SheqLab

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SheqLab

SheqLab

@ShechnerLab

The Shechner lab in UW Pharmacology. We study Noncoding RNAs and cellular architecture. He/His/Him. All comments are my own. @ShechnerLab.bsky.social

Seattle, WA Entrou em Eylül 2018
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SheqLab
SheqLab@ShechnerLab·
It's my pleasure to present the next big preprint from SheqLab! An exciting application of our O-MAP platform that I hope will transform the study of nuclear architecture. If you've ever wanted to dissect the subnuclear "neighborhood" around an individual locus, read on! (1/30)
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SheqLab
SheqLab@ShechnerLab·
AWESOME CONFERENCE ALERT!! I had an absolute blast at the Fusion “Genome Regulation Through RNA” meeting back in 2024, and psyched to see its upcoming return! Let’s geek out about all things Chromatin and RNA together, in Cancun! Talk abstract deadline: 10/17 Details👇
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SheqLab
SheqLab@ShechnerLab·
Hello RNA World! Ever wonder what's "talking to" your favorite transcript, but were too scared to ask? In our review in @CellReports, @FKHM and I highlight new RNA-focused tools for discovering RNA interactions across organizational scales. Checkit! tinyurl.com/ydn6e3ac
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SheqLab@ShechnerLab·
@aliceyting Awesome! Great seeing this cool work out in the world. Congrats!!
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Alice Ting
Alice Ting@aliceyting·
Today we report the directed evolution of HUH (a sequence-sequence covalent protein tag for ssDNA labeling) into rHUH, a sequence-specific covalent protein tag for RNA labeling. rHUH was hard to engineer: the initial HUH template had no RNA activity, so we started with RNA-DNA hybrids. 30 rounds of selection on the yeast surface were required, and 7 cycles of library diversification. The final rHUH tag is 13.4 kD, has 12 mutations relative to HUH, and covalently labels as little as 1 nM target RNA within minutes. The labeling works well in mammalian cell lysate, but not yet in the interior of living cells – possibly due to the high Mg2+ requirement and imperfect sequence specificity resulting in significant background labeling of endogenous transcripts. There is still work to be done for this to be a dream tool for RNA imaging/editing/mapping in living cells, but rHUH provides a good starting point and it is definitely good enough for in vitro applications. Congratulations to postdoc @RongbingHuang, whose creativity, persistence, and resourcefulness made rHUH possible! We are grateful to NSF and Biohub for funding this work. pnas.org/doi/10.1073/pn…
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SheqLab
SheqLab@ShechnerLab·
TOP FIVE METABOLIC PATHWAYS …Based on whether they sound like the name of an old-school anime: 5. The Pentose-Phosphate Shunt 4. Peptidoglycan Degradation 3. Fatty Acid Beta-Oxidation 2. The Dark Reactions of the Calvin Cycle 1. Gluconeogenesis
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Saurja DasGupta
Saurja DasGupta@SaurjaDasGupta·
Another feather for #DasGuptaLab postdoc extraordinaire, Dr. Annyesha Biswas! Annyesha was selected to present her research on discovering new ligase ribozymes at the Research Horizons Symposium at Notre Dame. She gave a fantastic talk and won the best poster award to boot!
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