In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Ex Input:
We evaluated the acceptability of an additional ad hoc influenza vaccination among the health care professionals following seasons with significant antigenic drift. Self-administered, anonymous surveys were performed by hard copy questionnaires in public hospitals, and by an on-line platform available to all healthcare professionals, from April 1st to May 31st, 2015. A total of 1290 healthcare professionals completed the questionnaires, including doctors, nurses, and allied health professionals working in both the public and private systems. Only 31.8% of participating respondents expressed an intention to receive the additional vaccine, despite that the majority of them agreed or strongly agreed that it would bring benefit to the community (88.9%), save lives (86.7%), reduce medical expenses (76.3%), satisfy public expectation (82.8%), and increase awareness of vaccination (86.1%). However, a significant proportion expressed concern that the vaccine could disturb the normal immunization schedule (45.5%); felt uncertain what to do in the next vaccination round (66.0%); perceived that the summer peak might not occur (48.2%); and believed that the summer peak might not be of the same virus (83.5%). Furthermore, 27.8% of all respondents expected that the additional vaccination could weaken the efficacy of previous vaccinations; 51.3% was concerned about side effects; and 61.3% estimated that there would be a low uptake rate. If the supply of vaccine was limited, higher priority groups were considered to include the elderly aged !65 years with chronic medical conditions (89.2%), the elderly living in residential care homes (87.4%), and longstay residents of institutions for the disabled (80.7%). The strongest factors associated with accepting the additional vaccine included immunization with influenza vaccines in the past 3 years, higher perceived risk of contracting influenza, and higher perceived severity of the disease impact. The acceptability to an additional ad hoc influenza vaccination was low among healthcare professionals. This could have a negative impact on such additional vaccination campaigns since healthcare professionals are a key driver for vaccine acceptance. The discordance in perceived risk and acceptance of vaccination regarding self versus public deserves further evaluation. Abbreviations: AOR = adjusted odds ratios, WHO = world health organization. Editor: Barry Margulies. Ã x 2 test or Fisher exact tests for variables with any cell <5. Values are numbers (percentages) of respondents unless stated otherwise. The values in bold represented those with P < 0.10, which were selected as variables in the multivariate regression analysis.

Ex Output:
Ad Hoc Influenza Vaccination During Years of Significant Antigenic Drift in a Tropical City With 2 Seasonal Peaks A Cross-Sectional Survey Among Health Care Practitioners


Ex Input:
Bio-fluids contain various circulating cell-free RNA transcripts (ccfRNAs). The composition of 20 these ccfRNAs varies between bio-fluids and constitute tantalizing biomarker candidates for 21 several pathologies. ccfRNAs have also been demonstrated as mediators of cellular 22 communication, yet little is known about their function in physiological and developmental 23 settings and most works are limited to in-vitro studies. Here, we have developed iTAG-RNA, a 24 novel method for the unbiased tagging of RNA transcripts in mice in-vivo. We used this method 25 to isolate hepatocytes and kidney proximal epithelial cells-specific transcriptional response to a 26 dietary challenge without interfering with the tissue architecture, and to identify multiple 27 hepatocyte-secreted ccfRNAs in plasma. We also identified transfer of these hepatic derived 28 ccfRNAs to adipose tissue, where they likely serve as a buffering mechanism to maintain 29 cholesterol and lipid homeostasis. Our findings directly demonstrate in-vivo transfer of RNAs 30 between tissues and highlight its implications for endocrine signaling and homeostasis. Little is known about the biological function of circulating cell-free RNAs (ccfRNA). Found to be 34 associated with exosomes, lipoproteins, ribonucleoproteins and more, these transcripts can be 35 isolated and sequenced from multiple bio-fluids such as plasma, lymph, cerebral fluids, breast milk 36 and more [1, 2]. ccfRNAs are directly implicated in the development of several pathologies 37 including cancer and obesity [3][4][5] and are intensively studied as disease biomarkers [6, 7]. Despite 38 this, the role they play in physiological and developmental settings and in mediating cell-to-cell 39 communication remains largely unknown. In-vitro, a growing number of works demonstrate the 40 relevance of RNA based cellular communication [8][9][10][11], however in-vivo evidence is still limited. This discrepancy is partly due to the difficulties posed to tracking ccfRNAs from transcriptional 42 source to potential sites of action in-vivo. Indeed the tools available to study ccfRNAs in 43 physiological settings are limited and very few studies attempt to tackle this problem directly. One work found evidence to suggest that the majority of circulating miRNAs originate in adipose 45 tissue and that some of the adipose derived miRNAs may play a role in the regulation of liver 46 Fgf21 levels [12]. However, this work focuses on miRNA and does not directly demonstrate 47 transfer of RNAs between tissues nor directly identify adipose secreted RNAs. Transfer of miRNAs was also demonstrated between epithelial cells of the caput epididymis to 49 maturing spermatozoa, leading to a shift in sperm RNA content during its maturation [13]. This 50 study made use of 4-thiouracil-tagging (TU-tagging) [14] combined with SLAM-Seq [15] to 51 demonstrate loading of miRNAs transcribed in caput epididymis into maturing spermatozoa. TU-52 tagging entails cell-type specific expression of uracil phosphoribosyltransferase (UPRT) and 53 administration of 4-thiouracil, with the assumption that only cells expressing UPRT would 54 incorporate 4-thiouracil into transcribing RNA. Thio-RNA can then be purified and used for 55 downstream gene expression analyses, or alternatively combined with SLAM-Seq to identify 56 labeled transcripts. TU-tagging has proven useful in several additional systems [14, 16, 17], 57 however, given endogenous [18] and alternative [19] pathways for uracil incorporation, the 58 labeling specificity in this method remains unclear. In addition, as is demonstrated in Herzog et. 59 al [15] and by Sharma et. al [13], labeling with TU-tagging of PolI and PolIII transcripts is 60 inefficient, rendering tRNAs and ribosomal transcripts unlabeled. Indeed there are only a limited number of techniques enabling in-vivo targeted labeling of RNAs. 62 In addition to TU-tagging, 5-ethynylcytosine-tagging (EC-tagging) [20] is a new method, which 63 utilizes cell-type specific co-expression of cytosine deaminase (CD) with UPRT to achieve RNA 64 labeling with 5-ethynyluridine (5EU) following administration of 5-ethynylcytosine. Both TU and 65 EC tagging use cre-recombination to express the relevant enzymes in a tissue specific manner and 66 stochastic expression from the cre-promoter may lead to unwanted expression of the enzymes in 67 different tissues [21]. Finally, one recently developed method called Mime-seq allows for cell type 68 specific labeling of microRNA [22]. In this method, tissue specific expression of a plant derived 69 methyltransferase mediates a 3′-terminal 2′-O-methylation of microRNAs that, when combined 70 with a methylation dependent library construction, allows for sequencing of tissue specific 71 microRNAs. Mime-seq allows labeling of miRNAs alone leaving other RNA biotypes unlabeled. 72 Given the need for a technique that allows for a Cre-independent and unbiased labeling of total 73 RNA transcription in-vivo, we developed iTAG-RNA [For In-vivo Targeted Tagging of RNA]. 74 This method incorporates mouse genetics with a novel uridine analog and an established RNA 75 labeling chemistry to allow tagging of total RNA in target cells in-vivo. Using iTAG-RNA we are 76 able to identify transcriptional re-programming of hepatocytes in-vivo following an acute high fat 77 diet stress and to enrich for and identify hepatocyte derived plasma ccfRNAs. Moreover, we are 78 able to identify RNA-based liver-to-adipose RNA transfer. These liver derived ccfRNAs include 79 variable coding and non-coding RNAs such as miRNAs and tRNAs. Among the miRNAs 80 transferred from liver to adipose tissue we find mir-33, mir-10b and mir130a, which target major 81 regulators of cholesterol and lipid efflux and bio-synthesis such as Srebf1 [23], Abca1 [23, 24], 82 Ppara [25] and Pparg [26] respectively. 83 Our study demonstrates for the first time an unbiased technique that allows labelling, tracking and 84 quantification of variable types of ccfRNAs from their transcriptional source to downstream 85 tissues, in which they can potentially act to regulate expression of target genes. We demonstrate 86 RNA-based liver-to-adipose transfer of a myriad of RNA transcripts and their response to an 87 environmental challenge. The continued identification and characterization of RNA based 88 signaling in-vivo is imperative for the understanding of developmental, physiological and 89 pathological processes, and can aid in the future development of relevant disease biomarkers. 90 91 Results . CC-BY-NC-ND 4.0 International license is made available under a

Ex Output:
In-vivo targeted tagging of RNA isolates cell specific transcriptional responses to environmental stimuli and identifies liver-to-adipose RNA transfer 2 3


Ex Input:
Marine diseases are becoming more frequent, and tools for identifying pathogens and disease reservoirs are needed to help prevent and mitigate epizootics. Meta-transcriptomics provides insights into disease etiology by cataloguing and comparing sequences from suspected pathogens. This method is a powerful approach to simultaneously evaluate both the viral and bacterial communities, but few studies have applied this technique in marine systems. In 2009 seven harbor seals, Phoca vitulina, stranded along the California coast from a similar brain disease of unknown cause of death (UCD). We evaluated the differences between the virome and microbiome of UCDs and harbor seals with known causes of death. Here we determined that UCD stranded animals had no viruses in their brain tissue. However, in the bacterial community, we identified Burkholderia and Coxiella burnetii as important pathogens associated with this stranding event. Burkholderia were 100% prevalent and~2.8 log2 fold more abundant in the UCD animals. Further, while C. burnetii was found in only 35.7% of all samples, it was highly abundant (~94% of the total microbial community) in a single individual. In this harbor seal, C. burnetii showed high transcription rates of invading and translation genes, implicating it in the pathogenesis of this animal. Based on these data we propose that Burkholderia taxa and C. burnetii are potentially important opportunistic neurotropic pathogens in UCD stranded harbor seals.

Ex Output:

Brain Meta-Transcriptomics from Harbor Seals to Infer the Role of the Microbiome and Virome in a Stranding Event