The energetic and allosteric landscape for KRAS inhibition.

Thousands of proteins have been validated genetically as therapeutic targets for human diseases1. However, very few have been successfully targeted, and many are considered 'undruggable'. This is particularly true for proteins that function via protein-protein interactions-direct inhibition of binding interfaces is difficult and requires the identification of allosteric sites. However, most proteins have no known allosteric sites, and a comprehensive allosteric map does not exist for any protein. Here we address this shortcoming by charting multiple global atlases of inhibitory allosteric communication in KRAS. We quantified the effects of more than 26,000 mutations on the folding of KRAS and its binding to six interaction partners. Genetic interactions in double mutants enabled us to perform biophysical measurements at scale, inferring more than 22,000 causal free energy changes. These energy landscapes quantify how mutations tune the binding specificity of a signalling protein and map the inhibitory allosteric sites for an important therapeutic target. Allosteric propagation is particularly effective across the central ß-sheet of KRAS, and multiple surface pockets are genetically validated as allosterically active, including a distal pocket in the C-terminal lobe of the protein. Allosteric mutations typically inhibit binding to all tested effectors, but they can also change the binding specificity, revealing the regulatory, evolutionary and therapeutic potential to tune pathway activation. Using the approach described here, it should be possible to rapidly and comprehensively identify allosteric target sites in many proteins.

A chromodomain protein mediates heterochromatin-directed piRNA expression.

PIWI-interacting RNAs (piRNAs) play significant roles in suppressing transposons, maintaining genome integrity, and defending against viral infections. How piRNA source loci are efficiently transcribed is poorly understood. Here, we show that in Caenorhabditis elegans, transcription of piRNA clusters depends on the chromatin microenvironment and a chromodomain-containing protein, UAD-2. piRNA clusters form distinct focus in germline nuclei. We conducted a forward genetic screening and identified UAD-2 that is required for piRNA focus formation. In the absence of histone 3 lysine 27 methylation or proper chromatin-remodeling status, UAD-2 is depleted from the piRNA focus. UAD-2 recruits the upstream sequence transcription complex (USTC), which binds the Ruby motif to piRNA promoters and promotes piRNA generation. Vice versa, the USTC complex is required for UAD-2 to associate with the piRNA focus. Thus, transcription of heterochromatic small RNA source loci relies on coordinated recruitment of both the readers of histone marks and the core transcriptional machinery to DNA.

CDE-1 suppresses the production of risiRNA by coupling polyuridylation and degradation of rRNA.

BACKGROUND: Modification of RNAs, particularly at the terminals, is critical for various essential cell processes; for example, uridylation is implicated in tumorigenesis, proliferation, stem cell maintenance, and immune defense against viruses and retrotransposons. Ribosomal RNAs can be regulated by antisense ribosomal siRNAs (risiRNAs), which downregulate pre-rRNAs through the nuclear RNAi pathway in Caenorhabditis elegans. However, the biogenesis and regulation of risiRNAs remain obscure. Previously, we showed that 26S rRNAs are uridylated at the 3'-ends by an unknown terminal polyuridylation polymerase before the rRNAs are degraded by a 3' to 5' exoribonuclease SUSI-1(ceDIS3L2). RESULTS: Here, we found that CDE-1, one of the three C.elegans polyuridylation polymerases (PUPs), is specifically involved in suppressing risiRNA production. CDE-1 localizes to perinuclear granules in the germline and uridylates Argonaute-associated 22G-RNAs, 26S, and 5.8S rRNAs at the 3'-ends. Immunoprecipitation followed by mass spectrometry (IP-MS) revealed that CDE-1 interacts with SUSI-1(ceDIS3L2). Consistent with these results, both CDE-1 and SUSI-1(ceDIS3L2) are required for the inheritance of RNAi. CONCLUSIONS: This work identified a rRNA surveillance machinery of rRNAs that couples terminal polyuridylation and degradation.

Functional Proteomics Identifies a PICS Complex Required for piRNA Maturation and Chromosome Segregation.

piRNAs play significant roles in suppressing transposons and nonself nucleic acids, maintaining genome integrity, and defending against viral infections. In C. elegans, piRNA precursors are transcribed in the nucleus and are subjected to a number of processing and maturation steps. The biogenesis of piRNAs is not fully understood. We use functional proteomics in C. elegans and identify a piRNA biogenesis and chromosome segregation (PICS) complex. The PICS complex contains TOFU-6, PID-1, PICS-1, TOST-1, and ERH-2, which exhibit dynamic localization among different subcellular compartments. In the germlines, the PICS complex contains TOFU-6/PICS-1/ERH-2/PID-1, is largely concentrated at the perinuclear granule zone, and engages in piRNA processing. During embryogenesis, the TOFU-6/PICS-1/ERH-2/TOST-1 complex accumulates in the nucleus and plays essential roles in chromosome segregation. The functions of these factors in mediating chromosome segregation are independent of piRNA production. We speculate that differential compositions of PICS factors may help cells coordinate distinct cellular processes.

The USTC co-opts an ancient machinery to drive piRNA transcription in C. elegans.

Piwi-interacting RNAs (piRNAs) engage Piwi proteins to suppress transposons and nonself nucleic acids and maintain genome integrity and are essential for fertility in a variety of organisms. In Caenorhabditis elegans, most piRNA precursors are transcribed from two genomic clusters that contain thousands of individual piRNA transcription units. While a few genes have been shown to be required for piRNA biogenesis, the mechanism of piRNA transcription remains elusive. Here we used functional proteomics approaches to identify an upstream sequence transcription complex (USTC) that is essential for piRNA biogenesis. The USTC contains piRNA silencing-defective 1 (PRDE-1), SNPC-4, twenty-one-U fouled-up 4 (TOFU-4), and TOFU-5. The USTC forms unique piRNA foci in germline nuclei and coats the piRNA cluster genomic loci. USTC factors associate with the Ruby motif just upstream of type I piRNA genes. USTC factors are also mutually dependent for binding to the piRNA clusters and forming the piRNA foci. Interestingly, USTC components bind differentially to piRNAs in the clusters and other noncoding RNA genes. These results reveal the USTC as a striking example of the repurposing of a general transcription factor complex to aid in genome defense against transposons.

Erroneous ribosomal RNAs promote the generation of antisense ribosomal siRNA.

Ribosome biogenesis is a multistep process, during which mistakes can occur at any step of pre-rRNA processing, modification, and ribosome assembly. Misprocessed rRNAs are usually detected and degraded by surveillance machineries. Recently, we identified a class of antisense ribosomal siRNAs (risiRNAs) that down-regulate pre-rRNAs through the nuclear RNAi pathway. To further understand the biological roles of risiRNAs, we conducted both forward and reverse genetic screens to search for more suppressor of siRNA (susi) mutants. We isolated a number of genes that are broadly conserved from yeast to humans and are involved in pre-rRNA modification and processing. Among them, SUSI-2(ceRRP8) is homologous to human RRP8 and engages in m1A methylation of the 26S rRNA. C27F2.4(ceBUD23) is an m7G-methyltransferase of the 18S rRNA. E02H1.1(ceDIMT1L) is a predicted m6(2)Am6(2)A-methyltransferase of the 18S rRNA. Mutation of these genes led to a deficiency in modification of rRNAs and elicited accumulation of risiRNAs, which further triggered the cytoplasmic-to-nuclear and cytoplasmic-to-nucleolar translocations of the Argonaute protein NRDE-3. The rRNA processing deficiency also resulted in accumulation of risiRNAs. We also isolated SUSI-3(RIOK-1), which is similar to human RIOK1, that cleaves the 20S rRNA to 18S. We further utilized RNAi and CRISPR-Cas9 technologies to perform candidate-based reverse genetic screens and identified additional pre-rRNA processing factors that suppressed risiRNA production. Therefore, we concluded that erroneous rRNAs can trigger risiRNA generation and subsequently, turn on the nuclear RNAi-mediated gene silencing pathway to inhibit pre-rRNA expression, which may provide a quality control mechanism to maintain homeostasis of rRNAs.

A Cytoplasmic Argonaute Protein Promotes the Inheritance of RNAi.

RNAi-elicited gene silencing is heritable and can persist for multiple generations after its initial induction in C. elegans. However, the mechanism by which parental-acquired trait-specific information from RNAi is inherited by the progenies is not fully understood. Here, we identified a cytoplasmic Argonaute protein, WAGO-4, necessary for the inheritance of RNAi. WAGO-4 exhibits asymmetrical translocation to the germline during early embryogenesis, accumulates at the perinuclear foci in the germline, and is required for the inheritance of exogenous RNAi targeting both germline- and soma-expressed genes. WAGO-4 binds to 22G-RNAs and their mRNA targets. Interestingly, WAGO-4-associated endogenous 22G-RNAs target the same cohort of germline genes as CSR-1 and contain untemplated addition of uracil at the 3' ends. The poly(U) polymerase CDE-1 is required for the untemplated uridylation of 22G-RNAs and inheritance of RNAi. Therefore, we conclude that, in addition to the nuclear RNAi pathway, the cytoplasmic RNAi machinery also promotes RNAi inheritance.

Association of decreased expression of the macrophage scavenger receptor MARCO with tumor progression and poor prognosis in human hepatocellular carcinoma.

BACKGROUND AND AIM: The macrophage receptor with collagenous structure (MARCO) belongs to the scavenger receptor family; however, few studies have assessed their potentials in modulating inflammatory signaling other than the typical function of pattern recognition and phagocytic clearance. Interestingly, RNA-Seq analyses of hepatocellular carcinoma (HCC) have identified MARCO as one of the top 30 differentially expressed genes between cancerous and adjacent noncancerous tissues. However, no research has been performed to study MARCO in liver cancer. METHODS: MARCO protein expression was evaluated by immunostaining liver tissue specimens collected from 88 HCC patients, 10 liver cirrhosis patients, 6 metastatic patients, and 5 healthy controls. All sections were reviewed by blinded observers followed by the interpretation of integral optical density per area as a measure of protein intensity. RESULTS: We observed significantly decreased expression of MARCO in intratumoral tissues of HCC compared with expression in peritumoral tissues. The expression of MARCO declined progressively as the disease condition was aggravated, with the highest expression found in healthy controls and the lowest found in patients with HCC metastasis. Furthermore, MARCO expression decreased along with tumor progression. MARCO+ cells co-localized with CD68+ cells, indicating predominant expression on macrophages. The overall survival rate was significantly increased in patients with high intratumoral MARCO expression compared with that of patients with low intratumoral MARCO expression. CONCLUSIONS: Our study is the first to demonstrate an association between MARCO expression and the progression and prognosis of HCC.

The Nrde Pathway Mediates Small-RNA-Directed Histone H3 Lysine 27 Trimethylation in Caenorhabditis elegans.

Small-RNA-mediated chromatin modifications have been widely studied in plants and S. pombe. However, direct evidence of small-RNA-guided sequence-specific chromatin alterations is scarce in animals. In C. elegans, the nuclear RNAi defective (Nrde) pathway functions to transport siRNA from the cytoplasm to the nucleus, modulate transcription elongation, induce histone H3 lysine 9 (H3K9) trimethylation, and mediate transgenerational inheritance of RNAi. Here, we show that both exogenous RNAi and NRDE-bound endogenous 22G RNAs can direct sequence-specific histone H3 lysine 27 (H3K27) trimethylation at targeted loci through the Nrde pathway. The resulting H3K27me3 status can be inherited by progeny for multiple generations. piRNAs and WAGO-1-associated siRNAs induce H3K27 methylation as well. Interestingly, CSR-1-associated endogenous siRNAs fail to trigger H3K27 methylation, whereas exogenous provision of dsRNAs can induce H3K27 methylation at the CSR-1-targeted loci via the Nrde pathway. We further observed distinct genetic requirements of H3K9 and H3K27 trimethylation. Whereas set-25 and met-2 are required for K9 methylation, mes-2 is required for K27 methylation. The depletion of mes-2 leads to a nuclear RNAi defective phenotype. These results indicate that dsRNA-triggered chromatin modification is a sequence-specific response that engages the Nrde pathway in C. elegans.

The predictive value of centre tumour CD8⁺ T cells in patients with hepatocellular carcinoma: comparison with Immunoscore.

The increasing evidences suggest that Immunoscore(IS), a combinatorial density analysis of CD8+ and CD3+ cells in the centre and invasive margin of tumour (CT and IM), has an advantage over the currently used tumour staging methods in a variety of tumours; however, IS in hepatocellular carcinoma remains unreported. In this study, IS was performed on serial sections from two HCC cohorts (total 449) and compared with current tumour staging systems. Kaplan-Meier curves illustrate a positive association between a higher IS (IS≥2) and longer survival of HCC patients. Although the IS was highly related to the outcome of patients, however, IS seems not to be the optimal prognostic factor when compared with the CD8CT. As noted, among CD8CT, CD8IM, CD3CT, CD3IM and IS, CD8CT, as an independent indicator, demonstrated the highest prognostic impact on both DFS and OS in our Cox multivariate regression analysis (P< 0.0001). In our study, the minimum cut-off value was 93 CD8CT cells per mm2, to be used to divide the patients into CD8CTHi group and CD8CTLo group in clinical settings. Our results suggest that CD8CT densities analysis notably improved the accuracy of survival prediction with convenience of clinical manipulation in HCC.