Evidence map›Paper›PMID 42098345›Full record

ArticleNature methods2026

FILM: mapping organellar metabolism by mid-infrared photothermal-modulated fluorescence.

Jianpeng Ao, Jiaze Yin, Haonan Lin, Guangrui Ding, Youchen Guan, Marzia Savini, Bethany Weinberg, Dashan Dong, Qing Xia, Zhongyue Guo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jianpeng Ao *Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9625-4245
Jiaze Yin *Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6080-3073
Haonan LinDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0437-5902
Guangrui DingDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Youchen GuanHHMI Janelia Research Campus, Ashburn, VA, USA.
Marzia SaviniHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0001-8945-7629
Bethany WeinbergHHMI Janelia Visiting Scholar Program, Ashburn, VA, USA.
Dashan DongDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6135-2849
Qing XiaDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5939-2972
Zhongyue GuoPhotonics Center, Boston University, Boston, MA, USA.
Bowen LiuDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Biwen GaoDepartment of Chemistry, Boston University, Boston, MA, USA.ORCID http://orcid.org/0009-0005-6427-2720
Ji-Xin ChengDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA. jxcheng@bu.edu.ORCID http://orcid.org/0000-0002-5607-6683
Meng C WangHHMI Janelia Research Campus, Ashburn, VA, USA. mengwang@janelia.hhmi.org.ORCID http://orcid.org/0000-0002-5898-6007

Funding

Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
NIGMS NIH HHS R35 GM136223U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM136223
6 · The paper itself

Abstract

Metabolism unfolds within specific organelles in eukaryotic cells. Lysosomes are highly metabolically active organelles, and their metabolic states dynamically influence signal transduction, cellular homeostasis and organismal physiopathology. Despite the importance of lysosomal metabolism, a method for its in vivo measurement is currently lacking. Here we report a fluorescence-detected mid-infrared photothermal microscope (FILM) implemented with optical boxcar demodulation, artificial intelligence-assisted data denoising and spectral deconvolution, to map metabolic activity and composition of individual lysosomes in living cells and organisms. Using this method, we uncovered lipolysis and proteolysis heterogeneity across lysosomes within the same cell, as well as early-onset lysosomal dysfunction during organismal aging. In addition, we discovered organelle-level metabolic changes associated with diverse lysosomal storage diseases. This method holds the broad potential to profile metabolic fingerprints of individual organelles within their native context and quantitatively assess their dynamic changes under different physiological and pathological conditions, providing a high-resolution chemical cellular atlas.

Indexed as

LysosomesOrganellesAnimalsFluorescenceHumansInfrared RaysMicroscopy, Fluorescence

Identifiers

PMID42098345
PMCPMC13617425

What OpenQuestion holds

Textmetadata
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.