Evidence map›Paper›PMID 37409177›Full record

ArticleAnalysis & sensing2022

Designing Protein-Based Probes for Sensing Biological Analytes with Magnetic Resonance Imaging.

Jason Yun, Michelle Baldini, Rochishnu Chowdhury, Arnab Mukherjee

Abstract read
In one paragraph

Article in Analysis & sensing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. A programmable genetic platform for engineering noninvasive biosensors.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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

4 authors.

Jason YunDepartment of Chemistry, University of California, Santa Barbara, CA 93106, USA.
Michelle BaldiniDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Rochishnu ChowdhuryMechanical Engineering, University of California, Santa Barbara, CA 93106, USA.
Arnab MukherjeeDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.

Funding

Engineering fluorescence and magnetic resonance reporter genes for imaging biological function in hypoxic cells and in vivoR35GM133530 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI MUKHERJEE, ARNAB · 2019 to 2023
$1.6M
NIGMS NIH HHS R35 GM133530
6 · The paper itself

Abstract

Genetically encoded sensors provide unique advantages for monitoring biological analytes with molecular and cellular-level specificity. While sensors derived from fluorescent proteins represent staple tools in biological imaging, these probes are limited to optically accessible preparations owing to physical curbs on light penetration. In contrast to optical methods, magnetic resonance imaging (MRI) may be used to noninvasively look inside intact organisms at any arbitrary depth and over large fields of view. These capabilities have spurred the development of innovative methods to connect MRI readouts with biological targets using protein-based probes that are in principle genetically encodable. Here, we highlight the state-of-the-art in MRI-based biomolecular sensors, focusing on their physical mechanisms, quantitative characteristics, and biological applications. We also describe how innovations in reporter gene technology are creating new opportunities to engineer MRI sensors that are sensitive to dilute biological targets.

Identifiers

PMID37409177
PMCPMC10321474

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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.