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.

Example Input: Containment of the SARS coronavirus (SCV) outbreak was accompanied by the rapid characterization of this new pathogen's genome sequence in 2003, encouraging the development of anti-SCV therapeutics using short interfering RNA (siRNA) inhibitors. A pair of siRNA duplexes identified as potent SCV inhibitors in vitro was evaluated for in vivo efficacy and safety in a rhesus macaque SARS model using intranasal administration with clinical viable delivery carrier in three dosing regimens. Observations of SCV-induced SARS-like symptoms, measurements of SCV RNA presence in the respiratory tract, microscopic inspections of lung histopathology, and immunohistochemistry sections from 21 tested macaques consistently demonstrated siRNA-mediated anti-SCV activity. The prophylactic and therapeutic efficacies resulted in relief of animals from SCV infectioninduced fever, diminished SCV in upper airway and lung alveoli, and milder acute diffuse alveoli damage (DAD). The dosages of siRNA used, 10 to 40 mg/kg, did not show any sign of siRNA-induced toxicity. These results support that a clinical investigation of this anti-SARS siRNA therapeutic agent is warranted. The study also illustrates the capability of siRNA to enable a massive reduction in development time for novel targeted therapeutic agents. We detail a representative example of large-mammal siRNA use.
Example Output: Application of siRNA Against SARS in the Rhesus Macaque Model

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

Example Input: The recently reported Middle East respiratory syndrome coronavirus (MERS-CoV) is phylogenetically closely related to the bat coronaviruses (BatCoVs) HKU4 and HKU5. However, the evolutionary pathway of MERS-CoV is still unclear. A receptor binding domain (RBD) in the MERS-CoV envelope-embedded spike protein specifically engages human CD26 (hCD26) to initiate viral entry. The high sequence identity in the viral spike protein prompted us to investigate if HKU4 and HKU5 can recognize hCD26 for cell entry. We found that HKU4-RBD, but not HKU5-RBD, binds to hCD26, and pseudotyped viruses embedding HKU4 spike can infect cells via hCD26 recognition. The structure of the HKU4-RBD/hCD26 complex revealed a hCD26-binding mode similar overall to that observed for MERS-RBD. HKU4-RBD, however, is less adapted to hCD26 than MERS-RBD, explaining its lower affinity for receptor binding. Our findings support a bat origin for MERS-CoV and indicate the need for surveillance of HKU4-related viruses in bats.
Example Output:
Article Bat Origins of MERS-CoV Supported by Bat Coronavirus HKU4 Usage of Human Receptor CD26