New work from our lab by the amazing @LaurelKinman, @MariaVCarreira, and @barrettmpowell here: Our lab has found SIREn super useful, and I expect you will too! . Also, check out the soon-to-be-announced Kinman lab @UCSF. exciting days ahead!!!.

RT @AGhanbarpour: I am looking for a highly talented postdoc to join my lab to study ATP-dependent AAA machines using structural biology, b….

RT @lindsey__young: hey #teamtomo if you are looking to add to your toolkit for molecular identification inside cells, our preprint is now….

RT @jomaa_lab: Happy to share our little discovery with @SimoneMattei19 team on how ribosomes hibernate upside down on mitochondria during….

RT @LaurelKinman: @UCSFChimeraX @MariaVCarreira @EMDB_EMPIAR Grateful to my coauthors @MariaVCarreira @barrettmpowell @jhdavislab for all t….

RT @LaurelKinman: @UCSFChimeraX @MariaVCarreira @EMDB_EMPIAR We anticipate this tool will have broad utility – there is a need for a more u….

RT @LaurelKinman: @UCSFChimeraX Lastly, in work led by my coauthor @MariaVCarreira, we trained a 3D convolutional neural network on thousan….

RT @LaurelKinman: @UCSFChimeraX We also describe several pipelines for leveraging the inferred blocks to identify homogeneous subsets of pa….

RT @LaurelKinman: The result is SIREn (Subunit Inference from Real-space Ensembles), which takes as input a large volume ensemble (typicall….

RT @LaurelKinman: To address these challenges, we hypothesized that we should be able to infer regions of variability (or ‘structural block….

RT @LaurelKinman: But these approaches are limited in their power/utility: they’re poorly suited to characterizing conformational heterogen….

RT @LaurelKinman: In previous work, we’ve shown the power of atomic model -based approaches to survey and quantify heterogeneity across an….

RT @LaurelKinman: With the advent of modern heterogeneous reconstruction tools and particularly deep learning -based approaches, we now hav….

RT @LaurelKinman: I’m excited to share our latest preprint, where we showcase the development of two computational tools to facilitate the….

@BertinaTelusma Ever wonder how cell’s survive dramatic changes to their environment? Two new exciting #preprints from the lab highlight the role of protein degradation as cells adapt. I’m incredibly proud of this work led by.@BertinaTelusma and @ds_cui .– follow this space for more info.

Super excited for each of these fantastic scientists to put their work out in the world - @ds_cui is starting to look for faculty positions and @BertinaTelusma is considering post-doc options. Any lab/department would be lucky to recruit them, so reach out!!!.

In a related study using a similar mass-spec based approach, @ds_cui uncovers how the lysosome and proteasome collaborate in mammalian cells, finding interesting crosstalk between the pathways for a subset of cellular proteins. Learn more here:

Using pulse-labeling mass spectrometry, @BertinaTelusma details how yeast use bulk autophagy to survive acute nitrogen starvation, revealing key details of how individual proteins are degraded. Read more here:

RT @MandanaMsrp: Congratulations Dr. BERTINA TELUSMA #MSRPBio 2014 & ���@HHMINEWS⁩ EXROP alumus for a FANTASTIC PhD thesis ⁦@MITBiology⁩ ⁦@M….

Incredibly fun to work with @AGhanbarpour and Bob Sauer on this project - read more here: Also, exciting things brewing in the Ghanbarpour lab at WashU, be sure to check out Ali's new group (!!.