A group of researchers from NUS Institute for Well being Innovation & Expertise (iHealthtech), led by Affiliate Professor Shao Huilin and Affiliate Professor Brian Lim, has developed a first-of-its-kind expertise to map out numerous protein interactions in cells utilizing DNA barcodes.
The expertise, dubbed TETRIS, can explicitly establish and quantify a number of interacting companions in giant protein assemblies. By capturing the complicated hierarchy of protein interactions inside tumor cells, the expertise uncovers detailed molecular mechanisms driving illness development. This permits extra exact diagnostics, permitting for the correct sub-typing of cancers and the identification of aggressive types of the illness in just some hours, which was not potential beforehand.
Additional, TETRIS supplies important insights from which medical doctors can tailor therapeutic methods to particular person sufferers. As an illustration, figuring out the precise proteins and their interactions that contribute to most cancers development can result in focused therapies that enhance affected person outcomes.
The group’s findings have been printed in Nature Biomedical Engineering on 19 June 2024. The primary authors of the examine are Dr. Liu Yu and Dr. Noah Sundah. Each are analysis fellows from NUS iHealthtech.
Unmasking insidious most cancers cells
Proteins are liable for practically all fundamental processes of life. Understanding how these constructing blocks of life work together with each other is a vital aspect of biology and medication.
Certainly, proteins work together extensively with each other to drive essential features and actions in well being and illness—deciphering these interactions can’t solely result in higher predictions of cell habits, but in addition have wide-ranging medical purposes, from improved illness diagnostics to growing simpler therapeutic methods.
Present strategies for learning these interactions, nevertheless, have limitations resembling false outcomes and incomplete profiling of protein interactions, amongst others.
The gold-standard method—yeast-two hybrid assays—requires genetic manipulation and is proscribed to pairwise binary interactions, rendering it unsuitable for medical samples. One other widespread technique—mass spectrometry-based proteomics—usually misses weak interactions resulting from intensive pattern processing and stays binary in its analysis.
All in all, these strategies fall in need of capturing the complete spectrum of protein interactions, notably the higher-order ones the place a number of proteins work together to type giant useful assemblies; modifications in higher-order protein interactions are sometimes linked to extra aggressive sorts of most cancers.
The NUS researchers turned to DNA nanotechnology for an answer.
“DNA is a programmable material and can be used to encode rich information while having predictable interactions, which enables us to craft sophisticated architectures with fine spatial control at the nanometer scale,” mentioned Assoc Prof Shao, who led the design of TETRIS. She can also be from the Division of Biomedical Engineering beneath the Faculty of Design and Engineering at NUS.
Harnessing some great benefits of DNA nanotechnology, TETRIS leverages hybrid molecular constructions as sensible encoders to map protein interactions immediately in affected person samples. Every encoder carries a target-recognizing antibody and a template DNA barcode.
In motion, the encoders not solely bind to interacting proteins, but in addition have their barcodes fused bilaterally with that of their neighboring models. The resultant barcodes thus seize all info—molecular identification and spatial relationship—and can be utilized to decode intensive protein interactions.
Not like present strategies, TETRIS measures each pairwise and higher-order protein interactions, thereby offering a complete image of the complicated protein interactome.
“Think of proteins as delegates at a scientific conference. Each delegate spots a name tag with a unique barcode. When they interact, or ‘shake hands,’ TETRIS captures these interactions by linking their barcodes together,” mentioned Assoc Prof Lim, who led the event of algorithms used to course of the information collected by TETRIS.
“This creates a chain of interactions that we can subsequently read and decode via algorithms. Just like seeing who is chatting to whom at the conference, TETRIS enables us to see how proteins interact within cells, providing us with a lens through which we can understand and diagnose diseases more effectively.”
Assoc Prof Lim can also be from the Division of Laptop Science beneath the NUS Faculty of Computing.
A standout function of TETRIS lies in its capability to carry out on-site encoding and decoding of protein interactions immediately in medical samples. The expertise has been examined on biopsies of human breast most cancers tissues, from which it precisely identified most cancers subtypes and revealed higher-order protein interactions related to most cancers aggressiveness.
Reworking the way forward for well being care
TETRIS supplies a extra detailed and correct image of the molecular underpinnings of illnesses—a boon for most cancers diagnostics and coverings. Modifications in higher-order protein interactions, that are hallmarks of aggressive cancers, may be extra simply detected, thus resulting in extra knowledgeable, personalised medical choices.
Moreover, TETRIS is designed with scalability and adaptableness in thoughts. The expertise can course of a lot of samples and generate outcomes rapidly utilizing present laboratory infrastructure—permitting it to be built-in into routine medical workflows with minimal disruption.
As an illustration, the expertise can be utilized in a health care provider’s workplace, the place samples obtained through fine-needle aspiration—a safer and minimally-invasive biopsy—may be quickly analyzed to tell therapy choices.
The NUS researchers plan to broaden the applying of TETRIS to different sorts of cancers and neurological illnesses, doubtlessly paving the way in which for novel diagnostic instruments and therapeutic interventions throughout a broad spectrum of diseases.
The group has filed two patents for the expertise and hopes to commercialize the innovation.
Extra info:
Yu Liu et al, Bidirectional linkage of DNA barcodes for the multiplexed mapping of higher-order protein interactions in cells, Nature Biomedical Engineering (2024). DOI: 10.1038/s41551-024-01225-3
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