CELLO2GO (http://cello.life.nctu.edu.tw/cello2go/) is a publicly available, web-based system for screening various properties of a targeted protein and its subcellular localization. Herein, we describe how this platform is used to obtain a brief or detailed gene ontology (GO)-type categories, including subcellular localization(s), for the queried proteins by combining the CELLO localization-predicting and BLAST homology-searching approaches. Given a query protein sequence, CELLO2GO uses BLAST to search for homologous sequences that are GO annotated in an in-house database derived from the UniProt KnowledgeBase database. At the same time, CELLO attempts predict at least one subcellular localization on the basis of the species in which the protein is found. When homologs for the query sequence have been identified, the number of terms found for each of their GO categories, i.e., cellular compartment, molecular function, and biological process, are summed and presented as pie charts representing possible functional annotations for the queried protein. Although the experimental subcellular localization of a protein may not be known, and thus not annotated, CELLO can confidentially suggest a subcellular localization. CELLO2GO should be a useful tool for research involving complex subcellular systems because it combines CELLO and BLAST into one platform and its output is easily manipulated such that the user-specific questions may be readily addressed.
Bryophytes (liverworts, hornworts and mosses) comprise the three earliest diverging lineages of land plants (embryophytes). Marchantia polymorpha, a complex thalloid Marchantiopsida liverwort that has been developed into a model genetic system, occupies a key phylogenetic position. Therefore, M. polymorpha is useful in studies aiming to elucidate the evolution of gene regulation mechanisms in plants. In this study, we used computational, transcriptomic, small RNA and degradome analyses to characterize microRNA (miRNA)-mediated pathways of gene regulation in M. polymorpha. The data have been integrated into the open access ContigViews-miRNA platform for further reference. In addition to core components of the miRNA pathway, 129 unique miRNA sequences, 11 of which could be classified into seven miRNA families that are conserved in embryophytes (miR166a, miR390, miR529c, miR171-3p, miR408a, miR160 and miR319a), were identified. A combination of computational and degradome analyses allowed us to identify and experimentally validate 249 targets. In some cases, the target genes are orthologous to those of other embryophytes, but in other cases, the conserved miRNAs target either paralogs or members of different gene families. In addition, the newly discovered Mpo-miR11707.1 and Mpo-miR11707.2 are generated from a common precursor and target MpARGONAUTE1 (LW1759). Two other newly discovered miRNAs, Mpo-miR11687.1 and Mpo-miR11681.1, target the MADS-box transcription factors MpMADS1 and MpMADS2, respectively. Interestingly, one of the pentatricopeptide repeat (PPR) gene family members, MpPPR_66 (LW9825), the protein products of which are generally involved in various steps of RNA metabolism, has a long stem–loop transcript that can generate Mpo-miR11692.1 to autoregulate MpPPR_66 (LW9825) mRNA. This study provides a foundation for further investigations of the RNA-mediated silencing mechanism in M. polymorpha as well as of the evolution of this gene silencing pathway in embryophytes.
Sustained activation of nuclear factor-κB (NF-κB) in cancer cells has been shown to promote inflammation, expansion of cancer stem cell (CSC) population, and tumor development. In contrast, recent studies reveal that CSCs exhibit increased inflammation due to constitutive NF-κB activation; however, the underlying molecular mechanism remains unclear. In the present study, the analysis of microarray data revealed upregulation of NF-κB-regulated pro-inflammatory genes and downregulation of copper metabolism MURR1 domain-containing 1 (COMMD1) during the enrichment for stemness in SAS head and neck squamous-cell carcinoma (HNSCC) cells. The 3′-UTR of COMMD1 mRNA contains microRNA (miR)-205 target site. Parallel studies with HNSCC and NSCLC cells indicated that miR-205 is upregulated upon NF-κB activation and suppresses COMMD1 expression in stemness-enriched cancer cells. COMMD1 negatively regulates the inflammatory responses induced by TLR agonists, IL-1β, and TNF-α by targeting RelA for degradation. The shRNA-mediated downregulation of COMMD1 in cancer cells enhanced inflammatory response, generating favorable conditions for macrophage recruitment. In addition, genes associated with stemness were also upregulated in these cells, which exhibited increased potential for anchorage-independent growth. Furthermore, COMMD1 downregulation promoted in vivo tumorigenesis and tumor growth, and tumors derived from COMMD1-knockdown cells displayed elevated level of NF-κB activation, increased expression of inflammatory- and stemness-associated genes, and contain expanded population of tumor-associated leukocytes and stemness-enriched cancer cells. These results suggest that COMMD1 downregulation by miR-205 promotes tumor development by modulating a positive feedback loop that amplifies inflammatory- and stemness-associated properties of cancer cells.
Methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) plays an important role in one-carbon metabolism. The MTHFD2 gene is upregulated in various cancers but very low or undetectable in normal proliferating cells, and therefore a potential target for cancer treatment. In this study, we present the structure of MTHFD2 in complex with xanthine derivative 15 , which allosterically binds to MTHFD2 and coexists with the substrate analogue. A kinetic study demonstrated the uncompetitive inhibition of MTHFD2 by 15 . Allosteric inhibitors often provide good selectivity and, indeed, xanthine derivatives are highly selective for MTHFD2. Moreover, several conformational changes were observed upon the binding of 15 , which impeded the binding of the cofactor and phosphate to MTHFD2. To the best of our knowledge, this is the first study to identify allosteric inhibitors targeting the MTHFD family and our results would provide insights on the inhibition mechanism of MTHFD proteins and the development of novel inhibitors.
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