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: The endoplasmic reticulum (ER) is an architecturally diverse organelle that serves as a membrane source for the replication of multiple viruses. Flaviviruses, including yellow fever virus, West Nile virus, dengue virus, and Zika virus, induce unique single-membrane ER invaginations that house the viral replication machinery 1 . Whether this virus-induced ER remodeling is vulnerable to antiviral pathways is unknown. Here, we show that flavivirus replication at the ER is targeted by the interferon (IFN) response. Through genome-scale CRISPR screening, we uncovered an antiviral mechanism mediated by a functional gene pairing between IFI6, an interferon-stimulated gene (ISG) cloned over 30 years ago 2 , and HSPA5, which encodes the ER-resident HSP70 chaperone BiP. We reveal that IFI6 is an ERlocalized integral membrane effector that is stabilized through interactions with BiP. Mechanistically, IFI6 prophylactically protects uninfected cells by preventing formation of virus-induced ER membrane invaginations. Notably, IFI6 has little effect on other mammalian RNA viruses, including the related Flaviviridae member hepatitis C virus, which replicates in double-membrane vesicles that protrude outward from the ER. These findings support a model in which the IFN response is armed with a membrane-targeted effector that discriminately blocks the establishment of virus-specific ER microenvironments required for replication. Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:
Example Output: A CRISPR screen identifies IFI6 as an ER-resident interferon effector that blocks flavivirus replication HHS Public Access Author manuscript

Example Input: Estimating temporal changes in a target population from phylogenetic or count data is an important problem in ecology and epidemiology. Reliable estimates can provide key insights into the climatic and biological drivers influencing the diversity or structure of that population and evidence hypotheses concerning its future growth or decline. In infectious disease applications, the individuals infected across an epidemic form the target population. The renewal model estimates the effective reproduction number, R, of the epidemic from counts of its observed cases. The skyline model infers the effective population size, N, underlying a phylogeny of sequences sampled from that epidemic. Practically, R measures ongoing epidemic growth while N informs on historical caseload. While both models solve distinct problems, the reliability of their estimates depends on p-dimensional piecewise-constant functions. If p is misspecified, the model might underfit significant changes or overfit noise and promote a spurious understanding of the epidemic, which might misguide intervention policies or misinform forecasts. Surprisingly, no transparent yet principled approach for optimising p exists. Usually, p is heuristically set, or obscurely controlled via complex algorithms. We present a computable and interpretable p-selection method based on the minimum description length (MDL) formalism of information theory. Unlike many standard model selection techniques, MDL accounts for the additional statistical complexity induced by how parameters interact. As a result, our method optimises p so that R and N estimates properly adapt to the available data. It also outperforms comparable Akaike and Bayesian information criteria on several classification problems. Our approach requires some knowledge of the parameter space and exposes the similarities between renewal and skyline models.
Example Output: Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models

Example Input: Mice on a calorie-restricted (CR) diet (total calories restricted to 70% of ad libitum; AL) for periods of time ranging from 3 to 18 months were examined for response to topical treatment with all-trans retinoic acid (RA). Daily application of a 0.1% solution of RA to the shaved skin of UM-HET3 mice on an AL diet produced a severe irritation that was evident by day 4, maximal at day 7-8 and still detectable at day 14. Skin irritation was characterized by redness, dryness, Xaking and failure of the hair to grow at the treated site. In CR mice, the same treatment produced little detectable irritation. Animals were sacri-Wced at the end of the retinoid-treatment period (day 7 or day 14) and skin from these animals was examined histologically. In both AL and CR mice, a similar degree of epidermal hyperplasia was observed. Numerous inXammatory cells (mononuclear cells and granulocytes) were present in the skin of both groups. Occasional S100-positive cells (presumably Langerhans cells) were also observed in the epidermis of skin from both groups. S100-positive cells were also observed in the dermis. When skin from CR and AL mice was incubated in organ culture for 3 days (on day 7 after initiation of RA treatment), similar levels of four diVerent pro-inXammatory cytokines were found in the conditioned medium. Soluble type I collagen levels were also similar. In contrast, the level of matrix metalloproteinase-9 was lower in the conditioned medium of skin from CR mice than in conditioned medium from skin cultures of AL mice. Taken together, these studies suggest that CR may provide a way to mitigate the irritation that normally accompanies RA treatment without compromising the ben-eWcial eVects of retinoid use. CR appears to exert a protective eVect at the target tissue level rather than by a reduction in pro-inXammatory events, per se.
Example Output:
Inhibition of retinoic acid-induced skin irritation in calorie-restricted mice