Choosing Fame Over Family

The fame of two or more commonly owned trademarks is a powerful weapon in the trademark owner’s enforcement arsenal if the trademarks have a particular feature or element in common. Indeed, recent developments in the law of trademarks suggest that the fame of the senior user’s group of marks with a common element is a more significant factor in a likelihood of confusion analysis than the senior user’s ability to establish that it owns a “family of marks.” In deciding questions of likelihood of confusion, courts must often place themselves “in the position of an average purchaser or prospective purchaser in an attempt to understand what the normal reaction would be to the marks as they are encountered in the marketplace or in promotional and advertising material.” Thus, the proponent must show by competent evidence: (1) that prior to the entry into the field of the opponent’s mark, all or many of the marks in the alleged family were used and promoted together in such a way as to create a public perception of the common element as an indication of common source; and (2) that the common element is distinctive

cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks

Background: With the burgeoning development of cloud technology and services, there are an increasing number of users who prefer cloud to run their applications. All software and associated data are hosted on the cloud, allowing users to access them via a web browser from any computer, anywhere. This paper presents cisPath, an R/Bioconductor package deployed on cloud servers for client users to visualize, manage, and share functional protein interaction networks. Results: With this R package, users can easily integrate downloaded protein-protein interaction information from different online databases with private data to construct new and personalized interaction networks. Additional functions allow users to generate specific networks based on private databases. Since the results produced with the use of this package are in the form of web pages, cloud users can easily view and edit the network graphs via the browser, using a mouse or touch screen, without the need to download them to a local computer. This package can also be installed and run on a local desktop computer. Depending on user preference, results can be publicized or shared by uploading to a web server or cloud driver, allowing other users to directly access results via a web browser. Conclusions: This package can be installed and run on a variety of platforms. Since all network views are shown in web pages, such package is particularly useful for cloud users. The easy installation and operation is an attractive quality for R beginners and users with no previous experience with cloud services.SCI(E)CPCI-S(ISTP)[email protected]

Practical data collection and extraction for big data applications in radiotherapy

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/2/mp12817_am.pd

Low‐degree structure in Mercury's planetary magnetic field

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96330/1/jgre3134.pd

Plasma pressure in Mercury's equatorial magnetosphere derived from MESSENGER Magnetometer observations

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95264/1/grl28621-sup-0002-txts01.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/95264/2/grl28621.pd

SIRT1 is regulated by a PPARγ–SIRT1 negative feedback loop associated with senescence

Human Silent Information Regulator Type 1 (SIRT1) is an NAD+-dependent deacetylase protein which is an intermediary of cellular metabolism in gene silencing and aging. SIRT1 has been extensively investigated and shown to delay senescence; however, less is known about the regulation of SIRT1 during aging. In this study, we show that the peroxisome proliferator-activated receptor-γ (PPARγ), which is a ligand-regulated modular nuclear receptor that governs adipocyte differentiation and inhibits cellular proliferation, inhibits SIRT1 expression at the transcriptional level. Moreover, both PPARγ and SIRT1 can bind the SIRT1 promoter. PPARγ directly interacts with SIRT1 and inhibits SIRT1 activity, forming a negative feedback and self-regulation loop. In addition, our data show that acetylation of PPARγ increased with increasing cell passage number. We propose that PPARγ is subject to regulation by acetylation and deacetylation via p300 and SIRT1 in cellular senescence. These results demonstrate a mutual regulation between PPARγ and SIRT1 and identify a new posttranslational modification that affects cellular senescence