Yi Zhang
Sep 1, 2005; 4:1240-1250
Research

Research Event

Event participants

David Roberts, Assistant Professor and School of Security Studies Lead for Regional Security and Development, King's College London
Kristian Coates Ulrichsen, Associate Fellow, Middle East and North Africa Programme, Chatham House
Chair: Sanam Vakil, Deputy Director and Senior Research Fellow, Middle East and North Africa Programme, Chatham House

Research Event

Event participants

HE Dr Motsoahae Thomas Thabane, Prime Minister of Lesotho
Chair: Ian Lucas MP, Shadow Minister for Africa and the Middle East

You’re a fantasy writer. You’ve created an amazing and original world, full of wondrous magic, mind-blowing monsters, and fascinating new cultures. You’ve got powerful heroes, menacing villains, and mysterious mentors. There’s just the right amount of romance.

In short, you’ve got all that good stuff you’d expect to find in a fantasy novel.

Only, somehow it’s still not coming out quite as awe-inspiring as you’d envisioned it.

Today, I’ve got three tips for you on how to make your awesome stuff seem more awesome.

Establish the Norm

“When everything is awesome, awesome becomes average.”

Every now and then, I come across a book that begins with the writer very obviously trying to impress me with how cool their main character is, and what an amazing world they have created, and how scary the villain is. All at once. In the first chapter.

It rarely works.

Let’s say there’s a ballroom full of ultra-rich and mega-powerful vampires, and then someone flies in on a golden unicorn and starts shooting fireballs the shape of grinning skulls.

That would probably look rather spectacular as an introduction to a movie, but does it work in a book?

Continue reading Make It Awesome — Three Tips for Impressing Your Readers at Mythic Scribes.

Signaling networks process intra- and extracellular information to modulate the functions of a cell. Deregulation of signaling networks results in abnormal cellular physiological states and often drives diseases. Network responses to a stimulus or a drug treatment can be highly heterogeneous across cells in a tissue because of many sources of cellular genetic and non-genetic variance. Signaling network heterogeneity is the key to many biological processes, such as cell differentiation and drug resistance. Only recently, the emergence of multiplexed single-cell measurement technologies has made it possible to evaluate this heterogeneity. In this review, we categorize currently established single-cell signaling network profiling approaches by their methodology, coverage, and application, and we discuss the advantages and limitations of each type of technology. We also describe the available computational tools for network characterization using single-cell data and discuss potential confounding factors that need to be considered in single-cell signaling network analyses.

Reactive oxygen and nitrogen species have been implicated in many biological processes and diseases, including immune responses, cardiovascular dysfunction, neurodegeneration, and cancer. These chemical species are short-lived in biological settings, and detecting them in these conditions and diseases requires the use of molecular probes that form stable, easily detectable, products. The chemical mechanisms and limitations of many of the currently used probes are not well-understood, hampering their effective applications. Boronates have emerged as a class of probes for the detection of nucleophilic two-electron oxidants. Here, we report the results of an oxygen-18–labeling MS study to identify the origin of oxygen atoms in the oxidation products of phenylboronate targeted to mitochondria. We demonstrate that boronate oxidation by hydrogen peroxide, peroxymonocarbonate, hypochlorite, or peroxynitrite involves the incorporation of oxygen atoms from these oxidants. We therefore conclude that boronates can be used as probes to track isotopically labeled oxidants. This suggests that the detection of specific products formed from these redox probes could enable precise identification of oxidants formed in biological systems. We discuss the implications of these results for understanding the mechanism of conversion of the boronate-based redox probes to oxidant-specific products.