Related items
Showing items related by title, author, creator and subject.
-
What makes a book tweet popular? Analysis of the most retweeted content posted by Spanish and non-Spanish book publishersThe aim of this article is to identify content-related features of the most retweeted messages posted by Spanish and non-Spanish book publishers on Twitter. A content analysis has been conducted to identify the topic of the tweets and whether they include book title hashtags, images and hyperlinks, and if so, what the images are about and where the links point to. As a complement, a word association analysis has been carried out to determine which terms are associated with each of the different publishers. Overall, publishers tend to tweet about themselves and their books for marketing purposes. About half of the publishers have Twitter accounts. Spanish publishers’ tweets often contain literary quotes, while the top tweets by non-Spanish publishers are more likely to contain free prize draws. Publishers seeking to engage with potential readers on Twitter could consider quotes and giveaways to build their audience, in addition to tagging author @usernames in book related posts to help reach the author’s network.
-
Differential expression of PMCA2 mRNA isoforms in a cohort of Spanish patients with breast tumor types© Romero-Lorca et al. The present study examined the mRNA expression levels of different isoforms of the plasma membrane calcium ATPase 2 (PMCA2) gene generated by alternative splicing at the first intracellular loop (site A) and C-terminal region (site C) in 85 human breast cancer tumor and 69 adjacent non-tumor tissues. Associations were identified between the expression of PMCA2 splice isoforms and the following clinical variables: Estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) status, tumor size, staging and histological classification, and lymph node status. Transcripts including splice site A or splice site C were amplified by reverse transcription-quantitative polymerase chain reaction using PMCA2 isoform-specific primers. Tumor and adjacent tissues were determined to express the different PMCA2 splice isoforms 2w, 2x and 2z (site A), and 2b (site C). The mRNA levels for these variants indicated high biological variability, but increased expression was observed in breast tumor tissues, compared with in adjacent tissues. Significantly increased PMCA2x/b expression levels were detected in breast tumor tissues histologically classified as lobulillar, compared with in ductal-types breast tumor tissues (P<0.028). Furthermore, PMCA2z expression was significantly associated with PR status (P<0.024, compared with in PR-negative tumor tissues), and PMCA2w expression was significantly associated with ER status (P<0.048, increased in ER-positive tumor tissues, compared with ER-negative tumor tissues). Finally, PMCA2b was overexpressed in HER2-positive tumor tissues, compared with in HER2-negative tumor tissues (P<0.014). The data demonstrated the differential mRNA expression of a number of splice site A and C variants of PMCA2 in breast tumor and adjacent tissues, depending on tumor hormone receptor status and histological classification. In agreement with previous data, PMCA2b was overexpressed in HER2-positive tumor tissues, indicating that high mRNA levels of this variant could be a marker of poor prognosis.
-
Collocational constructions in translated Spanish: what corpora revealIn recent years, Construction Grammar has emerged as an enhanced theoretical framework for studies on phraseology in general, and particularly for collocational analysis. This paper aims at contributing to the study of collocational constructions in translated Spanish. To this end, the construction [V PP_ de miedo ] is analysed in detail. Our methodology is corpus-based and compares subtitled translations with general Spanish, American Spanish and Peninsular Spanish. The findings suggest that collocational constructions in translated Spanish have a clear preference for the Peninsular standard. They reflect features of translationese, as well as universal traits such as simplification, normalisation, and convergence. Another interesting finding refers to corpus selection, as giga-token corpora appear to provide more fine-grained analysis that conventional, balanced corpora.
