small RNA derived from non-coding RNAs C 100 Inflorescence tRF alignment 400000 90 25 nts 350000 24 nts 80 300000 23 nts 70 250000 22 nts 60 RPM 200000 21 nts 50 150000 20 nts 40 100000 19 nts Percentage 50000 18 nts 30 0 20 10 Pollen-Biorep1 Pollen-Biorep1 Pollen-Biorep1 Pollen-Biorep2 Pollen-Biorep2 Pollen-Biorep2 Pollen-Biorep1 Pollen-Biorep2 Pollen-Biorep2 Pollen-Biorep1 5’- tRNA mature transcript -CCA-3’ Inorescence-Biorep1 Inorescence-Biorep1 Inorescence-Biorep2 Inorescence-Biorep2 Inorescence-Biorep2 Inorescence-Biorep2 Inorescence-Biorep1 Inorescence-Biorep1 Inorescence-Biorep1 Inorescence-Biorep2 rRNAs tRNAs miRNAs snoRNAs snRNAs B RPM D 100 tRF accumulation profile 90 Pollen tRF alignment 0 40000 80 25 70 60 50 size (nt) 40 Percentage 30 19 20 18 10 5’- tRNA mature transcript -CCA-3’ infl Rep1 infl Rep2 leaf Rep1 leaf Rep2 leaf Rep3 Pollen Rep2 Pollen Rep3 Pollen Rep5 Pollen Rep1 Pollen Rep4 Supplemental Figure 2 A B C 100 100 100 Rice pollen Maize pollen 90 P.patens gametophore 90 90 80 80 80 and sporophyte 70 70 70 60 60 60 50 50 50 40 40 40 30 30 30 20 20 20 10 10 10 -CCA-3’ 5’- tRNA mature transcript -CCA-3’ 5’- tRNA mature transcript -CCA-3’ 5’- tRNA mature transcript Supplemental Figure 3 RPM A ddm1 tRF accumulation profile B tRF accumulation profile in wt Col and ddm1 seedlings 0 50000 14000 25nt 12000 wt Col seedling ddm1 seedling 10000 8000 size (nt) RPM 6000 20 nt 4000 18 nt 2000 0 Rep1 Rep2 Rep3 18 19 20 21 22 23 24 25 wt Rep1 wt Rep2 wt Rep3 size (nt) ddm1 ddm1 ddm1 D C tRF accumulation profile in ddc and met1 4000 100 wt Col ddm1 tRF distribution profile 3500 90 ddc 80 3000 met1 70 2500 60 2000 50 RPM Percentage 40 1500 30 1000 20 500 10 0 5’- tRNA mature transcript -CCA-3’ 18 19 20 21 22 23 24 25 size (nt) Supplemental Figure 4. RPM D RT-detection of poly-A transcripts A tRF accumulation profile 0 50000 25 nt 1 2 ) t gene-specific primer Oligo-dT primer n Oligo-dT primer ( e +RT +RT No RT z i s 20 nt 18 nt Ladder ddm1 ddm1/dcl1 ddm1/ago1 Ladder ddm1 ddm1/dcl1 ddm1/ago1 Ladder ddm1 ddm1/dcl1 ddm1/ago1 ddm1 ddm1 ddm1/dcl1 ddm1/dcl1 Rep2 Rep3 Rep1 Rep2 200 nt 100 nt Ala AGC B 16000 AGO1 immunoprecipitated-tRF profile 50 nt 14000 wt Col 12000 200 nt ddm1 10000 100 nt Arg TCT 8000 50 nt 6000 RPM 200 nt 4000 Leu AAG 2000 100 nt 0 50 nt 18 19 20 21 22 23 24 25 size (nt) 200 nt 100 nt Met CAT C AGO1 IP ncRNA categorization 50 nt wt Col ddm1 300 nt tRFs 200 nt At2g20610 miRNAs 100 nt control gene snoRNAs 300 nt snRNAs 200 nt pre-miR161 rRNAs 100 nt Supplemental Figure 5 500 Protein coding genes 400 wt Col ddm1 300 RPM 200 100 0 -100-90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 Distance to predicted target site Pol III complex RNase P RNase Z Transcription active tRNA gene pre-tRNA tRF biogenesis Protein biogenesis CCA CCA DCL1 mature-tRNA 5’ tRF CCA AGO1 5’ tRF TE mRNA cleavage Translation CCA CCA CCA AGO1 CCA (A)n 5’ tRF mRNA (A)n Supplemental Table 1. Mutant alleles used in this study Mutant Allele Background ddm1 ddm1-2 Col-0 dcl1 dcl1-11 Col-0 dcl2 dcl2-1 Col-0 ago1 ago1-27 Col-0 Supplemental Table 2. Primers used in this study Primer name Use in this study Sequence (5'-3') Athila 4C_1 5'RLM RACE GCAAGATAAGGAGGGTGGCTA Athila 4C_2 5'RLM RACE TCGACACTCTGGTCGTTTTG Athila 6A_1 5'RLM RACE GCAACTAGTCCTGAAGGGATTC Athila 6A_2 5'RLM RACE CCAATCCCTTGGGATAGAGAC AlaAGC_5'_tRF_probe Northern blot CCATCTGAGCTACATCCCC ArgTCT_probe Northern blot TCCATTAGGCCACGGGCGC LysTTT_probe Northern blot ACCACTGAGCTAAGACGGC miR161_probe Northern blot TAGTCACTTTCAATGCATTGA miR166_probe Northern blot GGGGAATGAAGCCTGGTCCGA U6_snRNA_probe Northern blot TCATCCTTGCGCAGGGGCCA pre-miR161_Forward RT-PCR TGCTTGATCTCGGTTTTTGACC pre-miR161_Forward RT-PCR TGCTTTTCCCTCTTTTTACAAATGC AlaAGC_RT_Forward RT-PCR GGGGATGTAGCTCAGATGG AlaAGC_RT_Reverse RT-PCR TGGTGGAGTGCGGGGTATCG LeuAAG_RT_Forward RT-PCR GTTGATATGGCCGAGTTGGTC LeuAAG_RT_Reverse RT-PCR TGGTGTTGACAGTGGGATTTG ArgTCT_RT_Forward RT-PCR GCGCCCGTGGCCTAATGGATA ArgTCT_RT_Reverse RT-PCR TGGCACGCCCGGTGGGACTCG MetCAT_RT_Forward RT-PCR GGGGTGGTGGCGCAGGTTGGCT MetCAT_RT_Reverse RT-PCR TGGTGGGGTGAGAGAGGTCG KRP6_promoter_Forward Cloning CACCTCGTTGTTGCATCAGTCACTTAATTATTAC KRP6_promoter_21nt_mock_H2B_Reverse Cloning ATCTGCCTTCGCCATTAACTGTCTAACGTAGGCACCtctctcttggatttttgtgtgc KRP6_promoter_21nt_Athila_H2B_Reverse Cloning ATCTGCCTTCGCCATGAACCATGCCTAGATTGCTCTtctctcttggatttttgtgtgc H2B_Forward Cloning ATGGCGAAGGCAGATAAGAAACCAG H2B_Reverse Cloning AGAACTCGTAAACTTCGTAACCG Athila 4C_qPCR_Forward qPCR TCCTTCTCTTCTGCATGTCG Athila 4C_qPCR_Reverse qPCR GGCAGCTGATATGGAAGAGC Athila 6A_qPCR_Forward qPCR CGACATTGAGTTTTTGCTTCA Athila 6A_qPCR_Reverse qPCR TGCGGAATCTGAATAACTTGG Supplemental Table 3. sRNA and PARE libraries used in this study Library type Organism Tissue Genotype Use in this work Reference Public database refence number Database webpage Figure sRNA A.thaliana Leaf wt Col Leaf bioreplicate 1 [65] GSM773795 http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Leaf wt Col Leaf bioreplicate 2 [65] GSM773794 http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Leaf wt Col Leaf bioreplicate 3 [65] GSM773793 http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Inflorescence wt Col Inflorescence bioreplicate 1/ddm1 control inflorescence 1 [3] GSM1495677 http://www.ncbi.nlm.nih.gov/geo/ Figure 1/Figure 3 sRNA A.thaliana Inflorescence wt Col Inflorescence bioreplicate 2 this study - http://www.ncbi.nlm.nih.gov/geo/ Figure 1/Figure 3 sRNA A.thaliana Pollen wt Col Pollen bioreplicate 1 [3] RMKS01 https://mpss.udel.edu Figure 1 sRNA A.thaliana Pollen wt Col Pollen bioreplicate 2 this study - http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Pollen wt Col Pollen bioreplicate 3 this study - http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Pollen wt Col Pollen bioreplicate 4 this study - http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Pollen wt Col Pollen bioreplicate 5 this study - http://www.ncbi.nlm.nih.gov/geo/ Figure 1 sRNA A.thaliana Inflorescence ddm1 ddm1 bioreplicate 1 [3] GSM1495678 http://www.ncbi.nlm.nih.gov/geo/ Figure 3/Figure 4 sRNA A.thaliana Inflorescence ddm1 ddm1 bioreplicate 2 [17] GSM1278498 http://www.ncbi.nlm.nih.gov/geo/ Figure 3/Figure 4 sRNA A.thaliana Inflorescence ddm1 ddm1 bioreplicate 3 [17] GSM1278503 http://www.ncbi.nlm.nih.gov/geo/ Figure 3/Figure 4 sRNA A.thaliana seedling wt Col wt Col seedling [66] GSM338557 http://www.ncbi.nlm.nih.gov/geo/ Supp Figure 3 sRNA A.thaliana seedling ddm1 ddm1 seedling [66] GSM338558 http://www.ncbi.nlm.nih.gov/geo/ Supp Figure 3 sRNA A.thaliana Inflorescence wt Col wt Col control of met1 and ddc mutants [68] GSM277608 http://www.ncbi.nlm.nih.gov/geo/ Supp Figure 3 sRNA A.thaliana Inflorescence met1 met1 [68] GSM277609 http://www.ncbi.nlm.nih.gov/geo/ Supp Figure 3 sRNA A.thaliana Inflorescence ddc ddc [68] GSM277610 http://www.ncbi.nlm.nih.gov/geo/ Supp Figure 3 sRNA A.thaliana AGO1 IP wt Col AGO1 IP wt Col bioreplicate 1 this study
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    cells Review Novel Roles of SH2 and SH3 Domains in Lipid Binding Szabolcs Sipeki 1,†, Kitti Koprivanacz 2,†, Tamás Takács 2, Anita Kurilla 2, Loretta László 2, Virag Vas 2 and László Buday 1,2,* 1 Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University Medical School, 1094 Budapest, Hungary; [email protected] 2 Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary; [email protected] (K.K.); [email protected] (T.T.); [email protected] (A.K.); [email protected] (L.L.); [email protected] (V.V.) * Correspondence: [email protected] † Both authors contributed equally to this work. Abstract: Signal transduction, the ability of cells to perceive information from the surroundings and alter behavior in response, is an essential property of life. Studies on tyrosine kinase action fundamentally changed our concept of cellular regulation. The induced assembly of subcellular hubs via the recognition of local protein or lipid modifications by modular protein interactions is now a central paradigm in signaling. Such molecular interactions are mediated by specific protein interaction domains. The first such domain identified was the SH2 domain, which was postulated to be a reader capable of finding and binding protein partners displaying phosphorylated tyrosine side chains. The SH3 domain was found to be involved in the formation of stable protein sub-complexes by constitutively attaching to proline-rich surfaces on its binding partners. The SH2 and SH3 domains have thus served as the prototypes for a diverse collection of interaction domains that recognize not only proteins but also lipids, nucleic acids, and small molecules.
  • Role of the Ras-Association Domain Family 1 Tumor Suppressor Gene in Human Cancers

    Role of the Ras-Association Domain Family 1 Tumor Suppressor Gene in Human Cancers

    Review Role of the Ras-Association Domain Family 1 Tumor Suppressor Gene in Human Cancers Angelo Agathanggelou, Wendy N. Cooper, and Farida Latif Section of Medical and Molecular Genetics, Division of Reproductive and Child Health, The Institute of Biomedical Research, University of Birmingham, Edgbaston, Birmingham, United Kingdom Abstract renal cell carcinomas was identified from region 3p25 confirming In recent years, the list of tumor suppressor genes (or this hypothesis (3). This prompted the search for TSGs within the candidate TSG) that are inactivated frequently by epigenetic other regions of 3p. An important TSG was suspected to reside in events rather than classic mutation/deletion events has been 3p21.3 because instability of this region is the earliest and most growing. Unlike mutational inactivation, methylation is frequently detected deficiency in lung cancer. Overlapping homo- reversible and demethylating agents and inhibitors of histone zygous deletions in lung and breast tumor cell lines reduced the deacetylases are being used in clinical trails. Highly sensitive critical region in 3p21.3 to 120 kb and this region was found to be and quantitative assays have been developed to assess exceptionally gene rich. From this critical region, eight genes were methylation in tumor samples, early lesions, and bodily fluids. identified, including CACNA2D2, PL6/placental protein 6, CYB561D2/101F6, TUSC4/NPRL2/G21, ZMYND10/BLU, RASSF1/ Hence, gene silencing by promoter hypermethylation has potential clinical benefits in early cancer diagnosis, prognosis, 123F2, TUSC2/FUS1, and HYAL2/LUCA2. However, despite extensive treatment, and prevention. The hunt for a TSG located at genetic analysis in lung and breast tumors, none of these candidate 3p21.3 resulted in the identification of the RAS-association genes were frequently mutated.