Human (animal) cell under microscope. 3d illustration

Zooming in Reveals a World of Detail: New Method Unveils the Inner Workings of Our Cells

New Research Findings Computational Health ICB

Fabian Theis and Danish colleagues have found a better understanding of how blood cell differentiation from stem cells happens, and further studies might give us an answer to why some cells turn against us and become a health issue.

DNA is the blueprint which gives our cells instructions, but all of our cells have the same set of instructions, so to understand how cells behave differently we need to look at each one more deeply and explore which of the thousands of genetic instructions are turned off and on at any time.

In recent years researchers have studied gene expression by sequencing molecules inside the cells called mRNA, but this is the copy paper that the genetic instructions are written onto, and not the proteins which are built from those instructions. Now, scientists at Helmholtz Munich, the Finsen Laboratory at Rigshospitalet, the Biotech Research and Innovation Centre (University of Copenhagen), and the Technical University of Denmark have used a method which looks at the unique combination of proteins being built in each cell at any given moment in its development.

Single-Cell Proteomic Analysis

This so-called single-cell proteomic analysis means bypassing the mRNA intermediates and building a map of the proteins present in each cell during their differentiation from stem cells into mature blood cells. Looking at each cell means that you can find outliers which would otherwise be lost in the average of the sample.

“By integrating RNA and protein measurements into a dynamic model, we can capture the full life cycle of gene expression in single cells. This helps us understand not just what’s written in the genetic script, but how it’s performed in real time. I’m excited about how these cell-resolved protein readouts are increasingly opening entirely new windows into cell biology” says Fabian Theis, Director at the Computational Health Center at Helmholtz Munich.

Learn more about this study in this article from the University of Copenhagen

 

Original Publication

Furtwängler et al., 2025: Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics. Science. DOI: 10.1126/science.adr8785

Fabian Theis
Prof. Dr. Dr. Fabian Theis

Director of Computational Health Center, Director of Institute for Computational Biology

View profile

Related news

HMGU_Icon_Computat_Health

Featured Publication, Computational Health, ICB,

Investigating a Fundamental Biological Process in Vaccinated Individuals

When immune system killer cells detect signs of infection, some of them rapidly multiply, forming a large defensive force to fight the pathogen. However, this response does not occur in every killer cell. What determines whether a cell will…

Digital brain interface

AI, New Research Findings, Computational Health, HCA,

KI denkt wie wir – und könnte unser Denken besser erklären

Forschende von Helmholtz Munich haben eine Künstliche Intelligenz entwickelt, die menschliches Verhalten erstaunlich präzise simuliert. Das Sprachmodell „Centaur“ wurde auf Basis von mehr als zehn Millionen Entscheidungen aus psychologischen…

A hexagonal grid of digital connections, representing the global network and data transfer in artificial intelligence. AdobeStock_1334177573

AI, New Research Findings, Environmental Health, LHI, Computational Health, ICB,

Open Problems: Zellkomplexität mit kollektiver Intelligenz entschlüsseln

Forschende aus mehr als 50 internationalen Institutionen haben Open Problems (https://openproblems.bio) ins Leben gerufen – eine kollaborative Open-Source-Plattform, die den Vergleich, die Weiterentwicklung und die Durchführung von Wettbewerben für…

Northwestern University Partnership

AI, Computational Health, AIH,

Helmholtz Munich und Northwestern University kooperieren für den Einsatz von Machine Learning in der Gesundheitsforschung

Helmholtz Munich hat eine Absichtserklärung mit der Feinberg School of Medicine der Northwestern University (Chicago, USA) unterzeichnet – einer der forschungsstärksten medizinischen Fakultäten der USA. Ziel der Kooperation ist es, den Einsatz von…

Abstract illustration of targeting cancer cell made of glowing neon particles. Blue geometric background depicting cancer cell screening and disease treatment medical concept

AI, Computational Health, ICB,

Cancer Plasticity Atlas soll helfen, Krebstherapien zu verbessern

Helmholtz Munich, das Wellcome Sanger Institute und Parse Biosciences arbeiten gemeinsam an einem Einzelzell-Atlas, der die Plastizität von Krebszellen sowie deren Reaktion auf Therapien erforscht. Die Initiative ist der erste Schritt hin zu einem…