Publications by authors named "Rima M Sakhawala"

Many microRNA (miRNA)-guided Argonaute proteins can cleave RNA ('slicing'), even though miRNA-mediated target repression is generally cleavage-independent. Here we use Caenorhabditis elegans to examine the role of catalytic residues of miRNA Argonautes in organismal development. In contrast to previous work, mutations in presumed catalytic residues did not interfere with development when introduced by CRISPR.

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Article Synopsis
  • RNA polymerase III (Pol III) is important for making tRNAs and small RNAs, and when it doesn't work right, it can cause health problems in people.
  • Scientists studied a specific problem in a gene that caused mistakes in how RNA is processed and led to changes in some proteins that Pol III needs.
  • They found that people with this mutation had different types of tRNA fragments in their cells, which could help scientists understand the Pol III system better and create new tests for related health issues.
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Many Argonaute proteins can cleave RNA ("slicing") as part of the microRNA-induced silencing complex (miRISC), even though miRNA-mediated target repression is generally independent of target cleavage. Here we use genome editing in to examine the role of miRNA-guided slicing in organismal development. In contrast to previous work, slicing-inactivating mutations did not interfere with normal development when introduced by CRISPR.

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RNA polymerase III achieves high level tRNA synthesis by termination-associated reinitiation-recycling that involves the essential C11 subunit and heterodimeric C37/53. The C11-CTD (C-terminal domain) promotes Pol III active center-intrinsic RNA 3'-cleavage although deciphering function for this activity has been complicated. We show that the isolated NTD (N-terminal domain) of C11 stimulates Pol III termination by C37/53 but not reinitiation-recycling which requires the NTD-linker (NTD-L).

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Within the budding yeasts, the opportunistic pathogen and other members of the clade have developed virulence traits independently from and To begin exploring the genetic basis of virulence and its innate resistance to antifungals, we launched the transposon from a plasmid and sequenced more than 500,000 different semi-random insertions throughout the genome. With machine learning, we identified 1278 protein-encoding genes (25% of total) that could not tolerate transposon insertions and are likely essential for fitness Interestingly, genes involved in mRNA splicing were less likely to be essential in than their orthologs in , whereas the opposite is true for genes involved in kinetochore function and chromosome segregation. When a pool of insertion mutants was challenged with the first-line antifungal fluconazole, insertions in several known resistance genes (, , , , , , , ) and 15 additional genes (including , , ) became hypersensitive to fluconazole.

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