A simpler, cheaper way to read the genetic secrets of single cells

Summary

Every cell in a living organism carries the same DNA, but they perform wildly different jobs because they follow different genetic instructions. To truly understand how specific cells work, scientists need to monitor two things at once. They must track which genes are actively turned on, measured through a technique called RNA-seq, and how physically open or accessible the tightly packed DNA is, measured via ATAC-seq. Running both of these measurements simultaneously in a single cell has traditionally been a complex hurdle.

Now, researchers have introduced a streamlined protocol called easySHARE-seq to clear that hurdle. The new tool allows scientists to simultaneously measure both gene expression and chromatin accessibility within individual cells. By improving upon older techniques, easySHARE-seq manages to capture over 1.5 times more genetic transcripts per cell than comparable methods.

The updated protocol also captures longer stretches of genetic code. It extends the usable sequence length to 300 base pairs, a massive 200 base pair increase over previous iterations. This extra length helps researchers spot tiny genetic variations and analyze signals specific to certain genetic alleles. Better yet, the process cuts costs by eliminating the need for a dedicated sequencing run.

Why it matters.

For the biotechnology sector and genetic researchers, easySHARE-seq provides a highly scalable and cost-efficient tool to decode the inner workings of cells. Cheaper, more detailed cellular profiling could accelerate the discovery of new drug targets by helping researchers map out precisely how diseases manipulate our regulatory genes.

That said, the research comes with an important caveat. The current validation relies on an early-stage proof of concept that analyzed 19,664 cell nuclei specifically from mouse livers. Before this technology can be widely adopted for human medicine, researchers will need to conduct further validation to confirm its accuracy and applicability across diverse human tissues and clinical studies.

From the source

The story in numbers.

Murine liver nuclei profiled: 19,664
Usable sequence length: 300bp
Increase in transcripts recovered per cell: >1.5 fold

Keep the context

Follow the evidence.

This source is a preprint and has not completed peer review. Its findings are provisional.

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Follow your curiosity.

A simpler, cheaper way to read the genetic secrets of single cells

Summary

Why it matters.

The story in numbers.

Follow the evidence.

Your next discovery.

Swapping RNA for DNA gives CRISPR a powerful new target

Blood Immune Cells May Drive Spinal Cord Damage in ALS

A Domino Effect: How the Immune System Accelerates ALS

Summary

Why it matters.

The story in numbers.

Follow the evidence.

Your next discovery.

Swapping RNA for DNA gives CRISPR a powerful new target

Blood Immune Cells May Drive Spinal Cord Damage in ALS

A Domino Effect: How the Immune System Accelerates ALS

A little science goes a long way.