Evidence map›Paper›PMID 39704725›Full record

ReviewACS nano2025

Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.

Ruixuan Wang, Waylon J Hastings, Julian G Saliba, Duran Bao, Yuanyu Huang, Sudipa Maity, Omar Mustafa Kamal Ahmad, Logan Hu, Shengyu Wang, Jia Fan and 1 more

Abstract readReview
In one paragraph

Review in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ruixuan WangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0009-0003-8474-2633
Waylon J HastingsDepartment of Psychiatry and Behavioral Science, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0003-0875-2568
Julian G SalibaCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Duran BaoCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Yuanyu HuangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Sudipa MaityCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Omar Mustafa Kamal AhmadCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0002-0404-679X
Logan HuGroton School, 282 Farmers Row, Groton, Massachusetts 01450, United States.
Shengyu WangSt. Margaret's Episcopal School, 31641 La Novia Avenue, San Juan Capistrano, California92675, United States.
Jia FanCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Bo NingCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0001-9437-7244

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Elucidating the measurement of telomeres: Development of a transdisciplinary, high-impact Telomere Research NetworkU24AG066528 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI DRURY, STACY SCHMIDT · 2019 to 2023
$3.0M
Acquisition of next-generation Orbitrap Eclipse Tribrid Mass Spectrometer systemS10OD032453 · OD · TULANE UNIVERSITY OF LOUISIANA · PI FAN, JIA · 2022 to 2022
$1.4M
Multiplexed quantification of circulating peptidomic signatures for EBOLA early diagnosisR21AI126361 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LABAER, JOSHUA · 2017 to 2018
$373k
NIAID NIH HHS R21 AI126361NIA NIH HHS U24 AG066528NIGMS NIH HHS P20 GM109036NIH HHS S10 OD032453
6 · The paper itself

Abstract

Spatial omics methods are extensions of traditional histological methods that can illuminate important biomedical mechanisms of physiology and disease by examining the distribution of biomolecules, including nucleic acids, proteins, lipids, and metabolites, at microscale resolution within tissues or individual cells. Since, for some applications, the desired resolution for spatial omics approaches the nanometer scale, classical tools have inherent limitations when applied to spatial omics analyses, and they can measure only a limited number of targets. Nanotechnology applications have been instrumental in overcoming these bottlenecks. When nanometer-level resolution is needed for spatial omics, super resolution microscopy or detection imaging techniques, such as mass spectrometer imaging, are required to generate precise spatial images of target expression. DNA nanostructures are widely used in spatial omics for purposes such as nucleic acid detection, signal amplification, and DNA barcoding for target molecule labeling, underscoring advances in spatial omics. Other properties of nanotechnologies include advanced spatial omics methods, such as microfluidic chips and DNA barcodes. In this review, we describe how nanotechnologies have been applied to the development of spatial transcriptomics, proteomics, metabolomics, epigenomics, and multiomics approaches. We focus on how nanotechnology supports improved resolution and throughput of spatial omics, surpassing traditional techniques. We also summarize future challenges and opportunities for the application of nanotechnology to spatial omics methods.

Indexed as

GenomicsMetabolomicsNanostructuresNanotechnologyAnimalsDNAEpigenomicsHumansProteomicsDNAmass spectrometrymetabolomicsmicrofluidicsnanomaterialsnanotechnologynext generation sequencingnucleic acid barcodingproteomicsSpatial omicstranscriptomics

Identifiers

PMID39704725
PMCPMC11752498

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.