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The tracheae defective gene encodes a bZIP protein that controls tracheal cell movement during Drosophila embryogenesis.

The tracheae defective (tdf) gene is required for the formation of the tracheal system during Drosophila embryogenesis. It encodes a putative bZIP transcription factor (TDF). Antibodies directed against TDF detect a nuclear protein in all tracheal cells before invagination and throughout tracheal system morphogenesis. Examination of tdf mutants revealed that tdf activity is not necessary for determining tracheal cell identity but for subsequent morphogenetic cell movements. tdf activity is under the control of trachealess, the key regulator gene for tracheal development. In contrast, tdf activity is not dependent on and does not interfere with the fibroblast growth factor- (FGF) and Decapentaplegic- (DPP) mediated signalling that direct guided tracheal cell migration. Our results suggest that lack of tdf activity affects tracheal cell migration in general rather than specific aspects of cell migration. tdf activity involves a maternal and zygotic component and its requirement is not limited to tracheal system formation. The complex spatiotemporal patterns of TDF expression in the embryo correspond to defects, suggesting that cell migration is impaired. We propose that the bZIP protein TDF functions as a co-regulator of target genes that provide cells with the ability to migrate.

Amino Acid Sequence↗

snoSeeker: an advanced computational package for screening of guide and orphan snoRNA genes in the human genome.

Small nucleolar RNAs (snoRNAs) represent an abundant group of non-coding RNAs in eukaryotes. They can be divided into guide and orphan snoRNAs according to the presence or absence of antisense sequence to rRNAs or snRNAs. Current snoRNA-searching programs, which are essentially based on sequence complementarity to rRNAs or snRNAs, exist only for the screening of guide snoRNAs. In this study, we have developed an advanced computational package, snoSeeker, which includes CDseeker and ACAseeker programs, for the highly efficient and specific screening of both guide and orphan snoRNA genes in mammalian genomes. By using these programs, we have systematically scanned four human-mammal whole-genome alignment (WGA) sequences and identified 54 novel candidates including 26 orphan candidates as well as 266 known snoRNA genes. Eighteen novel snoRNAs were further experimentally confirmed with four snoRNAs exhibiting a tissue-specific or restricted expression pattern. The results of this study provide the most comprehensive listing of two families of snoRNA genes in the human genome till date.

Algorithms↗

Rapid identification of medically important Candida to species level by polymerase chain reaction and single-strand conformational polymorphism.

Invasive fungal disease has taken a great toll on immunocompromised patients. With the emergence of fluconazole and amphotericin B resistance, the rapid identification of fungi to species level is of clinical relevance in guiding appropriate antifungal therapy. Among these opportunistic fungi, Candida species are the most commonly encountered. We had developed a molecular method utilizing single-strand conformational polymorphism (SSCP) to delineate different patterns on a 260-bp amplicon from the 28S rRNA gene from six medically important Candida species. The SSCP banding patterns obtained from a total of 52 isolates were sufficiently unique to allow distinction between the species, thus indicated a high level of specificity. This method of PCR-SSCP can provide a simple and specific method for the rapid identification of medically important Candida to species level.

Candida↗

The upstream regulatory region of the gene for the human homologue of the adhesion molecule TAG-1 contains elements driving neural specific expression in vivo.

Cell adhesion molecules (CAMs) of the immunoglobulin superfamily (IgSF) exhibit restricted spatial and temporal expression profiles requiring a tight regulatory program during development. The rodent glycoprotein TAG-1 and its orthologs TAX-1 in the human and axonin-1 in chick are cell adhesion molecules belonging to the contactin/F3 subgroup of the IgSF. TAG-1 is expressed in restricted subsets of central and peripheral neurons, not only during development but also in adulthood, and is implicated in neurite outgrowth, axon guidance and fasciculation, as well as neuronal migration. In an attempt to identify the regulatory elements that guide the neuronal expression of TAG-1, we have isolated genomic clones containing 4 kb of the TAX-1 upstream sequence and used them to drive the expression of the LacZ reporter gene in transgenic mice. We demonstrate that this sequence includes elements not only sufficient to restrict expression to the nervous system, but also to recapitulate to a great extent the endogenous pattern of the TAG-1 expression in the developing CNS.

Aging↗

p78/MCRS1 forms a complex with centrosomal protein Nde1 and is essential for cell viability.

The centrosome, an organelle that functions as the major microtubule-organizing center, plays an essential role in the formation of the mitotic spindle and guiding accurate chromosome segregation. Centrosome aberrations are frequently associated with various forms of human cancers and it is thought that defects in this organelle contribute to genomic instability and malignant transformation. We recently identified and characterized a centrosome-localized protein complex that is comprised of Su48 and Nde1. Disruption of the normal function of these proteins leads to abnormal cell division. To extend our understanding of how this protein complex operates, we sought to identify Nde1-interacting molecules by the yeast two-hybrid screening method. Here, we demonstrate that both Nde1 and Su48 can associate with p78/MCRS1, a protein implicated in cancer development. We found that, whereas the majority of p78 localizes to the nucleus as reported in earlier studies, a fraction of the p78 protein can be detected in the centrosome. Moreover, we determined that a region containing the forkhead-associated domain of p78 is involved in association with Nde1 and Su48, as well as in centrosomal localization. We also provide evidence that the association between p78 and Nde1 is regulated by phosphorylation on Nde1. Furthermore, abrogation of the endogenous p78 function by small interfering RNA knockdown causes cell death and a modest delay in mitosis. These results indicate that a subset of the p78 proteins comprises a component of the centrosome and that p78 is essential for cell viability.

Carrier Proteins↗

Guide RNAs in kinetoplastid mitochondria have a nonencoded 3' oligo(U) tail involved in recognition of the preedited region.

Maxicircle-encoded guide RNAs (gRNAs) for cytochrome b and maxicircle unidentified reading frames 2 and 3 (MURF2 and MURF3) were isolated by hybrid selection and sequenced. All three gRNAs contained nonencoded 3' oligo(U) tails 5-24 nucleotides in length, with a mean length of approximately 15 nucleotides. Secondary structure calculations indicate a functional role of the 3' oligo(U) tail in stabilizing the initial hybrid formed between the gRNA and the preedited mRNA, and allowed the identification of potential mRNA recognition sites for an editing complex. In addition, isolated MURF2 gRNA-II could be 5' capped with [alpha-32P]-GTP and guanylyltransferase, suggesting that at least some gRNAs represent primary transcripts.

Animals↗

Active site in RrmJ, a heat shock-induced methyltransferase.

The heat shock protein RrmJ (FtsJ), highly conserved from eubacteria to eukarya, is responsible for the 2'-O-ribose methylation of the universally conserved base U2552 in the A-loop of the 23 S rRNA. Absence of this methylation, which occurs late in the maturation process of the ribosome, appears to cause the destabilization and premature dissociation of the 50 S ribosomal subunit. To understand the mechanism of 2'-O-ribose methyltransfer reactions, we characterized the enzymatic parameters of RrmJ and conducted site-specific mutagenesis of RrmJ. A structure based sequence alignment with VP39, a structurally related 2'-O-methyltransferase from vaccinia virus, guided our mutagenesis studies. We analyzed the function of our RrmJ mutants in vivo and characterized the methyltransfer reaction of the purified proteins in vitro. The active site of RrmJ appears to be formed by a catalytic triad consisting of two lysine residues, Lys-38 and Lys-164, and the negatively charged residue Asp-124. Another highly conserved residue, Glu-199, that is present in the active site of RrmJ and VP39 appears to play only a minor role in the methyltransfer reaction in vivo. Based on these results, a reaction mechanism for the methyltransfer activity of RrmJ is proposed.

Adenosine↗

Genome-wide analysis of C/D and H/ACA-like small nucleolar RNAs in Leishmania major indicates conservation among trypanosomatids in the repertoire and in their rRNA targets.

Small nucleolar RNAs (snoRNAs) are a large group of noncoding RNAs that exist in eukaryotes and archaea and guide modifications such as 2'-O-ribose methylations and pseudouridylation on rRNAs and snRNAs. Recently, we described a genome-wide screening approach with Trypanosoma brucei that revealed over 90 guide RNAs. In this study, we extended this approach to analyze the repertoire of the closely related human pathogen Leishmania major. We describe 23 clusters that encode 62 C/Ds that can potentially guide 79 methylations and 37 H/ACA-like RNAs that can potentially guide 30 pseudouridylation reactions. Like T. brucei, Leishmania also contains many modifications and guide RNAs relative to its genome size. This study describes 10 H/ACAs and 14 C/Ds that were not found in T. brucei. Mapping of 2'-O-methylations in rRNA regions rich in modifications suggests the existence of trypanosomatid-specific modifications conserved in T. brucei and Leishmania. Structural features of C/D snoRNAs, such as copy number, conservation of boxes, K turns, and intragenic and extragenic base pairing, were examined to elucidate the great variation in snoRNA abundance. This study highlights the power of comparative genomics for determining conserved features of noncoding RNAs.

Animals↗

Role of transposable elements in heterochromatin and epigenetic control.

Heterochromatin has been defined as deeply staining chromosomal material that remains condensed in interphase, whereas euchromatin undergoes de-condensation. Heterochromatin is found near centromeres and telomeres, but interstitial sites of heterochromatin (knobs) are common in plant genomes and were first described in maize. These regions are repetitive and late-replicating. In Drosophila, heterochromatin influences gene expression, a heterochromatin phenomenon called position effect variegation. Similarities between position effect variegation in Drosophila and gene silencing in maize mediated by "controlling elements" (that is, transposable elements) led in part to the proposal that heterochromatin is composed of transposable elements, and that such elements scattered throughout the genome might regulate development. Using microarray analysis, we show that heterochromatin in Arabidopsis is determined by transposable elements and related tandem repeats, under the control of the chromatin remodelling ATPase DDM1 (Decrease in DNA Methylation 1). Small interfering RNAs (siRNAs) correspond to these sequences, suggesting a role in guiding DDM1. We also show that transposable elements can regulate genes epigenetically, but only when inserted within or very close to them. This probably accounts for the regulation by DDM1 and the DNA methyltransferase MET1 of the euchromatic, imprinted gene FWA, as its promoter is provided by transposable-element-derived tandem repeats that are associated with siRNAs.

Arabidopsis↗

New primers for the class Actinobacteria: application to marine and terrestrial environments.

In this study, we redesigned and evaluated primers for the class Actinobacteria. In silico testing showed that the primers had a perfect match with 82% of genera in the class Actinobacteria, representing a 26-213% improvement over previously reported primers. Only 4% of genera that displayed mismatches did so in the terminal three bases of the 3' end, which is most critical for polymerase chain reaction success. The primers, designated S-C-Act-0235-a-S-20 and S-C-Act-0878-a-A-19, amplified an approximately 640 bp stretch of the 16S rRNA gene from all actinobacteria tested (except Rubrobacter radiotolerans) up to an annealing temperature of 72 degrees C. An Actinobacteria Amplification Resource (http://microbe2.ncl.ac.uk/MMB/AAR.htm) was generated to provide a visual guide to aid the amplification of actinobacterial 16S rDNA. Application of the primers to DNA extracted from marine and terrestrial samples revealed the presence of actinobacteria that have not been described previously. The use of 16S rDNA similarity and DNA-DNA pairing correlations showed that almost every actinomycete clone represented either a new species or a novel genus. The results of this study reinforce the proposition that current culture-based techniques drastically underestimate the diversity of Actinobacteria in the environment and highlight the need to evaluate taxon-specific primers regularly in line with improvements in databases holding 16S rDNA sequences.

Actinobacteria↗

CCNA2 orchestrates the PI3K/AKT signaling axis to propel prostate cancer metastasis.

BACKGROUND: Prostate cancer (PCa) remains one of the most common malignancies in men, posing a persistent global burden in terms of both public health and socioeconomic costs. Although early detection is essential for improving patient outcomes, existing clinical tools, including prostate-specific antigen (PSA) screening, digital rectal examination, and transrectal ultrasound-guided biopsy, are hampered by suboptimal specificity and positive predictive value, resulting in frequent overdiagnosis and overtreatment of indolent lesions while missing a subset of aggressive tumors at an early stage. In this context, the rapid advancement of high-throughput omics technologies, coupled with sophisticated machine learning (ML) algorithms, provides a powerful computational framework to dissect high-dimensional genomic data, uncover latent gene expression signatures, and identify candidate biomarkers with superior discriminative performance over conventional clinicopathological parameters. Therefore, in this study, we sought to screen for crucial ML-based biomarkers associated with PCa, with a particular focus on systematically assessing the diagnostic and prognostic value of CCNA2. Leveraging large-scale transcriptomic cohorts from public repositories, we employed an ensemble of ML approaches to prioritize candidate genes and subsequently evaluated the diagnostic performance of CCNA2 through receiver operating characteristic curve analysis, as well as its prognostic utility via Kaplan-Meier survival estimation and multivariate Cox proportional hazards modeling. Our findings are anticipated to elucidate the molecular landscape of PCa and offer a promising biomarker candidate for early detection and risk stratification. METHODS: This study integrated single-cell RNA sequencing, bulk transcriptomic data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories, immunofluorescence, and multiple ML algorithms with in vitro functional assays to evaluate CCNA2 expression, clinical relevance, and biological behavior in PCa. RESULTS: CCNA2 was linked to metastasis and poor prognosis. High CCNA2 expression significantly correlated with adverse survival outcomes, and knockdown of CCNA2 suppressed proliferation, migration, and invasion in PCa cell lines. Mechanistically, CCNA2 modulated the PI3K/AKT signaling pathway. An ML-based diagnostic model incorporating CCNA2 demonstrated high predictive accuracy across multiple validation cohorts. CONCLUSIONS: CCNA2 serves as a promising prognostic biomarker and therapeutic target in prostate adenocarcinoma, driving tumor progression potentially via the PI3K/AKT axis.

CCNA2↗

A small nucleolar RNP protein is required for pseudouridylation of eukaryotic ribosomal RNAs.

Eukaryotic rRNAs possess numerous post-transcriptionally modified nucleotides. The most abundant modifications, 2'-O-ribose methylation and pseudouridylation, occur in the nucleolus during rRNA processing. The nucleolus contains a large number of small nucleolar RNAs (snoRNAs) most of which can be classified into two distinct families defined by conserved sequence boxes and common associated proteins. The C and D box-containing snoRNAs are associated with fibrillarin, and most of them function as guide RNAs in site-specific ribose methylation of rRNAs. The nucleolar function of the other class of snoRNAs, which share box H and ACA elements and are associated with a glycine- and arginine-rich nucleolar protein, Gar1p, remains elusive. Here we demonstrate that the yeast Saccharomyces cerevisiae Gar1 snoRNP protein plays an essential and specific role in the overall pseudouridylation of yeast rRNAs. These results establish a novel function for Gar1 protein and indicate that the box H/ACA snoRNAs, or at least a subset of these snoRNAs, function in the site-specific pseudouridylation of rRNAs.

Alleles↗

CD40-activated B cells express full lymph node homing triad and induce T-cell chemotaxis: potential as cellular adjuvants.

CD40-activated B cells (CD40-B cells) have previously been introduced as an alternative source of antigen-presenting cells for immunotherapy. CD40-B cells can prime naive and expand memory T cells, and they can be generated in large numbers from very small amounts of peripheral blood derived from healthy individuals or cancer patients alike. Administration of CD40-B cells as a cellular adjuvant would require these cells to migrate toward secondary lymphoid organs and attract T cells in situ, processes guided by specific chemokines and chemokine receptors. Here, we demonstrate that primary, human CD40-B cells express a pattern of adhesion molecules and chemokine receptors necessary for homing to secondary lymphoid organs and have the capacity to migrate to cognate ligands. Furthermore, we show that CD40-B cells express important T-cell attractants and induce strong T-cell chemotaxis. These findings further support the use of CD40-B cells as cellular adjuvant for cancer immunotherapy.

Adjuvants, Immunologic↗

Exclusive interaction of the 15.5 kD protein with the terminal box C/D motif of a methylation guide snoRNP.

Box C/D small nucleolar RNAs (snoRNAs) direct site-specific methylation of ribose 2'-hydroxyls in ribosomal and spliceosomal RNAs. To identify snoRNA functional groups contributing to assembly of an active box C/D snoRNP in Xenopus oocytes, we developed an in vivo nucleotide analog interference mapping procedure. Deleterious substitutions consistent with requirements for binding the 15.5 kD protein clustered within the terminal box C/D motif only. In vitro analyses confirmed a single interaction site for recombinant 15.5 kD protein and identified the exocyclic amine of A89 in box D as essential for binding. Our results argue that the 15.5 kD protein interacts asymmetrically with the two sets of conserved box C/D elements and that its binding is primarily responsible for the stability of box C/D snoRNAs in vivo.

Adenosine↗

Guiding revision of regulatory models with expression data.

BioLingua is a computational system designed to support biologists' efforts to construct models, make predictions, and interpret data. In this paper, we focus on the specific task of revising an initial model of gene regulation based on expression levels from gene microarrays. We describe BioLingua's formalism for representing process models, its method for predicting qualitative correlations from such models, and its use of data to constrain search through the space of revised models. We also report experimental results on revising a model of photosynthetic regulation in Cyanobacteria to better fit expression data for both wild and mutant strains, along with model mutilation studies designed to test our method's robustness. In closing, we discuss related work on representing, discovering, and revising biological models, after which we propose some directions for future research.

Computational Biology↗

The hepatitis C virus NS3 proteinase: structure and function of a zinc-containing serine proteinase.

The hepatitis C virus (HCV) NS3 protein contains a serine proteinase domain implicated in the maturation of the viral polyprotein. NS3 forms a stable heterodimer with NS4A, a viral membrane protein that acts as an activator of the NS3 proteinase. The three-dimensional structure of the NS3 proteinase complexed with an NS4A-derived peptide has been determined. The NS3 proteinase adopts a chymotrypsin-like fold. A beta-strand contributed by NS4A is clamped between two beta-strands within the N terminus of NS3. Consistent with the requirement for extraordinarily long peptide substrates (P6-P4'), the structure of the NS3 proteinase reveals a very long, solvent-exposed substrate-binding site. The primary specificity pocket of the enzyme is shallow and closed at its bottom by Phe-154, explaining the preference of the NS3 proteinase for cysteine residues in the substrate P1 position. Another important feature of the NS3 proteinase is the presence of a tetrahedral zinc-binding site formed by residues Cys-97, Cys-99, Cys-145 and His-149. The zinc-binding site has a role in maintaining the structural stability and guiding the folding of the NS3 serine proteinase domain. Inhibition of the NS3 proteinase activity is regarded as a promising strategy to control the disease caused by HCV. Remarkably, the NS3 proteinase is susceptible to inhibition by the N-terminal cleavage products of substrate peptides corresponding to the NS4A/NS4B, NS4B/NS5A and NS5A/NS5B cleavage sites. The Ki values of the inhibitory products are lower than the K(m) values of the respective substrates and follow the order NS4A < NS5A < NS4B. Starting from the observation that the NS3 proteinase undergoes product inhibition, very potent, active site-directed inhibitors have been generated using a combinatorial peptide chemistry approach.

Amino Acid Sequence↗

Temporal and spatial patterns of osteoblast activation following implantation of beta-TCP particles into bone.

Temporal and spatial patterns of osteoblast activation around beta-TCP particles implanted into bone were analyzed by in situ hybridization with digoxygenin-labeled procollagen alpha 1(I) RNA probes. beta-TCP particles (150-300 microns in diameter) were implanted into rat tibiae, and specimens were collected 3, 5, 7, 14, and 28 days after operation. Activated osteoblasts displayed intense procollagen alpha 1(I) RNA specific labeling. At day 3, osteoblasts lining pre-existing trabeculae in places showed a specific signal. Additionally, scattered activated cells compatible with preosteoblasts also were observed in the vicinity of the trabeculae among red blood cells that filled the space between beta-TCP particles. Osteoblast activation on the surface of beta-TCP rarely was observed. At days 5 and 7, osteoblast activation and bone formation advanced centripetally. At the forefront of bone formation positive cells were scattered in the blood cell clots, and some of the positive cells colonized forming new bone matrix. Formation of new bone did not always begin at the surface of beta-TCP. At day 14, most of the beta-TCP particles were tightly associated with newly formed bone, and the number of positive osteoblasts was reduced. At day 28, absorption of the newly formed bone and the beta-TCP by multinuclear cells was sporadically demonstrated. Such cells often were accompanied by active osteoblasts, suggesting early bone remodeling. In conclusion, in situ hybridization with procollagen alpha 1(I) was employed to demonstrate precisely the mode of recruitment of bone cell precursors. beta-TCP does not positively guide collagen I expressing bone cells along its surface. It has no apparent effects on bone regeneration.

Animals↗

Identification and external validation of a prognostic signature based on myeloid-derived suppressor cells-related LncRNAs to evaluate survival prognosis and treatment efficacy in invasive breast carcinoma.

BACKGROUND: Originating in the hematopoietic tissue, myeloid-derived suppressor cells (MDSCs) significantly contribute to tumor-related immunological processes. However, their relationship with long noncoding RNAs (lncRNAs) and breast cancer remains incompletely understood. In this study, we introduced MDSCs-associated lncRNAs as novel prognostic biomarkers to assess outcomes in patients with invasive breast carcinoma (BRCA). METHODS: Information regarding BRCA cases, including clinical and genomic details, was obtained from the TCGA repository. Predictive indicators were discovered, and their reliability underwent thorough verification. A clinically useful nomogram was developed following application-based validation. Additional investigations encompassed functional analysis, TMB assessment, TME profiling, immunotherapy efficacy forecasting, and drug sensitivity testing along with target identification. Long non-coding RNA expression was measured using reverse transcription quantitative PCR. RESULTS: A risk stratification model incorporating eight MDSCs-related lncRNAs effectively predicted patient outcomes. Kaplan-Meier (K-M) survival analysis clearly indicated a much worse prognosis among patients classified as high-risk (p&#xa0;<&#xa0;0.001). The nomogram accurately forecasted overall survival (OS). Analysis of functional enrichment revealed that pathways associated with epithelial cells showed activity among patients at higher risk. Characterization of the tumor microenvironment showed increased immune cell presence in those classified as low-risk. Conversely, individuals with greater risk displayed higher tumor mutational burden. TIDE and IPS analyses indicated superior immunotherapy responsiveness in the low-risk BRCA subgroup. Among 47 drugs with notable IC50 variations, Ribociclib, PD173074, KU-55933, NU7441, and nutlin-3a exhibited lower IC50 values within the low-risk group, whereas Lapatinib demonstrated greater efficacy among the high-risk group. Moreover, 10 potential therapeutic agents and their targets were predicted for high-risk patients. RT-qPCR validation confirmed the robustness of the model. CONCLUSIONS: We successfully verified a new model of molecular markers of MDSCs-related lncRNAs, offering critical insights for predicting outcomes and guiding therapeutic decisions in BRCA cases.

Bioinformatics↗