Evidence map›Paper›PMID 41633366›Full record

ReviewCell systems2026

Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling.

Krystal K Lum, Jinhang Yang, Tavis J Reed, Ileana M Cristea

Abstract readReview
In one paragraph

Review in Cell systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Krystal K LumDepartment of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA.
Jinhang YangDepartment of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA.
Tavis J ReedDepartment of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA.
Ileana M CristeaDepartment of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA. Electronic address: icristea@princeton.edu.

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007388 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 1985 to 2022
$27.4M
Dynamic virus-driven remodeling of ER-mitochondria contactsR01AI174515 · NIAID · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 2022 to 2025
$2.2M
NRSA TrainingTL1TR003019 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SCOTTO, KATHLEEN W. · 2019 to 2023
$1.9M
NCATS NIH HHS TL1 TR003019NIAID NIH HHS R01 AI174515NIGMS NIH HHS T32 GM007388
6 · The paper itself

Abstract

Pathogens have evolved complex strategies that exploit the unique intracellular niches of organelles to establish a favorable replication environment that promotes infection and associated diseases. Defining how pathogens remodel organelle structures and compositions to redirect their functions is a major goal in cell biology. Recent technological advancements now enable structural characterizations of remodeled organelles in exquisite detail, as well as quantitative mapping of relocalized protein constituents and suborganellar interacting proteins. We describe emerging advances in complementary approaches for spatially and temporally profiling organelle rearrangements dictated by pathogen infection, with a focus on state-of-the-art microscopy, quantitative proteomics, and the integration of computational developments during virus infection. We examine the organellar resolutions and subcellular scales of these methodologies and recent applications during viral infections. We discuss how existing biochemical and bioinformatic tools can be integrated for systems-level mapping of organelle remodeling dynamics to dissect structure-function relationships of rewired organelles induced by microbes.

Indexed as

Host-Pathogen InteractionsOrganellesAnimalsHumansProteomicsVirus Diseasesadvanced microscopymass spectrometrypathogen-induced organelle remodelingquantitative proteomicsspatial and temporal dynamicsspatial proteomicsviruses

Identifiers

PMID41633366
PMCPMC13423503

What Socratic holds

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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 Socratic graph.