{"id":505648,"date":"2026-03-05T18:03:14","date_gmt":"2026-03-05T18:03:14","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/505648\/"},"modified":"2026-03-05T18:03:14","modified_gmt":"2026-03-05T18:03:14","slug":"dicer-cleavage-fidelity-is-governed-by-5%e2%80%b2-end-binding-pockets","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/505648\/","title":{"rendered":"DICER cleavage fidelity is governed by 5\u2032-end binding pockets"},"content":{"rendered":"<p>Plasmid construction<\/p>\n<p>The pXG-10\u00d7His-DICER plasmid was generated by inserting a DNA sequence encoding human DICER (amino acids 25\u20131922) and a sequence encoding a 10-histidine tag at the N\u2009terminus of DICER into the pXG plasmid using the In-Fusion cloning kit (Takara). The pXG-10\u00d7His-DICER mutant variants were obtained through site-directed mutagenesis using the pXG-10\u00d7His-DICER plasmid as the template. Mutated sites were confirmed by Sanger sequencing. A list of the plasmids and oligonucleotides used for their construction is provided in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM4\" rel=\"nofollow noopener\" target=\"_blank\">2<\/a>.<\/p>\n<p>The Dcr-1-bacmids were prepared as follows. The DNA coding sequence of Drosophila melanogaster Dicer-1 (Dcr-1) was obtained from cDNA synthesized using random hexamers and total RNA extracted from D. melanogaster cells. The coding sequence of Dcr-1 was cloned into the pBIG plasmid<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 42\" title=\"Weissmann, F. et al. biGBac enables rapid gene assembly for the expression of large multisubunit protein complexes. Proc. Natl Acad. Sci. USA 113, E2564&#x2013;E2569 (2016).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR42\" id=\"ref-link-section-d14283084e1391\" rel=\"nofollow noopener\" target=\"_blank\">42<\/a> using a restriction cloning scheme, resulting in the pBIG-Dcr-1 construct. The pBIG-Dcr-1 plasmids were introduced into DH10EMBacY E. coli cells to produce Dcr-1-bacmids. After blue\u2013white selection on agar plates containing Bluo-gal, IPTG and antibiotics, Dcr-1-bacmids were isolated from white colonies testing positive. Purification of bacmids was performed using alkaline lysis and alcohol precipitation methods. The presence of the gene encoding Dcr-1 within the bacmids was confirmed by PCR using the pUC-M13 primer pair. The primers used for generating pBIG-Dcr-1 and amplifying the Dcr-1 coding sequence are listed in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM4\" rel=\"nofollow noopener\" target=\"_blank\">2.<\/a><\/p>\n<p>Protein expression<\/p>\n<p>Wild-type human DICER and mutant variants were expressed using the human cell system HEK293E, as previously described<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Nguyen, T. D., Trinh, T. A., Bao, S. &amp; Nguyen, T. A. Secondary structure RNA elements control the cleavage activity of DICER. Nat. Commun. 13, 2138 (2022).\" href=\"#ref-CR34\" id=\"ref-link-section-d14283084e1408\">34<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Le, C. T., Nguyen, T. D. &amp; Nguyen, T. A. Two-motif model illuminates DICER cleavage preferences. Nucleic Acids Res. 52, 1860&#x2013;1877 (2024).\" href=\"#ref-CR35\" id=\"ref-link-section-d14283084e1408_1\">35<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 36\" title=\"Le, T. N. Y., Le, C. T. &amp; Nguyen, T. A. Determinants of selectivity in the dicing mechanism. Nat. Commun. 15, 8989 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR36\" id=\"ref-link-section-d14283084e1411\" rel=\"nofollow noopener\" target=\"_blank\">36<\/a>. The DICER plasmids were prepared using the MaxiPrep kit (Thermo Fisher Scientific). HEK293E cells were cultured in 100-mm dishes in Dulbecco\u2019s modified Eagle\u2019s medium (DMEM) supplemented with 5% fetal bovine serum (FBS) at 37\u2009\u00b0C. Each 100-mm dish was transfected with 10\u2009\u00b5g of plasmid DNA and 30\u2009\u00b5g of linear polyethyleneimine (L-PEI) as the transfection reagent. Cells were collected 72\u2009h after transfection.<\/p>\n<p>For the baculovirus system, Dcr-1-bacmids were transfected into Sf9 cells (provided by S. Dang), which were cultured in in a six-well plate in 2\u2009ml ESF-921 (Expression Systems) per well using the CellFectin II reagent (Thermo Fisher Scientific) to generate the initial baculovirus stock (P0). The virus was subsequently amplified through two additional passages to achieve a viral titre that was sufficient for efficient protein expression. Sf9 cells infected with the appropriate amount of virus were collected 72\u2009h after infection in a shaking incubator at 27\u2009\u00b0C.<\/p>\n<p>Protein purification<\/p>\n<p>For DICER purification, we collected approximately 100 dishes (100-mm) of HEK293E cells expressing DICER. For Dcr-1, we collected around 200\u2009ml cell culture of approximately 400\u2009million insect cells expressing Dcr-1. The purification procedures for the two proteins were similar and are described below.<\/p>\n<p>The cell pellets were resuspended in a lysis buffer at a ratio of 1:10 (cell pellet:buffer volume). The lysis buffer consisted of 50\u2009mM Tris-HCl (pH 8.0), 150\u2009mM NaCl, 4\u2009mM \u03b2-mercaptoethanol and 10% glycerol, and was supplemented with RNase A and a protease inhibitor cocktail. After resuspension, the cells were subjected to a brief sonication step to disrupt the cell membranes. The lysates were then clarified by high-speed centrifugation at 18,000\u2009rpm for 30\u2009min.<\/p>\n<p>The clarified supernatant was immediately applied to a pre-equilibrated Ni-NTA column. Unbound and nonspecifically bound proteins were removed with wash buffers containing either 150\u2009mM NaCl or 1,000\u2009mM NaCl, supplemented with 25\u2009mM imidazole. His-tagged proteins were eluted from the Ni-NTA beads using an elution buffer (T150) containing 50\u2009mM Tris-HCl (pH 8.0), 150\u2009mM NaCl, 4\u2009mM \u03b2-mercaptoethanol and 200\u2009mM imidazole. The eluate was then applied to Q-Sepharose beads at 100\u2009mM NaCl, and the bound proteins were eluted at 500\u2009mM NaCl to achieve higher purity.<\/p>\n<p>The partially purified protein was further processed using gel-filtration chromatography (Bio-Rad NGC). The final elution buffer consisted of 50\u2009mM Tris (pH 7.5), 500\u2009mM NaCl, 0.5\u2009mM TCEP and 10% glycerol. Peak fractions were collected, pooled and concentrated using Centricon devices with a cut-off of 100\u2009kDa. The concentrated protein was rapidly frozen in liquid nitrogen and stored at \u221280\u2009\u00b0C for future use.<\/p>\n<p>In vitro pre-miRNA dicing assay<\/p>\n<p>The pre-miRNAs were synthesized using the method described in our previous studies<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Nguyen, T. D., Trinh, T. A., Bao, S. &amp; Nguyen, T. A. Secondary structure RNA elements control the cleavage activity of DICER. Nat. Commun. 13, 2138 (2022).\" href=\"#ref-CR34\" id=\"ref-link-section-d14283084e1443\">34<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" title=\"Le, C. T., Nguyen, T. D. &amp; Nguyen, T. A. Two-motif model illuminates DICER cleavage preferences. Nucleic Acids Res. 52, 1860&#x2013;1877 (2024).\" href=\"#ref-CR35\" id=\"ref-link-section-d14283084e1443_1\">35<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 36\" title=\"Le, T. N. Y., Le, C. T. &amp; Nguyen, T. A. Determinants of selectivity in the dicing mechanism. Nat. Commun. 15, 8989 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR36\" id=\"ref-link-section-d14283084e1446\" rel=\"nofollow noopener\" target=\"_blank\">36<\/a>. The oligonucleotides used for each RNA were synthesized by a commercial company (BGI). We performed two sequential PCR reactions to generate IVT-DNA sequences containing the T7 promoter, hammerhead ribozyme sequence, pre-miRNA sequence and HDV ribozyme sequence. A total of 200\u2009ng of IVT-DNA was added to a 20-\u00b5l in vitro transcription reaction using the MEGAscript T7 kit, and the reaction was incubated overnight at 37\u2009\u00b0C. The RNA products were treated with 40\u2009mM MgCl2 to activate the ribozyme reaction, resulting in pre-miRNAs with a 3\u2032-phosphate and a 5\u2032-OH group. The pre-miRNAs were then treated with T4 Polynucleotide Kinase (T4 PNK) to convert the 3\u2032-phosphate and 5\u2032-OH groups into 3\u2032-OH and 5\u2032-phosphate, respectively. The oligos that were used to produce pre-miRNAs are listed in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM5\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a>.<\/p>\n<p>The in vitro pre-miRNA dicing assay was performed in a 10\u2009\u00b5l reaction mixture containing 50\u2009mM Tris-HCl (pH 7.5), 150\u2009mM NaCl, 10% glycerol, 1\u2009mM DTT and 2\u2009mM MgCl2. Approximately 2\u2009pmol of pre-miRNA was incubated with 1\u20132\u2009pmol of purified recombinant DICER for 30\u2009min at 37\u2009\u00b0C. The reaction was terminated by adding 2\u00d7 TBE loading buffer containing 10\u2009\u00b5g\u2009ml\u22121 of proteinase K, followed by heat treatment at 50\u2009\u00b0C for 15\u2009min. The reaction mixture was then denatured at 95\u2009\u00b0C for 5\u2009min before being loaded onto a pre-run 15% urea\u2013denaturing PAGE gel. Electrophoresis was performed for approximately 50\u2009min at 300\u2009V. The gel was stained with 0.1% SYBR Green II in TBE buffer for 8\u2009min and imaged using the Bio-Rad Gel Doc XR+ system. Quantification of product band intensities was performed using Image Lab v.6.0.1 software.<\/p>\n<p>Massively parallel dicing assays for randomized pre-mir-324 and library constructionSynthesis of randomized pre-mir-324<\/p>\n<p>The in vitro synthesis of four randomized pre-mir-324 groups, each containing three randomized nucleotides at the 3\u2032-end and one of four specific nucleotides at the 5\u2032-end, was performed as follows. Note that we removed the 5\u2032-bulged U near the 5\u2032 cleavage site so that the F1 and F3 fragments generated by DICER have the same length, simplifying gel-based interpretation of cleavage. For each group, forward and reverse primers with overlapping regions were annealed and extended by a single-cycle PCR using the Klenow exo fragment to produce double-stranded DNA (dsDNA-1) containing the hammerhead ribozyme and pre-miRNA regions. Each group used a unique forward primer, and all groups shared the same reverse primer. In the second PCR step, a new set of primers was used. The reverse primer introduced three randomized nucleotides at the 3\u2032-end of pre-mir-324, and the forward primer included the T7 promoter and the hammerhead ribozyme sequence. The resulting DNA from the second PCR, referred to as IVT-dsDNA for each group, contained the T7 promoter, hammerhead ribozyme sequence and pre-miRNA sequence. Approximately 400\u2009ng of purified dsDNA from each group was used as the template for in vitro transcription. The oligonucleotides used for this process are listed in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM6\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>.<\/p>\n<p>The in vitro transcription reaction was performed at 37\u2009\u00b0C for 12\u2009h using the MEGAscript T7 kit (Thermo Fisher Scientific). Afterwards, 40\u2009mM MgCl2 was added to activate the hammerhead ribozyme\u2019s self-cleavage, separating the pre-miRNA sequence (now with a 5\u2032-OH) from the ribozyme. The reaction mixture was subjected to three thermal cycles (72\u2009\u00b0C for 1\u2009min, 65\u2009\u00b0C for 5\u2009min and 37\u2009\u00b0C for 10\u2009min) to facilitate ribozyme activity. The RNA products were resolved on an 8% urea\u2013denaturing PAGE gel (300\u2009V, 40\u2009min), and the pre-miRNA band was excised on the basis of its expected size. The RNA was extracted using an elution buffer (500\u2009mM NaCl and 5\u2009mM EDTA, pH 8.0) to prevent cation-dependent degradation and purified by isopropanol precipitation. The purified RNA was treated with T4 PNK (Thermo Fisher Scientific) in Thermo Buffer A to convert its 5\u2032-OH to a 5\u2032-phosphate. A final isopropanol purification yielded the randomized pre-miRNAs, which were stored at \u221280\u2009\u00b0C for downstream assays.<\/p>\n<p>Massively parallel dicing assays for randomized pre-mir-324<\/p>\n<p>For the massively parallel dicing assays, 2\u2009pmol of each of the four randomized groups of pre-mir-324 (groups A, U, G and C, based on the 5\u2032-nt) were independently processed with approximately 1\u2009pmol of recombinant human DICER or D. melanogaster Dcr-1 at 37\u2009\u00b0C for 30\u2009min. The reactions were terminated by adding 2\u00d7 TBE sample loading buffer supplemented with 10\u2009\u00b5g\u2009ml\u22121 proteinase K. The mixtures were incubated at 50\u2009\u00b0C for 15\u2009min, denatured and resolved on a 12% urea\u2013denaturing PAGE gel, separating cleaved products from substrates. Cleaved product bands were excised from the gel and purified using an ethanol\u2013isopropanol precipitation with GlycoBlue (Thermo Fisher Scientific) as a co-precipitant.<\/p>\n<p>Construction of sequencing libraries<\/p>\n<p>To prepare libraries for the original pre-mir-324 substrates, the circular ligation scheme was used. A total of 2\u2009pmol of pooled RNA from all four groups (A, U, G and C) was ligated with a 4N-RA3 oligo using T4 RNA Ligase 2-truncated KQ (Thermo Fisher Scientific). The ligated RNA was reverse-transcribed with a 6N-R-RA3-cirRTP primer at 50\u2009\u00b0C for 15\u2009min using SuperScript IV Reverse Transcriptase (Invitrogen). After reverse transcription, the original RNA was degraded by treating the reaction with 0.1\u2009M NaOH at 90\u2009\u00b0C for 10\u2009min. The cDNA was purified by 12% urea\u2013denaturing PAGE gel fallowed by ethanol precipitation. The purified cDNA was circularized with CircLigase ssDNA ligase (Epicentre) and separated from linear cDNA on an 18% urea\u2013denaturing PAGE gel. The circularized cDNA served as the template for a final PCR, performed using RP1 and RPx primers from the TruSeq Illumina system, to generate the DNA library for original substrates.<\/p>\n<p>For the cleaved products, separate libraries were constructed for each of the four groups (A, U, G and C). Each RNA sample was ligated with the 4N-RA3 primer using T4 RNA Ligase 2-truncated KQ. After ligation, the samples were resolved on a 12% urea\u2013denaturing PAGE gel to separate ligated products from unligated oligos. The ligated products were then ligated with the 4N-RA5 RNA oligo using T4 RNA Ligase 1. The double-ligated RNA was reverse-transcribed with the R-RA3 primer using Superscript IV Reverse Transcriptase. The resulting cDNA pools were used as templates for the final PCR with RP1 and RPIx primers from the TruSeq Illumina system, generating DNA libraries for cleaved products. Separate libraries were prepared for each of the four subgroups (A, U, G and C).<\/p>\n<p>These libraries for both original substrates and cleaved products were sequenced using an Illumina NovaSeq 6000 in 150-bp paired-end mode (HaploX). The oligonucleotides used for library preparation are listed in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM6\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>.<\/p>\n<p>Analysis of massively parallel dicing assays for randomized pre-mir-324<\/p>\n<p>The raw sequencing reads were processed using the following pipeline. First, the 3\u2032 and 5\u2032 adapter sequences were removed using the cutadapt tool<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 43\" title=\"Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads EMBnet. J. 17, 10&#x2013;12 (2011).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR43\" id=\"ref-link-section-d14283084e1522\" rel=\"nofollow noopener\" target=\"_blank\">43<\/a> with the command cutadapt -a TGGAATTCTCGGGTGCCAAGG -A GATCGTCGGACTGTAGAACTCTGAAC. Next, paired-end reads were joined using the fastq-join tool with default parameters. After obtaining the joined reads, low-quality reads were filtered out using the fastq_quality_filter tool with the parameters -q 20 -p 90<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 44\" title=\"Aronesty, E. Comparison of sequencing utility programs. Open Bioinform. J. 7, 1&#x2013;8 (2013).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR44\" id=\"ref-link-section-d14283084e1526\" rel=\"nofollow noopener\" target=\"_blank\">44<\/a>.<\/p>\n<p>The reads were then collapsed using the fastx_collapser tool to remove duplicates that shared the same ligation barcode (<a href=\"http:\/\/hannonlab.cshl.edu\/fastx_toolkit\/index.html\" rel=\"nofollow noopener\" target=\"_blank\">http:\/\/hannonlab.cshl.edu\/fastx_toolkit\/index.html<\/a>, v.0.0.13). After this, a second round of trimming with cutadapt was performed to remove the 4N\/4N and 6N\/4N ligation barcodes at the 5\u2032- and 3\u2032-ends of the product reads and original substrate reads, respectively.<\/p>\n<p>The processed reads were mapped to the pre-mir-324 reference sequence using the BWA mapping toolkit<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 45\" title=\"Li, H. &amp; Durbin, R. Fast and accurate short read alignment with Burrows&#x2013;Wheeler transform. Bioinformatics 25, 1754&#x2013;1760 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR45\" id=\"ref-link-section-d14283084e1543\" rel=\"nofollow noopener\" target=\"_blank\">45<\/a>. Only reads that were perfectly mapped to a single variant (out of 64 variants for each subgroup) were selected for further analysis. These reads contained the randomized sequence at 3\u2032-ends and the DICER cleavage sites at 5\u2032-ends.<\/p>\n<p>For each pre-mir-324 variant (for example, var1), mapped read counts in the substrate sample were normalized to the total substrate reads and converted to reads per million (RPM), denoted as Control(var1). In the product sample, mapped read counts for each cleaved product were similarly normalized to the total product reads and converted to RPM. A given variant can yield multiple cleaved products with distinct 5\u2032-ends that correspond to different DICER cleavage sites. Let NPx denote the RPM of the cleaved product whose DICER cleavage site is at position x. Cleavage accuracy for position x within a variant is defined as the fraction of reads at x among all cleavage positions observed for that variant, Accuracyx(var1)\u2009=\u2009NPx\/\u03a3iNPi. Cleavage efficiency for position x within a variant is defined as the fraction of product reads at x relative to the total substrate abundance of that variant, Efficiencyx(var1)\u2009=\u2009NPx\/Control(var1).<\/p>\n<p>Pre-miRNA structure analysis<\/p>\n<p>To investigate the effect of the 5\u2032-nt on selection of DICER cleavage sites in human pre-miRNA dicing, we used data from our previous study about the enrichment of the YCR motif for analysis<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 35\" title=\"Le, C. T., Nguyen, T. D. &amp; Nguyen, T. A. Two-motif model illuminates DICER cleavage preferences. Nucleic Acids Res. 52, 1860&#x2013;1877 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR35\" id=\"ref-link-section-d14283084e1603\" rel=\"nofollow noopener\" target=\"_blank\">35<\/a>. Sequences and major cleavage sites of 566 human pre-miRNAs were collected from MirGeneDB<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 40\" title=\"Fromm, B. et al. MirGeneDB 2.0: the metazoan microRNA complement. Nucleic Acids Res. 48, D132&#x2013;D141 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR40\" id=\"ref-link-section-d14283084e1607\" rel=\"nofollow noopener\" target=\"_blank\">40<\/a>. The secondary structures of the pre-miRNA sequences were predicted using RNAfold (ViennaRNA Package)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 46\" title=\"Lorenz, R. et al. ViennaRNA Package 2.0. Algorithms Mol. Biol. 6, 26 (2011).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR46\" id=\"ref-link-section-d14283084e1611\" rel=\"nofollow noopener\" target=\"_blank\">46<\/a>. To pinpoint DICER cutting sites for each pre-miRNA, we analysed either the 5\u2032-terminus of the mature 3\u2032-strand miRNAs or the 3\u2032-terminus of the mature 5\u2032-strand miRNAs. The presence and position of YCR motifs in pre-miRNAs were identified previously<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 35\" title=\"Le, C. T., Nguyen, T. D. &amp; Nguyen, T. A. Two-motif model illuminates DICER cleavage preferences. Nucleic Acids Res. 52, 1860&#x2013;1877 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR35\" id=\"ref-link-section-d14283084e1615\" rel=\"nofollow noopener\" target=\"_blank\">35<\/a>. The pre-miRNA sequences, their corresponding miRNA sequences and the YCR motifs identified are presented in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM7\" rel=\"nofollow noopener\" target=\"_blank\">5<\/a>.<\/p>\n<p>In vitro reconstitution of DICER with shRNAs<\/p>\n<p>The chemically synthesized shRNAs 26S-GU (5\u2032-pGGGAUAUUUCUCGCAGAUCUCAUGUGAAAAAAAAAACACAUGACAUCUGUGAGAAAUAUUCUUA) and 26S-UG (5\u2032-pUGGAUAUUUCUCGCAGAUCUCAUGUGAAAAAAAAAACACAUGACAUCUGUGAGAAAUAUUCGUA) and pre-mir-517a_GU (5\u2032-pGCUCUAGAUGGAAGCACUGUCUGUUGUAUAAAAGAAAAGAUCGUGCAUCCCUUUAGAGUGU) were obtained from GenCefe and dissolved in RNase-free water to a final concentration of around 100\u2009\u00b5M.<\/p>\n<p>To assemble the RNA\u2013protein complex, 20\u2009pmol of DICER protein was mixed with 60\u2009pmol of shRNA or pre-mir-517a_GU in assembly buffer containing 50\u2009mM Tris-HCl (pH 8), 150\u2009mM NaCl, 0.5\u2009mM TCEP, 2\u2009mM Ca2+ and 5% glycerol. The reaction, performed in a 10-\u00b5l PCR tube, was incubated on ice for three hours before being loaded onto EM grids.<\/p>\n<p>Because shRNA binds to DICER at an estimated 1:1 ratio, a 3:1 RNA:protein ratio was used to ensure nearly complete occupancy of DICER by shRNA. Sample homogeneity was assessed by negative staining immediately before EM grid freezing.<\/p>\n<p>Preparation of cryo-EM samples<\/p>\n<p>The assembled samples for both DICER\u201326S-GU and DICER\u201326S-UG complexes were prepared using the same protocol. An aliquot of approximately 4\u2009\u00b5l sample was applied to glow-discharged Quantifoil R2\/2 300-mesh Cu grids. After application, the sample was blotted at 100% humidity and 4\u2009\u00b0C, followed by vitrification in liquid ethane using a Vitrobot Mark IV (Thermo Fisher Scientific; blot force 0, wait time 30\u2009s, blotting time 4\u2009s with blotting paper no.2) at the Biological Cryo-EM Center at Hong Kong University of Science and Technology (HKUST). Cryo-EM sample preparation for DICER\u2013pre-mir-517a_GU and DICER(D991G\/H992G)\u201326S-GU followed the same protocol as that for DICER\u201326S-GU, except that we used Quantifoil R1.2\/1.3 400-mesh Au grids. Grids were screened on a Glacios (Thermo Fisher Scientific) at 200\u2009keV, and those with evenly distributed particles and a suitable ice thickness were selected for data collection.<\/p>\n<p>Data collection was done using a 300-kV Titan Krios G3i cryo-TEM microscope (Thermo Fisher Scientific) located at the Biological Cryo-EM Center at HKUST. Microscope settings: Gatan K3 direct electron detector in counting mode; nominal magnification 81,000\u00d7 (physical pixel size 1.051\u2009\u00c5). Exposure: total dose 50 e\u2212\u2009\u00c5\u22122, fractionated into 40 frames (3.1\u2009s total); dose rate of around 17.7\u2009e\u2212 per pixel per second and around 1.25\u2009e\u2212\u2009\u00c5\u22122 per frame. Defocus: \u22121.0 to \u22122.4\u2009\u00b5m.<\/p>\n<p>For the DICER\u201326S-GU complex, 23,300 movies were collected from 5 datasets. The DICER\u201326S-UG complex included 11,241 movies from 3 datasets, DICER(D991G\/H992G)\u201326S-GU had 16,972 movies from 2 datasets and DICER\u2013pre-mir-517a_GU had 14,244 movies from 3 datasets. Detailed data collection parameters for these complexes are provided in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM3\" rel=\"nofollow noopener\" target=\"_blank\">1<\/a>.<\/p>\n<p>Cryo-EM data processing and 3D refinement<\/p>\n<p>All image processing was performed in cryoSPARC v.4.6.2 (Structura Biotechnology)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 47\" title=\"Punjani, A., Rubinstein, J. L., Fleet, D. J. &amp; Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290&#x2013;296 (2017).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR47\" id=\"ref-link-section-d14283084e1673\" rel=\"nofollow noopener\" target=\"_blank\">47<\/a>. Movies were corrected using Patch motion correction with default settings and binned to the physical pixel size, and CTF parameters were estimated per micrograph using Patch CTF estimation (with default setting, fit range of around 4\u201325\u2009\u00c5). Micrographs with poor CTF fits, thick ice or contamination were excluded after manual inspection.<\/p>\n<p>Particles were first identified by blob picking (radii 100\u2013250\u2009\u00c5) and extracted in 256-pixel boxes, followed by multiple rounds of 2D classification to remove junk and retain views characteristic of the DICER\u2013RNA dicing state. High-quality 2D classes were used as templates for template-based auto-picking (particle diameter 200\u2009\u00c5), after which additional 2D cleaning was performed. Cleaned particle sets of around 181,000 particles were seeded for ab initio reconstruction (C1 symmetry) to obtain initial volumes. The appropriate initial volume resembling DICER\u2013RNA complexes was selected and refined with non-uniform refinement to obtain the final maps.<\/p>\n<p>The final DICER\u201326S-UG map (641,317 particles) reached a resolution of 3.34\u2009\u00c5 by GS-FSC, and the DICER\u201326S-GU map (1,755,133 particles) reached 3.37\u2009\u00c5. The map of DICER(D991G\/H992G)\u201326S-GU (787,381 particles) reached a resolution of 3.29\u2009\u00c5 by GS-FSC. The maps of DICER\u2013pre-mir-517a_GU in the pre-dicing (1,272,937 particles) and dicing (475,650) state reached resolutions of 3.00\u2009\u00c5 and 3.21\u2009\u00c5 by GS-FSC, respectively. Maps were sharpened with CryoTEN (default settings) to obtain final maps for model building<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 48\" title=\"Selvaraj, J., Wang, L. &amp; Cheng, J. CryoTEN: efficiently enhancing cryo-EM density maps using transformers. Bioinformatics 41, btaf092 (2025).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR48\" id=\"ref-link-section-d14283084e1686\" rel=\"nofollow noopener\" target=\"_blank\">48<\/a>.<\/p>\n<p>Model building<\/p>\n<p>The published model of the DICER protein in the dicing state with pre-let-7a-1GYM (PDB: <a href=\"https:\/\/doi.org\/10.2210\/pdb7XW2\/pdb\" rel=\"nofollow noopener\" target=\"_blank\">7XW2<\/a>) was used as the initial protein model for the DICER\u201326S-GU, DICER\u201326S-UG and DICER\u2013pre-mir-517a_GU in dicing-state maps. The initial RNA models for 26S-UG, 26S-GU and pre-mir-517a_GU were generated using AlphaFold3 for three-dimensional (3D) RNA structure prediction<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 41\" title=\"Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493&#x2013;500 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR41\" id=\"ref-link-section-d14283084e1708\" rel=\"nofollow noopener\" target=\"_blank\">41<\/a>. The refined DICER\u201326S-GU model served as the starting model for DICER(D991G\/H992G)\u201326S-GU; D991G and H992G mutations were introduced in ChimeraX (v.1.7)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 49\" title=\"Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70&#x2013;82 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR49\" id=\"ref-link-section-d14283084e1712\" rel=\"nofollow noopener\" target=\"_blank\">49<\/a>. For the DICER\u2013pre-miR-517a_GU pre-dicing state, the apo structure (PDB: <a href=\"https:\/\/doi.org\/10.2210\/pdb7XW3\/pdb\" rel=\"nofollow noopener\" target=\"_blank\">7XW3<\/a>) was used as the initial model. These initial models were aligned with the cryo-EM density maps using the Fit-in-Map tool in ChimeraX v.1.7, followed by manual refinement in Coot (WinCoot v.0.9.8.96)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 49\" title=\"Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70&#x2013;82 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR49\" id=\"ref-link-section-d14283084e1724\" rel=\"nofollow noopener\" target=\"_blank\">49<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 50\" title=\"Emsley, P. &amp; Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D 60, 2126&#x2013;2132 (2004).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR50\" id=\"ref-link-section-d14283084e1727\" rel=\"nofollow noopener\" target=\"_blank\">50<\/a>. The manually fitted models were further refined using phenix.real_space_refine in PHENIX (v.1.20.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 51\" title=\"Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D 66, 213&#x2013;221 (2010).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR51\" id=\"ref-link-section-d14283084e1731\" rel=\"nofollow noopener\" target=\"_blank\">51<\/a>. Model validation was done with phenix.validation_cryoem<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 51\" title=\"Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D 66, 213&#x2013;221 (2010).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR51\" id=\"ref-link-section-d14283084e1735\" rel=\"nofollow noopener\" target=\"_blank\">51<\/a>.<\/p>\n<p>All figures presented in this study were generated using ChimeraX v.1.7<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 49\" title=\"Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70&#x2013;82 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR49\" id=\"ref-link-section-d14283084e1742\" rel=\"nofollow noopener\" target=\"_blank\">49<\/a> and PyMOL (Schr\u00f6dinger)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 52\" title=\"DeLano, W. L. Pymol: an open-source molecular graphics tool. CCP4 Newsl. Protein Crystallogr. 40, 82&#x2013;92 (2002).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR52\" id=\"ref-link-section-d14283084e1746\" rel=\"nofollow noopener\" target=\"_blank\">52<\/a>.<\/p>\n<p>Small-RNA analysis<\/p>\n<p>The DNA sequences coding for pri-miRNA (pre-miRNA sequences with a 20-nt extension on both ends) were cloned into the pcDNA3 vector using a ligation strategy. Detailed primer information is provided in Supplementary Table <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM4\" rel=\"nofollow noopener\" target=\"_blank\">2<\/a>. HCT116 DICER-knockout cells (provided by N. Kim) were cultured in six-well plates using McCoy\u2019s 5A medium supplemented with 10% FBS (Gibco). Transfections were performed with 1.5\u2009\u00b5g of either pXG-DICER-WT or pXG-DICER-D991G-H992G, along with 0.25\u2009\u00b5g of pcDNA3-pri-mir-517a_GU or pcDNA3-pri-mir-517a_UG, using lipofectamine. Total RNA was extracted 48\u2009h after transfection using TRIzol reagent (Invitrogen).<\/p>\n<p>We constructed RNA libraries from isolated small RNA fragments obtained from 4\u2009\u00b5g of total RNA per sample using a 12% urea\u2013PAGE gel. Library preparation was performed using the NEBNext Small RNA Library Prep Set for Illumina (NEB, E7330S). In brief, the purified small RNA fragments were first ligated to an adenylated 3\u2032 adapter (AppAGATCGGAAGAGCACACGTCT-NH2). To prevent excess adapter from interfering with subsequent steps, a reverse complementary oligonucleotide was used. The 3\u2032-ligated RNAs were then ligated to a 5\u2032 adapter (GUUCAGAGUUCUACAGUCCGACGAUC). After adapter ligation, the RNAs were reverse-transcribed into cDNA, which was subsequently amplified by PCR using indexed primers to generate DNA libraries. Each sample was prepared in three biological replicates.<\/p>\n<p>The small-RNA libraries were sequenced using the Illumina NovaSeq 6000 platform in 150-bp paired-end mode (HaploX). For sequencing data analysis, the adapters were first removed from read1 and read2 using the commands cutadapt -a AGATCGGAAGAGCACACGTCT and cutadapt -a GATCGTCGGACTGTAGAACTCTGAAC, respectively<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 45\" title=\"Li, H. &amp; Durbin, R. Fast and accurate short read alignment with Burrows&#x2013;Wheeler transform. Bioinformatics 25, 1754&#x2013;1760 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR45\" id=\"ref-link-section-d14283084e1767\" rel=\"nofollow noopener\" target=\"_blank\">45<\/a>. The reads were then concatenated using fastq-join, and low-quality reads were excluded using fastq_quality_filter with the parameters -q 20 -p 90<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 44\" title=\"Aronesty, E. Comparison of sequencing utility programs. Open Bioinform. J. 7, 1&#x2013;8 (2013).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR44\" id=\"ref-link-section-d14283084e1771\" rel=\"nofollow noopener\" target=\"_blank\">44<\/a>. The resulting reads were mapped to a customized reference containing pri-miRNA sequences using Bowtie2<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 53\" title=\"Langmead, B. &amp; Salzberg, S. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357&#x2013;359 (2012).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#ref-CR53\" id=\"ref-link-section-d14283084e1775\" rel=\"nofollow noopener\" target=\"_blank\">53<\/a>. Reads mapping to pri-miRNA sequences were selected for further analysis. The starting positions of reads mapped to the 3\u2032-miRNA regions were used to identify DICER cleavage sites. IsomiR frequency was calculated as the ratio of the positional RPM to the sum of all positional RPMs. We categorized the isomiRs into three groups\u2014DC21, DC22 and DC-other\u2014which correspond to DICER cleavage at DC21, DC22 and other positions, respectively.<\/p>\n<p>Reporting summary<\/p>\n<p>Further information on research design is available in the\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10211-5#MOESM2\" rel=\"nofollow noopener\" target=\"_blank\">Nature Portfolio Reporting Summary<\/a> linked to this article.<\/p>\n","protected":false},"excerpt":{"rendered":"Plasmid construction The pXG-10\u00d7His-DICER plasmid was generated by inserting a DNA sequence encoding human DICER (amino acids 25\u20131922)&hellip;\n","protected":false},"author":2,"featured_media":505649,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[140574,230051,1159,1160,79],"class_list":["post-505648","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science","tag-cryoelectron-microscopy","tag-enzyme-mechanisms","tag-humanities-and-social-sciences","tag-multidisciplinary","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/505648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=505648"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/505648\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/505649"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=505648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=505648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=505648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}