Assistant Professor @ Feinberg-Northwestern, Columbia & UNC-Chapel Hill alumni.
Interested in chromosome segregation, cancer biogenesis, sports. Tweets my own.
Very happy to tweet about the most recent publication from @DileepVarmaLab@NU_CDB. Spindle microtubule-binding proteins including the Ska1 complex and the DNA replication licensing factor, Cdt1, enable the kinetochore-localized Ndc80 complex to form robust....1/n
Rahi, Varma, et al show that the replication licensing protein, Cdt1, synergizes with #kinetochore Ndc80 & the Ska1 complexes to form a tripartite Ndc80-Cdt1-Ska1 complex that can robustly & processively track dynamic #microtubule plus-ends during #mitosis https://t.co/QJMId0obrq
I feel like crap. I didn’t get any grants this year, so I had to let go of my super talented postdoc—someone with a doctorate who’s now unemployed, without benefits or retirement, and still grinding away on a paper... Postdocs are the most unappreciated and undervalued positions at the PhD level-highly qualified, yet paid less than industry techs in Boston (with a BS degree) , forced to work weekends without benefits or job security, and at risk of losing everything if a grant isn't funded. Name another PhD role that's treated with less respect and value by the system.
A scientist from UNC Chapel Hill is running for congress in NC for a seat currently held by a republican. If you care about science (and democracy) please consider donating to his campaign
https://t.co/1GDu89PQEY
Today @AnthropicAI released PubMed integration for Claude. No hallucinations. Just real science, real data. As a beta tester, this has been a game changer—like having a supercharged research assistant. Here are 6 prompts that will transform how you search the literature. A 🧵
Researchers have developed a #DeepLearning system called BioEmu that rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function.
Learn more this week in Science: https://t.co/Pe15hm9F52
I responded to the NIH request for information on the cap for publishing costs. The deadline is Sept 15.
In short, my view is that NIH should cap journal publishing costs at $0. Journals delay science for months if not years, obscure peer review such that much reviewer effort is wasted, and create false certainty through their opaque gatekeeping. They've long devolved into career currency rather than tools for advancing science.
Public funds should directly support robust public infrastructure: preprint servers, data repositories, automated solutions that reduce costs, and tools to facilitate interoperability/discoverability/reuse --not outdated publishing models that hold back progress.
We need robust author-driven dissemination, transparent discussion, and solutions leveraging new technologies that improve utility of science -- not more subsidies for hopelessly broken systems. The NIH should fund a better future that taxpayers deserve
The @LurieCancer (LCC) went thru competing renewal of NCI designation. For a 2nd time we got "exceptional" ranking. The NCI site visit team gave a "perfect exceptional" (equivalent to 10). LCC is one of few in the nation and the only one in IL to ever achieve exceptional status.
Your Action Is Needed!
Congress needs to hear from scientists. Call your representatives to oppose funding freezes and restrictions on research. Find contact info at https://t.co/kXwPoeLUgW and make your voice heard today! #SciencePolicy
https://t.co/8KZSUZUxZy
My heart is broken as I announce the passing of my beloved husband, science partner and friend, Michael Sheetz. A remarkable scientist we packed 40 years of living into 20. Rejuvenation of senescent cells and mice in Press in Aging Cell; his last words were this was his best work
#CYTOSKELETON 2024 metrics are in. PUBLISHED ARTICLES are up 90% over 2023. Up 383% over 2022. Thanks for all of your support! Stay tuned for more metrics this week! #cell#cellbiology#research#publication (background is from https://t.co/4W1SY0w60W)
When you’re a grad student (at least back in the day), the conventional wisdom was to change your research direction or organism as a postdoc — to ensure you got some educational value out of the next stage.
One of the main reasons I chose the postdoc lab I did was because when I visited, the students/postdocs were using so many different model systems… whatever best suited their research question. There were almost as many organisms in use as there were people in the lab. I found it such a refreshing approach. What if everyone could do this with even more accuracy to identify the most effective model systems for human-relevant insights?
Smash cut to 15 years later. Check out our data-driven approach for choosing the best research organism for your favorite genes of interest. Check out the organism selection pipeline from @ArcadiaScience:
The concept: https://t.co/2x9bTZJQOU
The approach/analysis: https://t.co/AEcYbg1Man
The validation: https://t.co/xxhnJVrGfE