Prof. Dr. Ali Ertürk

Primary research focus: Cellular & Systems Neuroscience

Second research focus: Theoretical Neuroscience & Technical Applications

Third research focus: Biomedical Neuroscience

Keywords: Tissue clearing, Spatial-omics, Imaging, Organoids, Neurodegeneration, Cancer, Nanotechnology, Delivery

Brief research description: At the Ertürk Lab, we are pioneering the integration of cutting-edge tissue clearing technologies, multi-omics approaches, and artificial intelligence to revolutionize biomedical research and drug discovery. Our mission is to develop innovative tools and methods that enable the comprehensive mapping and understanding of complex biological systems at unprecedented resolution and scale. By combining state-of-the-art tissue clearing techniques, such as DISCO and SHANEL, with advanced imaging modalities and AI-powered analysis pipelines, we are pushing the boundaries of what is possible in visualizing and interrogating intact organs and entire organisms. Our lab is at the forefront of creating AI-driven discovery platforms that accelerate target identification, drug screening, and preclinical testing, ultimately paving the way for more effective and personalized therapies. We are passionate about harnessing the power of interdisciplinary research and fostering collaborations to tackle the most pressing challenges in biology and medicine. If you are a talented and ambitious scientist who shares our vision of transforming healthcare through the synergy of cutting-edge experimental technologies and artificial intelligence, we invite you to join our team and contribute to the future of biomedical innovation.

Graduated: Dr. Chenchen Pan, Dr. Ruiyao Cai, Dr. Mihail Todorov, Dr. Ilgin Kolabas

Selected publications:

Bhatia...Ertürk A. Spatial proteomics in optically cleared pre-clinical & clinical specimens, Cell (in press) (cover)

Cai M…Ertürk A. Cellular level whole mouse imaging with vDISCO…Nat. Protocols (in press)

Kolobas I…Ertürk A. Multi-omics and 3D-imaging reveal bone heterogeneity…(bioRxiv)

Mai…Ertürk A. Scalable SHANEL Tissue Labelling and Clearing…Nat. Protocols (Oct 2022)

Todorov M…Ertürk A. Machine learning analysis of whole mouse brain vasculature. Nature Methods, Apr. 2020

Zhao S…Ertürk A. Cellular and Molecular Probing of Intact Human Organs. Cell, Feb. 2020 (video)

Pan C…Ertürk A. Deep learning reveals cancer metastasis & therapeutic antibody… Cell, Dec. 2019 (cover) (video)

Cai R…Ertürk A. Panoptic imaging of transparent mice reveals… Nature Neuroscience, Feb. 2019 (cover)