Multi-organelle signatures map cell-state diversity and metabolic adaptation in tissues | Science www.science.org/doi/10.1126/...
Multi-organelle signatures map cell-state diversity and metabolic adaptation in tissues
Cell-state diversity drives tissue adaptability, repair, and disease resilience, but capturing this complexity is a challenge. Current approaches rely on transcriptional profiling and overlook organel...
science.org
Under the hood of cells, scientists find clues to how tissues adapt to diet and disease | EurekAlert! www.eurekalert.org/news-release...
Under the hood of cells, scientists find clues to how tissues adapt to diet and disease
A team led by HHMI Janelia Research Campus Fellow Daniel Feliciano developed a new, cost-effective technique that uses information about the structures inside cells to reveal the condition of tissues ...
eurekalert.org
Scientists just discovered new "controllers" of the brain's most elite security checkpoint. Jiefu Li & team at our Janelia Research Campus have ID'd proteins that help open & close the blood-brain barrier — a step toward treating Alzheimer's, Parkinson's, & more: hhmi.news/4mkrDT2.
sOrganellomics is a new strategy to map cell state diversity and functional cell changes across healthy and diseased tissues! Check out the latest version now on BioRxiv - Congratulations @feliciano-lab.bsky.social !!
biorxiv.org
Really happy to see this beautiful story out! Looking forward to more collaborations like this @cristinapujades.bsky.social lab! www.biorxiv.org/content/10.1...
Multimodal cell lineage reconstruction in the hindbrain reveals a link between progenitor origin and activity patterning
The vertebrate brain develops through a precisely orchestrated sequence of events, where neural progenitors generate neuronal diversity. However, the importance of stem cell origin in the acquisition ...
biorxiv.org
📢 Submissions are now open for the CellMap Segmentation Challenge. Build the best method for segmenting cellular organelles in vEM using our 289 annotated volumes, 40 organelle classes, and 22 diverse cell and tissue types. 🔗 hhmi.news/410evJQ
🔬 The Shroff Lab & collaborators have developed a new AI method that produces sharp microscopy images throughout a thick biological sample without using adaptive optics, adding additional hardware, or taking more images. 🔗 https://hhmi.news/3DLUEF8
🦠A team led by the Lippincott-Schwartz Lab used a new technique developed at Janelia called high-resolution template matching, or HRTM, to uncover in unprecedented detail the movement of ribosomes – the molecular structures that synthesize proteins inside cells. 🔗 hhmi.news/401LKMq
We are looking for exceptional #AIScientist|s to join our #AI@HHMI initiative at #HHMIJanelia. We want to uncover fundamental principles underlying complex biological systems that are inaccessible without new innovations that combine #AI with experimental design. ai.hhmi.org#join-our-team 1/4
I am happy to see our first manuscript already in bioRxiv! This collaborative work present a strategy to image and extract single-cell organelle signatures in tissues. Shout-out to all the authors! www.biorxiv.org/content/10.1...
Spatial single-cell Organellomics reveals nutrient dependent hepatocyte heterogeneity and predicts pathophysiological status in vivo
Cellular heterogeneity within complex tissues and organs is essential to coordinate biological processes across biological scales. The effect of local cues and tissue microenvironments on cell heterog...
biorxiv.org