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Anita Donlic

@anitadonlic.bsky.social
86 followers 40 following 30 posts

donliclab.com Assistant Professor at WashU BMB. Former postdoc at Princeton in Brangwynne lab, PhD at Duke in Hargrove lab. Working at the intersection of RNA chemical biology, condensates, and AI. Originally from Bosnia & Herzegovina

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Anita Donlic @anitadonlic.bsky.social · 16/09/2026
🔬 Staff Scientist Looking for someone with strong mammalian cell culture + microscopy experience who is excited about extracting biological insight from imaging data. Programming/image analysis experience important; ML/computer vision a big plus! Apply: wustl.wd1.myworkdayjobs.com/External/job...
wustl.wd1.myworkdayjobs.com
Staff Scientist - Biochemistry
Location ST. LOUIS, MO 63110 Scheduled Hours 40 Position Summary The candidate is expected to independently design, conduct, and analyze mammalian cell culture and quantitative fluorescence microscopy...
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Anita Donlic @anitadonlic.bsky.social · 16/09/2026
🧬 Research Technician Looking for someone interested in molecular biology/biochemistry to work on cloning, PCR, nucleic acid purification, in vitro transcription, gels & more. Mammalian cell culture experience is a plus, but not required. Apply: wustl.wd1.myworkdayjobs.com/External/job...
wustl.wd1.myworkdayjobs.com
Research Technician II - Biochemistry
Location ST. LOUIS, MO 63110 Scheduled Hours 40 Position Summary Assists with the technical aspects of studies and experiments, including documentation and preparation of materials. Will also support ...
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Anita Donlic @anitadonlic.bsky.social · 16/09/2026
We have openings for a Research Technician + Staff Scientist! 👇Please help spread the word or share with someone who might be a great fit. Both positions are a chance to join at the very beginning and help shape the science and culture of a brand-new lab. 🧪✨ Please apply via the links below 🔗.
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Anita Donlic @anitadonlic.bsky.social · 16/09/2026
🎉 I'm thrilled to announce that the Ðonlić Lab has officially opened this month in the BMB department @wusm-bmb.bsky.social at @washumedicine.bsky.social! The lab will study how condensates shape RNA interactions, therapeutic activity, and disease progression. And - we're hiring! 👇
donliclab.com
Đonlić Lab
Decoding cellular biochemistry from microscopy: chemical tools, RNA biophysics, and machine learning in condensates.
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Reposted by Anita Donlic
Sovanny ‘Sophie’ Taylor @sovannytaylor.bsky.social · 26/08/2026
I'm so excited to share our preprint! We asked a deceptively simple question: how do cationic cell-penetrating peptides (+CPPs) - found in immunity, venoms, and disease actually enter cells? www.biorxiv.org/content/10.6...
biorxiv.org
Lipoproteins modulate the uptake and biological function of cationic cell-penetrating peptides across the animal lineage.
Cationic cell-penetrating peptides (+CPPs) are pervasive killer peptides produced by all animals and found in innate immune systems, venoms and neurodegenerative diseases. Despite their ubiquity, the ...
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Reposted by Anita Donlic
Jerelle Joseph @jerelleaj.bsky.social · 20/08/2026
Out now in #JACS work led by the talented @nathanieldhess.bsky.social on protein folding inside condensates!! pubs.acs.org/jacsat/artic...
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Reposted by Anita Donlic
Alex Holehouse @alexholehouse.bsky.social · 29/07/2026
Huge congrats to the many authors who over MANY years worked on this (but especially @karaehunt.bsky.social , @trevorbrandt.bsky.social, Karina, @shaharsu.bsky.social and @remenecker.bsky.social. www.nature.com/articles/s41...
nature.com
Rational design of disordered proteins for sequence–function investigation - Nature
GOOSE enables the design and testing of thousands of disordered protein region sequences to reveal distinct sequence-to-function relationships.
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Anita Donlic @anitadonlic.bsky.social · 05/06/2026
Super grateful to the amazing dream team from @brangwynnelab.bsky.social and @aiinglim.bsky.social labs that made this work possible!
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Anita Donlic @anitadonlic.bsky.social · 05/06/2026
Thrilled to see our Deep-Phase paper now online in @cellcellpress.bsky.social! 🎉 The final version expands Deep-Phase across labeling modalities, adds dual-condensate imaging to dissect pathway specificity, and shows greater robustness to batch effects than classical image-analysis methods.
cell.com
Deep learning of functional perturbations from condensate morphology
A deep learning method quantitatively decodes nucleolar, nuclear speckle, and viral condensate morphology to reveal underlying biochemical states. Applying this framework reveals a previously unrecogn...
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Reposted by Anita Donlic
Jordy F. Botello @jbotello.bsky.social · 10/03/2026
Some molecular machines, like ribosomes, can persist for long periods of time in cells. Could molecular aging of ribosomes shape how proteins are made? In our new preprint we track ribosomes as they age in cells and uncover unexpected effects on translation (1/10) www.biorxiv.org/content/10.6...
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Reposted by Anita Donlic
Amy Strom @dnamystrom.bsky.social · 22/01/2026
I'm hiring a summer intern! Pursuing a PhD and interested in industry experience? Apply at the link below by Jan 26 to spend 12 weeks onsite at South San Francisco with Genentech's Discovery Oncology department in May-July 2026 pursuing novel therapies targeting disordered protein regions.
roche.wd3.myworkdayjobs.com
2026 Summer Intern - Discovery Oncology
2026 Summer Intern - Discovery Oncology Department Summary The Department of Discovery Oncology is seeking a talented and motivated summer intern to join the biology research efforts to identify and c...
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Anita Donlic @anitadonlic.bsky.social · 29/09/2025
Congratulations!! This is so exciting and well-deserved. 🎉
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
... Prof. Ai Ing Lim and @kristantunes.bsky.social for a great help with the virus work, and Cliff @brangwynnelab.bsky.social for all the support and guidance!
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
To say that this took a village would be an understatement. I’m incredibly grateful to my collaborators in the @brangwynnelab.bsky.social : Troy Comi, @sofiquinodoz.bsky.social, @nima-jaberi.bsky.social, Lenny Weisner and Lifei Jiang, ...
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
🌟 Big picture 🌟 ✔️ Condensate morphology encodes function ✔️ Deep-Phase translates images into quantitative readouts of drug biochemical potency ✔️ Future applications: phenotypic screens, MoA studies, biomarkers, single-cell heterogeneity detection (10/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Integrating our discoveries, we came up with a new model for nucleolar phase boundary maintenance, in which both the abundance and processing state of rRNA📊 dictate the multiphase arrangement within this fascinating condensate (9/10).
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
These observations led us to hypothesize that sequential cleavage inhibition💊 (invert & push apart DFCs from GC) followed by transcription inhibition💊 (restore DFC-GC interface) could phenocopy the flower 🌸 morphology. This is indeed what we (and Deep-Phase) saw! (8/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
We then conduct mechanistic studies 🔎 to find that beyond its recognized role in resolving supercoiling, TOP1 is also involved in rRNA processing! Its inhibition causes rRNA cleavage defects and a drop in transcription of large ribosomal subunit precursors ❌🏭. (7/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
To test the utility of Deep-Phase, we conduct a small molecule screen and uncover a unique nucleolar morphology: the "flower" 🌸! This phenotype, where the DFC-GC interface is maintained but inverted, arises specifically upon DNA Topoisomerase I (TOP1) depletion. (6/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Not just nucleoli! We extend Deep-Phase to nuclear splicing speckles✂️ as well as RSV viral cytoplasmic factories🦠, showing that condensate morphology alterations are a quantitative fingerprint of the degree of RNA biochemistry disruptions within them. (5/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
In doing so, we measure dose-response curves from images and demonstrate that they match IC50 values from biochemical experiments: nucleolar morphology becomes a quantitative readout of potencies of drugs that alter ribosome biogenesis! 📉➡️📈 (4/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
We developed Deep-Phase, an automated imaging and deep neural network-based framework that accurately tracks these changes over treatment times⏲️and concentrations📶 directly from images (no hand-picked features) (3/10).
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Cells organize key processes in biomolecular condensates, such as the multiphase nucleolus where ribosomes are made 🏭. Due to its dynamic and compartmentalized nature, small molecule perturbations of this process💊 lead to fast and distinct morphology rearrangements🌀. (2/10)
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
I’m thrilled to share our preprint that uses deep learning to interrogate structure-function relationships in condensates! biorxiv.org/content/10.1... In here, we ask: can AI read condensate biology from pictures alone? Turns out yes... see what we discover below! 🤖🧬🖼️ (1/10)
biorxiv.org
Deep Learning of Functional Perturbations from Condensate Morphology
Biomolecular condensates compartmentalize the interior of living cells to spatiotemporally organize complex functions, yet linking molecular interactions within condensates to their mesoscale organiza...
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Ai Ing Lim and @kristantunes.bsky.social for a great help with the virus work, and Cliff @brangwynnelab.bsky.social for all the support and guidance!
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
To say that this took a village would be an understatement. I’m incredibly grateful to my collaborators in the @brangwynnelab.bsky.social : Troy Comi, @sofiquinodoz.bsky.social, @nima-jaberi.bsky.social , Lenny Wiesner and Lifei Jiang for their hard work and expertise, ...
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Anita Donlic @anitadonlic.bsky.social · 20/08/2025
🌟 Big picture 🌟 ✔️ Condensate morphology encodes function ✔️ Deep-Phase translates images into quantitative readouts of drug biochemical potency ✔️ Future applications: phenotypic screens, MoA studies, biomarkers, single-cell heterogeneity detection (10/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Integrating our discoveries, we came up with a new model for nucleolar phase boundary maintenance, in which both the abundance and processing state of rRNA📊 dictate the multiphase arrangement within this fascinating condensate. (9/10)
110
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
These observations led us to hypothesize that sequential cleavage inhibition💊 (invert & push apart DFCs from GC) followed by transcription inhibition💊 (restore DFC-GC interface) could phenocopy the flower 🌸 morphology. This is indeed what we (and Deep-Phase) saw! (8/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
We then conduct mechanistic studies 🔎 to find that beyond its recognized role in resolving supercoiling, TOP1 is also involved in rRNA processing! Its inhibition causes rRNA cleavage defects and a drop in transcription of large ribosomal subunit precursors ❌🏭. (7/10)
110
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
To test the utility of Deep-Phase, we conduct a small molecule screen to uncover a unique nucleolar morphology: the "flower" 🌸! This phenotype, where the DFC-GC interface is maintained but inverted, arises specifically upon DNA Topoisomerase I (TOP1) depletion. (6/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Not just nucleoli! We extend Deep-Phase to nuclear splicing speckles✂️ as well as RSV viral cytoplasmic factories🦠, showing that condensate morphology alterations are a quantitative fingerprint of the degree of RNA biochemistry disruptions within them. (5/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
In doing so, we measure dose-response curves from images and demonstrate that they match IC50 values from biochemical experiments: nucleolar morphology becomes a quantitative readout of potencies of drugs that alter ribosome biogenesis! 📉➡️📈 (4/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
We developed Deep-Phase, an automated imaging and deep neural network-based framework that accurately tracks these changes over treatment times⏲️ and concentrations📶 directly from images (no hand-picked features).(3/10)
100
Anita Donlic @anitadonlic.bsky.social · 20/08/2025
Cells organize key processes in biomolecular condensates, such as the multiphase nucleolus where ribosomes are made 🏭. Due to its dynamic and compartmentalized nature, small molecule perturbations of this process💊 lead to fast and distinct morphology rearrangements🌀. (2/10)
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