Helmholtz Zentrum München

Published on

November 28, 2025

NOMIS Researcher

Ali Ertürk

Published in

Transgenic Research

A novel tamoxifen-inducible Mct8-CreERT2 mouse model for targeted studies of Mct8-expressing cells and thyroid hormone transport and function

Deficiency of the Monocarboxylate Transporter 8 (MCT8) severely impairs thyroid hormone (TH) transport into the brain, disrupting brain development as well as peripheral TH homeostasis. Studies assessing MCT8 expression patterns and tissue-specific pathologies induced by local TH-deficiency are often inconclusive due to unreliable antibody staining and the lack of functional tools to specifically target MCT8-expressing cells. For this purpose, we generated non-inducible Mct8-Cre and tamoxifen-inducible Mct8-CreERT2 mice. Mct8-Cre;Sun1-sfGFP mice demonstrated ubiquitous Sun1-sfGFP expression, due to early recombination driven by Mct8 gene expression at the stage of trophoblast implantation. Tamoxifen injection in 6-week-old Mct8-CreERT2 mice induced reporter expression specifically in Mct8-expressing cells in the brain and peripherally in liver, kidney, and thyroid, without leaky reporter expression in vehicle controls. Using vDISCO tissue clearing and 3D-imaging of GFP-nanobody-boosted mice, we further identified the sublingual salivary gland and the prostate as prominent Mct8-expressing organs. Nuclei from Mct8-expressing cells in the brain could selectively be enriched using fluorescence-activated nuclei sorting on Mct8-CreERT2;Sun1-sfGFP mice and characterized as choroid plexus cells and tanycytes. Our new inducible Mct8-CreERT2 line provides researchers with a tool to reliably mark, enrich, and characterize Mct8-expressing cells and to genetically modify genes specifically in these cells to study thyroid hormone transport and function.

Research Fields

Biomedical Research, Developmental Biology, Genetics & Heredity, Health Sciences

To the Publication

Published on

January 14, 2025

NOMIS Researcher

Ali Ertürk

Published in

Nature Biotechnology

Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning

Efficient and accurate nanocarrier development for targeted drug delivery is hindered by a lack of methods to analyze its cell-level biodistribution across whole organisms. Here we present Single Cell Precision Nanocarrier Identification (SCP-Nano), an integrated experimental and deep learning pipeline to comprehensively quantify the targeting of nanocarriers throughout the whole mouse body at single-cell resolution. SCP-Nano reveals the tissue distribution patterns of lipid nanoparticles (LNPs) after different injection routes at doses as low as 0.0005 mg kg−1—far below the detection limits of conventional whole body imaging techniques. We demonstrate that intramuscularly injected LNPs carrying SARS-CoV-2 spike mRNA reach heart tissue, leading to proteome changes, suggesting immune activation and blood vessel damage. SCP-Nano generalizes to various types of nanocarriers, including liposomes, polyplexes, DNA origami and adeno-associated viruses (AAVs), revealing that an AAV2 variant transduces adipocytes throughout the body. SCP-Nano enables comprehensive three-dimensional mapping of nanocarrier distribution throughout mouse bodies with high sensitivity and should accelerate the development of precise and safe nanocarrier-based therapeutics.

Research Fields

Applied Sciences, Biomedical Engineering, Enabling & Strategic Technologies, Engineering, Nanoscience & Nanotechnology

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Published on

December 11, 2024

NOMIS Researcher

Ali Ertürk

Published in

Cell Host and Microbe

Persistence of spike protein at the skull-meninges-brain axis may contribute to the neurological sequelae of COVID-19

SARS-CoV-2 infection is associated with long-lasting neurological symptoms, although the underlying mechanisms remain unclear. Using optical clearing and imaging, we observed the accumulation of SARS-CoV-2 spike protein in the skull-meninges-brain axis of human COVID-19 patients, persisting long after viral clearance. Further, biomarkers of neurodegeneration were elevated in the cerebrospinal fluid from long COVID patients, and proteomic analysis of human skull, meninges, and brain samples revealed dysregulated inflammatory pathways and neurodegeneration-associated changes. Similar distribution patterns of the spike protein were observed in SARS-CoV-2-infected mice. Injection of spike protein alone was sufficient to induce neuroinflammation, proteome changes in the skull-meninges-brain axis, anxiety-like behavior, and exacerbated outcomes in mouse models of stroke and traumatic brain injury. Vaccination reduced but did not eliminate spike protein accumulation after infection in mice. Our findings suggest persistent spike protein at the brain borders may contribute to lasting neurological sequelae of COVID-19.

Research Fields

Biology, Biomedical Research, Clinical Medicine, Health Sciences, Immunology, Molecular Biology, Natural Sciences, Virology

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Published on

July 12, 2024

NOMIS Researcher

Ali Ertürk

Published in

Nature Methods

Deep 3D histology powered by tissue clearing, omics and AI

To comprehensively understand tissue and organism physiology and pathophysiology, it is essential to create complete three-dimensional (3D) cellular maps. These maps require structural data, such as the 3D configuration and positioning of tissues and cells, and molecular data on the constitution of each cell, spanning from the DNA sequence to protein expression. While single-cell transcriptomics is illuminating the cellular and molecular diversity across species and tissues, the 3D spatial context of these molecular data is often overlooked. Here, I discuss emerging 3D tissue histology techniques that add the missing third spatial dimension to biomedical research. Through innovations in tissue-clearing chemistry, labeling and volumetric imaging that enhance 3D reconstructions and their synergy with molecular techniques, these technologies will provide detailed blueprints of entire organs or organisms at the cellular level. Machine learning, especially deep learning, will be essential for extracting meaningful insights from the vast data. Further development of integrated structural, molecular and computational methods will unlock the full potential of next-generation 3D histology.

Research Fields

Biochemistry & Molecular Biology, Chemistry

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Published on

December 22, 2022

NOMIS Researcher

Ali Ertürk

Published in

Cell

Spatial proteomics in three-dimensional intact specimens

Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. However, methods for molecular analysis of large biological specimens imaged in 3D are lacking. Here, we present DISCO-MS, a technology that combines whole-organ/whole-organism clearing and imaging, deep-learning-based image analysis, robotic tissue extraction, and ultra-high-sensitivity mass spectrometry. DISCO-MS yielded proteome data indistinguishable from uncleared samples in both rodent and human tissues. We used DISCO-MS to investigate microglia activation along axonal tracts after brain injury and characterized early- and late-stage individual amyloid-beta plaques in a mouse model of Alzheimer’s disease. DISCO-bot robotic sample extraction enabled us to study the regional heterogeneity of immune cells in intact mouse bodies and aortic plaques in a complete human heart. DISCO-MS enables unbiased proteome analysis of preclinical and clinical tissues after unbiased imaging of entire specimens in 3D, identifying diagnostic and therapeutic opportunities for complex diseases. Video abstract: [Figure presented]

Research Fields

Biomedical Research, Developmental Biology, Health Sciences

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5 of 5 Publications