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Single cell biotechnology lab

bioimaging, biodynamics and biocomputation

Coskun Lab at Georgia Tech BME & Emory

Imaging one cell at a time for spatial context

We are multi-disciplinary researchers interested in photons, ions, and electrons and their interactions with cells. Using large-scale experiments and computational analysis, we address fundamental challenges in infections, cancers, and immunology.
      In a nutshell, we create image-based ‘omic technologies to reveal spatial nature of biological systems. We benefit from enabler tools: Super-resolution bioimaging, barcoded biochemical reagents, advanced algorithms and automated microfludics. Topical interests include Spatial Biology. Our lab is currently funded by NIH K25, BWF CASI, Georgia Tech & Emory..
      Translation of our spatial data to clinics enables precision medicine with biomarker discovery and patient-specific therapies. Pediatric diseases, immune dysregulation, and cancers leverage our quantitative spatial mapping solutions.

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Super-resolved 3D Subcellular Tomogram of a Single B Cell Lymphoblast
(Blue: Chromatin, Magenta: Transcription, Green: Replication)

NEWS

[August, 2019] Lab starts at Georgia Tech & Emory Medicine

We are hiring prospective students, postdoctoral scholars, and technical assistants.
Prospective candidates should email their resume and interests to "ahmet.coskun@bme.gatech.edu"

[July, 2019] Young Scholar Interview with Ahmet Coskun

What do you consider important to your success?
Tell us about any skills or habits that you think helped you to become a successful scholar at such a young age.
Positive thinking is key. Research is demanding. We try new things that nobody else tried before. We obtain either good or bad outcome in our work. In any case, a lesson is to be learned. Team-work is productive. Others provide complementary experience. Researchers should always be open to share ideas. Random opportunities, a coffee-break discussion and an elevator-chat, give inspirations and solutions. Systematic progress is enabler. Goals are better achieved with divide-and-conquer strategy.

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Technologies for Spatial Bioengineering

Image-based interrogation of molecular distributions have been widely used in biology, but with limited number of markers due to the color limitations of the microscopes. However, cellular decisions are guided by interactions of at least 20,000 protein-coding genes and their downstream and upstream protein factors. This large number of molecular maps has been studied by single-cell RNA sequencing or mass spectrometer, but the spatial details of positions of cells in complex tissues have been lost during the measurements.

Our research team aims to bridge this gap by developing multiplex image barcoding to visualize and quantify many transcripts, proteins, and metabolites at the molecular scale.

Our team develops purpose-driven multiplex bioimaging technologies that can visualize two/three-dimensional (2D/3D) spatial heterogeneity of biological systems at the single cell and subcellular level.