In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

[EX Q]: Paragraph: Identification of the full complement of genes and other functional elements in any virus is crucial to fully understand its molecular biology and guide the development of effective control strategies. RNA viruses have compact multifunctional genomes that frequently contain overlapping genes and non-coding functional elements embedded within protein-coding sequences. Overlapping features often escape detection because it can be difficult to disentangle the multiple roles of the constituent nucleotides via mutational analyses, while high-throughput experimental techniques are often unable to distinguish functional elements from incidental features. However, RNA viruses evolve very rapidly so that, even within a single species, substitutions rapidly accumulate at neutral or near-neutral sites providing great potential for comparative genomics to distinguish the signature of purifying selection. Computationally identified features can then be efficiently targeted for experimental analysis. Here we analyze alignments of protein-coding virus sequences to identify regions where there is a statistically significant reduction in the degree of variability at synonymous sites, a characteristic signature of overlapping functional elements. Having previously tested this technique by experimental verification of discoveries in selected viruses, we now analyze sequence alignments for 700 RNA virus species to identify hundreds of such regions, many of which have not been previously described.
Title: Mapping overlapping functional elements embedded within the protein-coding regions of RNA viruses
[EX A]: False

[EX Q]: Paragraph: Annotation The process of adding descriptive information to a data set and the individual data elements that comprise that data set. May include both computational analyses and manual curation. Curation The process of manually adding descriptive information or explanatory material to a data set usually based on a review of the existing literature. Database A collection of information, usually stored electronically on a computer. Database, hierarchical (XML) Extensible markup language. A formally defined hierarchical organization of data. A database software package designed to operate on a particular computer platform and operating system. Database schema A map of the database structure, including all of the fields, tables, and relationships that comprise the framework for storage of information within that database. Database, relational A database structure that provides the ability to define formal relationships between all data elements stored within the database. Ontology A controlled vocabulary used to formally describe (for our purposes) a biological process or entity. SQL Structured Query Language. A computer language used to query relational databases for information.
Title: Virus Databases
[EX A]: False

[EX Q]: Paragraph: Transforming growth factor (TGF-)/TGF- receptor signal is known to promote cell migration. Up-regulation of TGF- in serum/peritoneal fluid and increased levels of pluripotent transcription factor OCT4 in endometriotic tissues are frequently observed in patients with endometriosis. However, the mechanisms underlying how TGF-/TGF- receptor and OCT4 affect endometriotic cell migration still remain largely unknown. Therefore, endometriotic tissue with high cell migratory capacity were collected from patients with adenomyotic myometrium (n = 23) and chocolate cyst (n = 24); and endometrial tissue with low cell migratory capacity in normal endometrium or hyperplastic endometrium (n = 8) were collected as the controls. We found the mRNA levels of TGF- receptor I (TGF- RI) and OCT4 were significantly higher in the high-migratory ectopic endometriotic tissues than those of the lowmigratory normal or hyperplastic endometrium. Positive correlations between TGF- RI and OCT4, and either TGF- RI or OCT4 with migration-related genes (SNAIL, SLUG and TWIST) regarding the mRNA levels were observed in human endometriotic tissues. TGF-I dose-dependently increased the gene and protein levels of OCT4, SNAIL and N-Cadherin (N-CAD) and silencing of endogenous OCT4 significantly suppressed the TGF-I-induced expressions of N-CAD and SNAIL in primary human endometriotic stromal cells and human endometrial carcinoma cell lines RL95-2 and HEC1A. Furthermore, TGF-I significantly increased the migration ability of endometriotic cells and silencing of OCT4 dramatically suppressed the TGF-I-induced cell migration activity evidenced by wound-closure assay, transwell assay, and confocal image of F-actin cellular distribution. In conclusion, the present findings demonstrate that the niche TGF- plays a critical role in initiating expressions of PLOS ONE |
Title: TGF-I Regulates Cell Migration through Pluripotent Transcription Factor OCT4 in Endometriosis
[EX A]:
True