scholarly journals Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Chaitanya Erady ◽  
Adam Boxall ◽  
Shraddha Puntambekar ◽  
N. Suhas Jagannathan ◽  
Ruchi Chauhan ◽  
...  
Keyword(s):  
Transcript Level ◽  
Open Reading Frames ◽  
The Cancer Genome Atlas ◽  
Small Subset ◽  
Cancer Tissue ◽  
Post Translational Modifications ◽  
Cancer Genome Atlas ◽  
Systematic Identification ◽  
Reading Frames

AbstractUncharacterized and unannotated open-reading frames, which we refer to as novel open reading frames (nORFs), may sometimes encode peptides that remain unexplored for novel therapeutic opportunities. To our knowledge, no systematic identification and characterization of transcripts encoding nORFs or their translation products in cancer, or in any other physiological process has been performed. We use our curated nORFs database (nORFs.org), together with RNA-Seq data from The Cancer Genome Atlas (TCGA) and Genotype-Expression (GTEx) consortiums, to identify transcripts containing nORFs that are expressed frequently in cancer or matched normal tissue across 22 cancer types. We show nORFs are subject to extensive dysregulation at the transcript level in cancer tissue and that a small subset of nORFs are associated with overall patient survival, suggesting that nORFs may have prognostic value. We also show that nORF products can form protein-like structures with post-translational modifications. Finally, we perform in silico screening for inhibitors against nORF-encoded proteins that are disrupted in stomach and esophageal cancer, showing that they can potentially be targeted by inhibitors. We hope this work will guide and motivate future studies that perform in-depth characterization of nORF functions in cancer and other diseases.

scholarly journals Isolation and Characterization of Salmonella Jumbo-Phage pSal-SNUABM-04

Viruses ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Jun Kwon ◽  
Sang Guen Kim ◽  
Hyoun Joong Kim ◽  
Sib Sankar Giri ◽  
Sang Wha Kim ◽  
...  
Keyword(s):  
Morphological Traits ◽  
Open Reading Frames ◽  
Genome Comparison ◽  
The Novel ◽  
Promising Alternative ◽  
Isolation And Characterization ◽  
Global Issue ◽  
Reading Frames ◽  
Predicted Function

The increasing emergence of antimicrobial resistance has become a global issue. Therefore, many researchers have attempted to develop alternative antibiotics. One promising alternative is bacteriophage. In this study, we focused on a jumbo-phage infecting Salmonella isolated from exotic pet markets. Using a Salmonella strain isolated from reptiles as a host, we isolated and characterized the novel jumbo-bacteriophage pSal-SNUABM-04. This phage was investigated in terms of its morphology, host infectivity, growth and lysis kinetics, and genome. The phage was classified as Myoviridae based on its morphological traits and showed a comparatively wide host range. The lysis efficacy test showed that the phage can inhibit bacterial growth in the planktonic state. Genetic analysis revealed that the phage possesses a 239,626-base pair genome with 280 putative open reading frames, 76 of which have a predicted function and 195 of which have none. By genome comparison with other jumbo phages, the phage was designated as a novel member of Machinavirus composed of Erwnina phages.

scholarly journals Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3811
Author(s):  
Hyun-Jong Jang ◽  
In-Hye Song ◽  
Sung-Hak Lee
Keyword(s):  
Deep Learning ◽  
Relative Proportion ◽  
The Cancer Genome Atlas ◽  
Cancer Tissue ◽  
Mucinous Tumor ◽  
Receiver Operating Characteristic Curves ◽  
Tumor Tissues ◽  
Cancer Genome Atlas ◽  
Stomach Adenocarcinoma ◽  
Tumor Types

Histomorphologic types of gastric cancer (GC) have significant prognostic values that should be considered during treatment planning. Because the thorough quantitative review of a tissue slide is a laborious task for pathologists, deep learning (DL) can be a useful tool to support pathologic workflow. In the present study, a fully automated approach was applied to distinguish differentiated/undifferentiated and non-mucinous/mucinous tumor types in GC tissue whole-slide images from The Cancer Genome Atlas (TCGA) stomach adenocarcinoma dataset (TCGA-STAD). By classifying small patches of tissue images into differentiated/undifferentiated and non-mucinous/mucinous tumor tissues, the relative proportion of GC tissue subtypes can be easily quantified. Furthermore, the distribution of different tissue subtypes can be clearly visualized. The patch-level areas under the curves for the receiver operating characteristic curves for the differentiated/undifferentiated and non-mucinous/mucinous classifiers were 0.932 and 0.979, respectively. We also validated the classifiers on our own GC datasets and confirmed that the generalizability of the classifiers is excellent. The results indicate that the DL-based tissue classifier could be a useful tool for the quantitative analysis of cancer tissue slides. By combining DL-based classifiers for various molecular and morphologic variations in tissue slides, the heterogeneity of tumor tissues can be unveiled more efficiently.

scholarly journals Characterization of Chlamydia trachomatis Plasmid-Encoded Open Reading Frames

2013 ◽  
Vol 195 (17) ◽  
pp. 3819-3826 ◽  
Author(s):  
S. Gong ◽  
Z. Yang ◽  
L. Lei ◽  
L. Shen ◽  
G. Zhong
Keyword(s):  
Chlamydia Trachomatis ◽  
Open Reading Frames ◽  
Reading Frames

Molecular characterization of a novel mycovirus isolated from Rhizoctonia solani AG-1 IA 9-11

2021 ◽  
Author(s):  
Yang Sun ◽  
Yan qiong Li ◽  
Wen han Dong ◽  
Ai li Sun ◽  
Ning wei Chen ◽  
...  
Keyword(s):  
Rhizoctonia Solani ◽  
Rna Virus ◽  
Dsrna Virus ◽  
Open Reading Frames ◽  
The Family ◽  
Significant Amino Acid Sequence ◽  
Overlapping Open Reading Frames ◽  
Significant Amino Acid ◽  
Reading Frames

Abstract The complete genome of the dsRNA virus isolated from Rhizoctonia solani AG-1 IA 9–11 (designated as Rhizoctonia solani dsRNA virus 11, RsRV11 ) were determined. The RsRV11 genome was 9,555 bp in length, contained three conserved domains, SMC, PRK and RT-like super family, and encoded two non-overlapping open reading frames (ORFs). ORF1 potentially coded for a 204.12 kDa predicted protein, which shared low but significant amino acid sequence identities with the putative protein encoded by Rhizoctonia solani RNA virus HN008 (RsRV-HN008) ORF1. ORF2 potentially coded for a 132.41 kDa protein which contained the conserved motifs of the RNA-dependent RNA polymerase (RdRp). Phylogenetic analysis indicated that RsRV11 was clustered with RsRV-HN008 in a separate clade independent of other virus families. It implies that RsRV11, along with RsRV-HN008 possibly a new fungal virus taxa closed to the family Megabirnaviridae, and RsRV11 is a new member of mycoviruses.

scholarly journals Characterization of Two Virulent Phages of Lactobacillus plantarum

2012 ◽  
Vol 78 (24) ◽  
pp. 8719-8734 ◽  
Author(s):  
Mariángeles Briggiler Marcó ◽  
Josiane E. Garneau ◽  
Denise Tremblay ◽  
Andrea Quiberoni ◽  
Sylvain Moineau
Keyword(s):  
Lactobacillus Plantarum ◽  
Corn Silage ◽  
Open Reading Frames ◽  
High Identity ◽  
Content Type ◽  
Defense Systems ◽  
Double Stranded Dna ◽  
Type Phage ◽  
Reading Frames

ABSTRACTWe characterized twoLactobacillus plantarumvirulent siphophages, ATCC 8014-B1 (B1) and ATCC 8014-B2 (B2), previously isolated from corn silage and anaerobic sewage sludge, respectively. Phage B2 infected two of the eightL. plantarumstrains tested, while phage B1 infected three. Phage adsorption was highly variable depending on the strain used. Phage defense systems were found in at least twoL. plantarumstrains, LMG9211 and WCSF1. The linear double-stranded DNA genome of thepac-type phage B1 had 38,002 bp, a G+C content of 47.6%, and 60 open reading frames (ORFs). Surprisingly, the phage B1 genome has 97% identity with that ofPediococcus damnosusphage clP1 and 77% identity with that ofL. plantarumphage JL-1; these phages were isolated from sewage and cucumber fermentation, respectively. The double-stranded DNA (dsDNA) genome of thecos-type phage B2 had 80,618 bp, a G+C content of 36.9%, and 127 ORFs with similarities to those ofBacillusandLactobacillusstrains as well as phages. Some phage B2 genes were similar to ORFs fromL. plantarumphage LP65 of theMyoviridaefamily. Additionally, 6 tRNAs were found in the phage B2 genome. Protein analysis revealed 13 (phage B1) and 9 (phage B2) structural proteins. To our knowledge, this is the first report describing such high identity between phage genomes infecting different genera of lactic acid bacteria.

scholarly journals DNA Microarray Analysis of Central Carbohydrate Metabolism: Glycolytic/Gluconeogenic Carbon Switch in the Hyperthermophilic Crenarchaeum Thermoproteus tenax

2008 ◽  
Vol 190 (6) ◽  
pp. 2231-2238 ◽  
Author(s):  
Melanie Zaparty ◽  
Alexander Zaigler ◽  
Claudia Stamme ◽  
Jörg Soppa ◽  
Reinhard Hensel ◽  
...  
Keyword(s):  
Carbohydrate Metabolism ◽  
Dna Microarray ◽  
Transcript Level ◽  
Open Reading Frames ◽  
Transcriptional Analysis ◽  
Heterotrophic Growth ◽  
Thermoproteus Tenax ◽  
Central Carbohydrate Metabolism ◽  
Reading Frames

ABSTRACT In order to unravel the role of regulation on transcript level in central carbohydrate metabolism (CCM) of Thermoproteus tenax, a focused DNA microarray was constructed by using 85 open reading frames involved in CCM. A transcriptional analysis comparing heterotrophic growth on glucose versus autotrophic growth on CO2-H2 was performed.

scholarly journals Opposite Roles of BAP1 in Overall Survival of Uveal Melanoma and Cutaneous Melanoma

2020 ◽  
Vol 9 (2) ◽  
pp. 411 ◽  
Author(s):  
Feng Liu-Smith ◽  
Yunxia Lu
Keyword(s):  
Overall Survival ◽  
Uveal Melanoma ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Copy Number Variations ◽  
The Cancer Genome Atlas ◽  
Small Subset ◽  
Mrna Levels ◽  
Cancer Genome Atlas

Background: BRCA1-Associated Protein 1 (BAP1) germline mutations predispose individuals to cancers, including uveal melanoma (UM) and cutaneous melanoma (CM). BAP1 loss is common in UM and is associated with a worse prognosis. BAP1 loss is rare in CM and the outcome is unclear. Methods: UM and CM data was retrieved from The Cancer Genome Atlas (TCGA) database. Cox regression model was performed to examine whether BAP1 mRNA levels or copy number variations were associated with overall survival (OS). Results: BAP1-low mRNA predicted a poor OS in UM (HR = 9.57, 95% CI: 2.82, 32.5) but a contrasting better OS in CM (HR = 0.73, 95% CI: 0.56, 0.95). These results remained unchanged after adjusting for sex, age, and stage in UM and CM, or after adjusting for ulceration or Breslow depth in CM. Additionally, low BAP1 mRNA predicted a better OS in CM patients older than 50 years but not in younger patients. Co-expression and enrichment analysis revealed differential genes and mutations that were correlated with BAP1 expression levels in UM and CM tumors. Conclusions: Low BAP1 mRNA was significantly associated with a better OS in CM patients, in sharp contrast to UM. High BAP1 expression in CM was significantly associated with over-expressed CDK1, BCL2, and KIT at the protein level which may explain the poor OS in this sub-group of patients. Function of BAP1 was largely different in CM and UM despite of a small subset of shared co-expressed genes.

scholarly journals Functional-Genomics-Based Identification and Characterization of Open Reading Frames Encoding α-Glucoside-Processing Enzymes in the Hyperthermophilic Archaeon Pyrococcus furiosus

2007 ◽  
Vol 74 (4) ◽  
pp. 1281-1283 ◽  
Author(s):  
Donald A. Comfort ◽  
Chung-Jung Chou ◽  
Shannon B. Conners ◽  
Amy L. VanFossen ◽  
Robert M. Kelly
Keyword(s):  
Glycoside Hydrolase ◽  
Bioinformatics Analysis ◽  
Pyrococcus Furiosus ◽  
Transcriptional Response ◽  
Open Reading Frames ◽  
Processing Enzymes ◽  
Response Information ◽  
Identification And Characterization ◽  
Reading Frames

ABSTRACT Bioinformatics analysis and transcriptional response information for Pyrococcus furiosus grown on α-glucans led to the identification of a novel isomaltase (PF0132) representing a new glycoside hydrolase (GH) family, a novel GH57 β-amylase (PF0870), and an extracellular starch-binding protein (1,141 amino acids; PF1109-PF1110), in addition to several other putative α-glucan-processing enzymes.

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