Molecular Information Systems Lab

38 posts

Molecular Information Systems Lab

Molecular Information Systems Lab

@datamolecules

Katılım Kasım 2017
47 Takip Edilen318 Takipçiler
Molecular Information Systems Lab retweetledi
Jeff Nivala
Jeff Nivala@jeffnivala·
Published today in @Nature, we describe an approach for single-molecule protein reading on @nanopore arrays. By utilizing ClpX unfoldase to ratchet proteins through a CsgG nanopore, we achieved single-amino-acid sensitivity. nature.com/articles/s4158…
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Molecular Information Systems Lab retweetledi
GenomeTDCC
GenomeTDCC@GenomeTDCC·
🚨Pre-Print Alert🚨 Single-molecule protein sequencing is the next frontier in sequencing technology. Latest from @jeffnivala and colleagues - reading hundreds of amino acids and PTMs along protein strands AND re-read multiple times w/@nanopore arrays! 👇biorxiv.org/content/10.110…
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Molecular Information Systems Lab retweetledi
Jeff Nivala
Jeff Nivala@jeffnivala·
Yesterday we released our preprint showing how a @nanopore array morphs into a protein sequencer... Achieving LONG reads (hundreds of amino acids) and the capability to re-read individual molecules multiple times, all thanks to a protein-processive molecular motor.
Keisuke Motone / 元根 啓佑@KeisukeMotone

Our preprint is out! We hacked the @nanopore sequencer to read amino acids and PTMs along protein strands. This opens up the possibility for barcode sequencing at the protein level for highly multiplexed assays, PTM monitoring, and protein identification! biorxiv.org/content/10.110…

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Molecular Information Systems Lab retweetledi
Keisuke Motone / 元根 啓佑
Keisuke Motone / 元根 啓佑@KeisukeMotone·
Our preprint is out! We hacked the @nanopore sequencer to read amino acids and PTMs along protein strands. This opens up the possibility for barcode sequencing at the protein level for highly multiplexed assays, PTM monitoring, and protein identification! biorxiv.org/content/10.110…
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Molecular Information Systems Lab retweetledi
GenomeTDCC
GenomeTDCC@GenomeTDCC·
⏲️There's still time to register!! (FREE) SINGLE-MOLECULE PROTEIN SEQUENCING webinar happening this Friday, May 19 at 11 AM EDT SPEAKERS: Jag Swaminathan, @erisyon Jeff Nivala, @UW Giovanni Maglia, @univgroningen 👉jax.org/education-and-…
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Molecular Information Systems Lab
Molecular Information Systems Lab@datamolecules·
We are very excited to see MISL undergraduate researchers Kyvalya, Sangbeom, Zoe, and Derek present at the University of Washington’s Undergraduate Research Symposium tomorrow, Friday May 19! More information is in the proceedings at symposium.uw.edu. #HuskyResearch
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Molecular Information Systems Lab retweetledi
Engage Science
Engage Science@EngageScience·
Samantha gets DNA molecules to do math – She is making DNA calculators that can go into blood samples and diagnose for disease directly, without the need for expensive equipment. Come learn more at our 3rd Science Now talk 5/10/23 @ 5:30PM at @THSEA townhallseattle.org/event/kaylin-e…
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Molecular Information Systems Lab retweetledi
Engage Science
Engage Science@EngageScience·
"What do you think of when you hear the phrase 'DNA'? Testing services like ancestry .com and 23andme? The hit songs by BTS and Kendrick Lamar?" Read more from "DNA Origami: Life Imitating Art" Samantha Borje here: engage-science.space/blog/2021/6/6/…
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Molecular Information Systems Lab retweetledi
Allen School
Allen School@uwcse·
After planting early seeds of a career in theoretical physics, #UWAllen @uw_ece professor Georg Seelig branched out into DNA computing. He was recognized with the 2023 #ISNSCE Rozenberg Tulip Award—a.k.a. “DNA Computer Scientist of the Year”—for his work: news.cs.washington.edu/2023/03/21/roz…
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Molecular Information Systems Lab retweetledi
Nature Methods
Nature Methods@naturemethods·
A Comment by @KeisukeMotone and @jeffnivala highlights the challenges of fully decoding amino acids and their modifications using protein nanopore sequencing technology, and discusses its unique potential for single-cell proteomics. nature.com/articles/s4159…
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Molecular Information Systems Lab retweetledi
Jeff Nivala
Jeff Nivala@jeffnivala·
We look towards a future of nanopore protein sequencing when single-molecule meets single-cell. scPeptide-barcoding, full-length protein reads, and “near-pore” processing…
Nature Methods@naturemethods

A Comment by @KeisukeMotone and @jeffnivala highlights the challenges of fully decoding amino acids and their modifications using protein nanopore sequencing technology, and discusses its unique potential for single-cell proteomics. nature.com/articles/s4159…

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Molecular Information Systems Lab retweetledi
Lee Organick
Lee Organick@LOrganick·
New PhD thesis just publicly dropped (see if you can spot the pun). If you've always wondered about DNA data storage but don't know much about it, pages 1-4 might be helpful! digital.lib.washington.edu/researchworks/…
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