Top Tweets for #Deepvisualproteomics
#SpatialOmics #MyocardialInfarction
#MolecularCartography 100-gene + #SeqIF 12-marker + #DeepVisualProteomics
4/24/49/96 h postMI🐭
Endocardial vWF mediates Mɸ infiltr
Anti-vWF i.v. reduces Mɸ at endocardial, but not epicardial, core or border, zone, but causes infarct wall thinning + worsened cardiac adaptation by 2 wk
Cellpose 2 human-in-a-loop for CardioMyocyte segmentation
Ankrd1 pixel cluster to demarcate stressed/dying CM
Custom analysis pipeline
https://t.co/EtKZk9sUsT
@flowuenne @FloSicklinger @DenisSchapiro @NatureCVR 2025
https://t.co/4dSZK5ZLbh
#2: Using cell-type resolved #DeepVisualProteomics, we uncovered a gradual transformation from SBT to LGSC, via micropapillary tumors as a transition state—profiling up to 5,400 proteins from just ~200 cells per sample!
Scientists @labs_mann, at Pavel Strnad Lab @UniklinikAachen & at Alksander Krag Lab @OUHhospital have used spatial #DeepVisualProteomics to reveal how liver cells become sick in patients with the proteotoxic disease alpha-1 antitrypsin deficiency.
#AATD @FLASH_OUH @Nature
Nature Methods has chosen #SpatialProteomics as their Method of the Year! Harness IBEX & #DeepVisualProteomics to uncover protein organization in complex tissues. Elevate your research from cancer studies to global atlas projects. Learn more: https://t.co/tOhaJeBIL7 @Nature
Thrilled to see spatial proteomics as @NatureMethods Method of the Year 2024! As pioneers of Deep Visual Proteomics (DVP), we're excited to help map the spatial proteome at unprecedented depth #MethodOfTheYear #SpatialProteomics #DeepVisualProteomics
It was an absolute dream to help with this Method of the Year! SPATIAL PROTEOMICS gets a well-deserved spotlight! Thanks so much to all the authors who contributed their comments! @RongFan8 @BodenmillerLab @leeat_keren @labs_mann @DanielaQuail
"A new standard for understanding disease progression
at the single-cell level in human tissue."
Unraveling liver disease in Alpha1-antitrypsin deficiency with #DeepVisualProteomics. Another major step forward with spatial omics and #AI.
https://t.co/9werKZQBle @labs_mann @metaboflo
Explainer thread https://t.co/QModB8ZgGH
AATD affects thousands, causing liver & lung disease via protein aggregation. Our new preprint used #DeepVisualProteomics to study liver cells and reveals key AATD insights with clinical implications . Video and tweetorial @metaboflo #Alpha1Awareness
https://t.co/81egcO73Sv
AATD affects thousands, causing liver & lung disease via protein aggregation. Our new preprint used #DeepVisualProteomics to study liver cells and reveals key AATD insights with clinical implications . Video and tweetorial @metaboflo #Alpha1Awareness
https://t.co/81egcO73Sv
Exciting news! Our pioneering research in #SpatialMedicine, specifically #DVP for TEN, featured by Eric Topol. This work showcases AI's potential to transform patient care. Thank you, Eric!
#DeepVisualProteomics #SpatialProteomics #SpatialMedicine
The Dawn of Spatial Medicine
Until now, spatial omics was used to understand human biology. That changed when it saved lives of patients with a fatal skin condition.
In the new Ground Truths, pioneering work by @labs_mann @NordmannThierry @MPI_Biochem and an international consortium
Link in my profile
One patient, four organs, many insights: We applied Deep Visual Proteomics to track protein changes in Signet Ring Cell Carcinoma. This spatial analysis could pave the way for more targeted therapies in rare tumors #PrecisionOncology #DeepVisualProteomics
https://t.co/xRYCzyJfwF
The @LeicaMicro team is ready to meet you at #AACR2024! We are presenting our #spatialbiology and #deepvisualproteomics solutions. Please stop by Booth 1910 to learn more! #CellDIVE #LaserMicrodissection #Aivia
We're seeking passionate individuals to join our expanding team across four roles. If our mission resonates with you, consider applying :
https://t.co/wiV98VBTV8
https://t.co/cKlThPkxLd
https://t.co/WKC0ouNTYn
https://t.co/LY9fyituRU
#DeepVisualProteomics
Nine patients are diagnosed with an increased colorectal carcinoma (CRC) risk, but only three of them develop CRC. Here we used #DeepVisualProteomics to identify new markers to potentially support the diagnosis of CRC. Read more:
https://t.co/eipRnEslZN
#Proteomics #Oncology
Single-Cell #DeepVisualProteomics
#scDVP
LCM-Mass spec-#SpatialProteomics
Cryosection 10 µm🐭Liver
➡️Single-Cell Shape
➡️250 pg protein
400 Hepatocyte+6 #EndothelialCell samples
Exploring novel zonated pathways
@metaboflo @labs_mann @naturemethods 2023
https://t.co/COiswC5vLy
Wondering about the spatial #proteome of individual cells along gradients? We are releasing scDVP, single-cell #DeepVisualProteomics in intact tissue-context for the first time! Congrats @metaboflo and all!
https://t.co/WYv0fVsMgw
https://t.co/SqDZAOoP65
Two neighboring cells can be so different! Releasing scDVP - single-cell #DeepVisualProteomics for combined imaging and mass spectrometry-based proteomics in the intact tissue context. One cell at a time. https://t.co/9X1pZnPZjF @naturemethods Here’s a summary! (1/n)
Building on the powerful #DeepVisualProteomics workflow, we now isolate single hepatocyte shapes one at a time from frozen mouse liver sections. One shape is one third to one half of a sliced hepatocyte in volume, or ~250pg protein mass. (2/n)
Two neighboring cells can be so different! Releasing scDVP - single-cell #DeepVisualProteomics for combined imaging and mass spectrometry-based proteomics in the intact tissue context. One cell at a time. https://t.co/9X1pZnPZjF @naturemethods Here’s a summary! (1/n)
Researchers led by Matthias Mann have further developed #DeepVisualProteomics, to be able to analyze the #proteome of single-cells with their precise location on intact tissue
❕https://t.co/2LAusYl16J
❕https://t.co/4qx4RZ95kO
#paperalert @naturemethods @labs_mann @metaboflo
Prof. @Prof_Lundberg sharing the realm of deep visual proteomics, multiplexed protein imaging and multi-scale proteome modelling at @SCP_meeting
#singlecellproteomics
#deepvisualproteomics
#AI #machinelearning
New method revolutionizes cancer diagnosis Max Planck Society
#cancer #Deepvisualproteomics #proteomics
#Health #cancer #Deepvisualproteomics #proteomics
https://t.co/GwERWbztAP
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