An upgrade to U-M developed tech enables researchers to see even finer transcription detail inside cells

Seq-Scope technology has now been expanded with improved resolution

10:38 AM

Author | Kelly Malcom

colorful yellow green red purple blue orange close up sequence
Photo from Jun Hee Lee's lab.

In 2021, a technology developed at University of Michigan, called Seq-Scope, revolutionized the ability to map gene activity within intact tissue at microscopic resolution, enabling researchers to measure all expressed mRNA molecules and determine precisely where they are located within the tissue, using an Illumina sequencer machine.

The team behind the Seq-Scope method, led by Jun Hee Lee, Ph.D., has recently taken the technology even further.

Their findings are described in Nature Communications.

“We wondered what we might see if we had even better resolution,” said Lee, Professor of Molecular & Integrative Physiology at U-M Medical School.

“But we realized that that is actually physically impossible.”

Why?

Preparing a tissue slide to be read by an Illumina sequencer involves diffusing molecules from the tissue to the array that is ultimately read by the sequencer.

That diffusion is limited to around a micron.

To get beyond this barrier, Lee’s team made the tissues in question proportionately larger, by embedding the tissues in hydrogel then infusing them with water so that they grow.

The expansion strategy was first conceived by Lee’s graduate student Angelo Anacleto, who incorporated chemical tissue expansion methods into Seq-Scope in collaboration with Hee-Sun Han, Ph.D., Professor of Chemistry at the University of Illinois Urbana-Champaign.

“We made the tissue bigger and then analyzed it the using our SeqScope methodology,” explained Lee.

“And we were able to show that it is indeed a precisely and accurately captures the transcriptome from the tissue.”

Using their aptly named Seq-Scope-eXpanded, or Seq-Scope-X, method allowed them to see with even greater resolution the delineation between cells and even the transcripts of different structures within cells, like the nucleus and cytoplasm.

Computational methods developed by Hyun Min Kang, Ph.D., Professor of Biostatistics at U-M School of Public Health, enabled the team to identify differences between mRNAs transcribed in the nucleus vs. the cytoplasm in liver cells.

Lee says the tool could be used to make discoveries that weren’t possible using previous methods.

“We have kind of pushed the that limit by another order of magnitude so we can get richer information. This technology is really moving fast, with resolution improving roughly four-fold each year for nearly a decade. We are glad that University of Michigan is at the major inflection point.”

Additional authors: Additional authors include Weiqiu Cheng, Qianlu Feng, Anna Park, Chun-Seok Cho, Yongha Hwang, Yongsung Kim, Yichen Si, Jer-En Hsu, Qingyang Zhao, Xiaoya Zhao, Daniel Kim, Mitchell Schrank, Alex William Schrader, Seokjin Yeo, Rosane Teles, Robert L. Modlin, Olesya Plazyo, Johann E. Gudjonsson, Myungjin Kim, and Chang H. Kim.

Michigan Research Core(s): U-M Advanced Genomics Core

Tech transfer(s)/Conflict(s) of interest:  Jun Hee Lee is an inventor on an existing and pending patent applications related to Seq-Scope.

Paper cited: “Seq-Scope-eXpanded: spatial omics beyond optical resolution,” Nature Communications. DOI: 10.1038/s41467-026-69346-8

Sign up for Health Lab newsletters today. Get medical tips from top experts and learn about new scientific discoveries every week.

Sign up for the Health Lab Podcast. Add us wherever you listen to your favorite shows.  


More Articles About:

Basic Science and Laboratory Research Emerging Technologies technology molecular and integrative physiology
Health Lab word mark overlaying blue cells

Health Lab

Explore thousands of health news & research stories by visiting the Health Lab homepage for more.

Media Contact

University Hospital at U-M Health in the spring with flowering trees in foreground and Survival Flight helicopter visible

Public Relations

Department of Communication at Michigan Medicine

[email protected]

734-764-2220

In This Story

Jun Hee H. Lee

Jun Hee H Lee

Professor

Stay Informed

Want top health & research news weekly? Sign up for Health Lab’s newsletters today!

Subscribe

Featured News & Stories

Purple shaded illustration of doctor listening to heart of patient on a bed
Health Lab

The AI is listening: Implications of machine generated clinical notes on health care

Michigan Medicine experts argue that use of artificial intelligent scribes during health care visits should be more carefully examined .
Minding memory above a microphone on a blue background
Minding Memory

Can Your Voice Reveal Early Signs of Alzheimer’s?

In this episode, Lauren & Matt speak with Neguine Rezaii, MD, an Assistant Professor of Neurology at Harvard Medical School and a Board-Certified Neuropsychiatrist at Mass General Hospital. Dr. Rezaii’s research focuses on using natural language processing and artificial intelligence to improve the detection and classification of neurodegenerative disorders. Dr. Rezaii talks about her recent study, “Voiceprints of Cognitive Impairment: Analyzing Digital Voice for Early Detection of Alzheimer’s and Related Dementias,” which explores how artificial intelligence can analyze short speech samples to identify subtle signs of cognitive impairment. The study used speech recordings from 120 individuals and found that features such as pauses, word choice and the specificity of language can help distinguish cognitive impairment and Alzheimer’s disease. The conversation also explores how a simple 30-second speech test could potentially be used in clinical settings to support earlier detection and monitoring of cognitive impairment, as well as the challenges and ethical considerations that come with using AI to analyze something as personal as a person’s voice.
Father comforts sick child
News Release

15 years of data will help uncover how flu spreads—and how to reduce its impact

$14.2-million NIH award to University of Michigan funds research to untangle intricacies of person-to-person flu transmission—and reduce illness, deaths, economic losses
Michelle Hastings, Ph.D. and lab member look at molecule on computer screen.
News Release

$3.9 million NIH grant to fuel U-M effort to develop first targeted therapy for fatal childhood brain disorder

A team led by Dr. Michelle Hastings will advance a new RNA-based medicine for the most common form of CLN3 Batten disease toward clinical trials
Two people in medical scrubs are in a blurred hospital setting. In the foreground, hands are holding a digital tablet.
Health Lab

Digital alerts support timely treatment decisions of critically ill cardiac patients

Well-designed alerts for critically ill cardiac patients can change what happens at the bedside, according to new Michigan Medicine research.
A stylized digital image of an X-ray of a human skeleton superimposed on a strand of DNA
Health Lab

Bigger data reveals the second, third and fourth switches controlling a gene

A University of Michigan study reveals the untapped potential of the NIH-sponsored Trans-Omics for Precision Medicine, or TOPMed, program.