Evidence map›Paper›PMID 38709484›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

A Pipeline for Dynamic Analysis of Mitochondrial Content in Developing T Cells: Bridging the Gap Between High-Throughput Flow Cytometry and Single-Cell Microscopy Analysis.

Vaibhav Dhyani, Anchi S Chann, Lopamudra Giri, Sarah M Russell, Mirren Charnley

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Vaibhav DhyaniBioimaging and Data Analysis Lab, Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India.
Anchi S ChannOptical Science Centre, Faculty of Science, Engineering & Technology, Swinburne University of Technology, Hawthorn, Australia.
Lopamudra GiriBioimaging and Data Analysis Lab, Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India.
Sarah M RussellOptical Science Centre, Faculty of Science, Engineering & Technology, Swinburne University of Technology, Hawthorn, Australia. sarah.russell@petermac.org.
Mirren CharnleyOptical Science Centre, Faculty of Science, Engineering & Technology, Swinburne University of Technology, Hawthorn, Australia. mcharnley@swin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing the dynamics of mitochondrial content in developing T cells is crucial for understanding the metabolic state during T cell development. However, monitoring mitochondrial content in real-time needs a balance of cell viability and image resolution. In this chapter, we present experimental protocols for measuring mitochondrial content in developing T cells using three modalities: bulk analysis via flow cytometry, volumetric imaging in laser scanning confocal microscopy, and dynamic live-cell monitoring in spinning disc confocal microscopy. Next, we provide an image segmentation and centroid tracking-based analysis pipeline for automated quantification of a large number of microscopy images. These protocols together offer comprehensive approaches to investigate mitochondrial dynamics in developing T cells, enabling a deeper understanding of their metabolic processes.

Indexed as

Flow CytometryMicroscopy, ConfocalMitochondriaSingle-Cell AnalysisT-LymphocytesAnimalsHumansImage Processing, Computer-AssistedMiceMitochondrial Dynamics3D imagingDensity-based spatial clustering of applications with noise (DBSCAN)DN3Image segmentationMitochondriaMitoView Green

Identifiers

PMID38709484

What OpenQuestion holds

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Registered trials

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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.