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

[EX Q]: showing signs of disease in southern China during the period from 2013-2015. The nucleotide and amino acid sequences from the isolated field strains were compared to 42 published references. Nucleotide homologies ranged from 63.1-99.9% and amino acid homologies ranging from 60.2-100%. At least seven IBV genotypes were co-circulating in commercial chicken farms in southern China. The IBV isolates were genetically diverse and underwent continuing evolution. The QX-type, TW I-type, and 4/91-type were the most common genotypes during the three-year observation period and accounted for 88.8% of the isolated strains. Notably, the prevalence of the TW I-type strains has been increasing in recent years and has become the most common genotype in China. The emergence of variant IBV strains can be attributed to recombination. Serologic analysis and antigenic 3D cartography of 4 reference and 14 field isolated strains indicated the surveyed IBVs had diverse serology types and that the serotype of the isolated QX-type and TW I-type strains was distinct from the vaccines strains. Therefore, long-term continuing surveillance is necessary for IBV prevention and control. Avian infectious bronchitis (IB) is an acute and highly contagious disease caused by the avian infectious bronchitis virus (IBV). IB causes substantial economic losses throughout the poultry industry worldwide. IBV affects chickens of all ages causing upper respiratory disease, nephritic syndromes, and decreased egg production 1 . IBV has been circulating in China since 1982. The epidemiology of IBV in China is complicated due to the large geographical area, and multiple IBV genotypes and serotypes are known to coexist 2 . Our previous epidemiology monitoring during 2004 to 2012, found at least seven genotypes of IBV circulating. In that study, the QX-like IBV genotype that causes nephritis had become predominant in China 3-6 . Although IBV vaccines are widely used and most commercial chickens have been vaccinated, there are still frequent outbreaks of IB that cause clinical disease and production problems 7-9 . For example, widespread use of vaccines derived from Massachusetts (Mass) serotypes such as H120 and H52 did not prevent frequent outbreaks of IB in chicken flocks 10, 11 . IBV belongs to the genus Gammacoronavirus, family Coronaviridae, and order Nidovirales. Its genome is linear, non-segmented, positive-sense, single-stranded RNA that is approximately 27.6 kilobases (kb) in length. As with other coronaviruses, the IBV S1 glycoprotein contains virus neutralizing epitopes and serotype-specific sequences 12, 13 . The S1 protein is involved in infectivity and plays an important role in attachment to the host cell, as well as induction of neutralizing antibodies 14 . Given the importance of the S1 protein virus/host interactions, IBV genetic analysis and research of IBV has been primarily based on the S1 gene 15 . Variation in the S1 protein is the basis for genotype and serotype classification, defines antigen characteristics, contributes to emergence of IBV variants, and poor vaccine protection 13, 16 . S1 variability is due in part to the lack of proofreading by the RNA-dependent RNA polymerase (RDRP) that introduces mutations into the viral genome during replication. Variation is also introduced by the specific template switching mechanism used by coronaviruses, which frequently leads to genetic recombination 17, 18 . At least 30 serotypes of IBV have been identified worldwide. Vaccine cross-protection between serotypes is minimal 19 . Therefore, phylogenetic and genetic analyses have become tools for monitoring the molecular evolution of IBV and provide a fast and accurate method for genotype classification. In some studies, the genotype analyses have been used to predict IBV serotype and used to inform vaccine selection 20 . In this study, long-term surveillance was conducted with the aim of identifying IBV strains isolated from commercial chicken farms in south China. During 2013-2015, IBV strains were isolated from flocks with clinical outbreaks. Genetic, phylogenetic, and recombination analyses were performed to study the genetic diversity of the S1 gene in field isolated IBV strains. Cross-neutralization tests and antigenic cartography were performed to determine the serological and antigenic relationship between a part of the isolated and vaccine strains.
[EX A]: Epidemiology and characterization of avian infectious bronchitis virus strains circulating in southern China during the period from 2013-2015 OPEN

[EX Q]: This data article informs about Chiropteran diversity, new records, ecosystem services and possible pathogen carriers in fragmented forests (sub-divided by utility corridors, man-made structures, untouched and secondary plantations) within districts Setiu (Setiu Research Station), Hulu Terengganu (Saok and Lasir waterfalls) and Besut (Gunung Tebu Forest Reserve) of state Terengganu, Peninsular Malaysia. These bats were captured using harp traps and mist nets that were set 10 m apart across flyways, streams and less cluttered trees in the 50 m Â 50 m transect zones (identified at each site). All animals were distinguished by morphology and gender before their release at the site of capture. The data comprise of five bat family groups Hipposideridae, Megadermatidae, Pteropodidae, Rhinolophidae and Vespertilionidae. It is interesting to note that untouched Saok Waterfalls is home to wide variety of bats listed (68.8%), followed by secondary forests of Gunung Tebu Forest Reserve (24.8%), untouched Lasir Waterfalls (4.8%) and lastly, Setiu Research Station as least favored (1.6%). Chiroptera like Cynopterus brachyotis (n ¼ 23, 37.7%), Hipposideros bicolor (n ¼ 6, 9.8%) and Scotophilus kuhli (n ¼ 6, 9.8%) were most dominant in the checklist whereas Hipposideros armiger,
[EX A]:
Linkages between Chiropteran diversity and ecosystem services for sustainable fragmented forest conservation