Evidence map›Paper›PMID 38417049›Full record

ArticleJournal of proteome research2024

Multiomics Characterization of a Less Invasive Microfluidic-Based Cell Sorting Technique.

Feroza K Choudhury, Viji Premkumar, Jana Zecha, Jonathan Boyd, Andrew S Gaynor, Zengli Guo, Tom Martin, Raffaello Cimbro, Erik L Allman, Sonja Hess

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. bioRxiv : the preprint server for biology · 2025
    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

10 authors at 3 institutions in 2 countries.

Feroza K ChoudhuryDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.ORCID 0000-0002-5134-1484
Viji PremkumarDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.
Jana ZechaDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.
Jonathan BoydDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.
Andrew S GaynorOncology Cell Therapy, ICC, Oncology R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.
Zengli GuoBiologics Engineering, Cell Therapeutics and Viral Technologies, AstraZeneca, Gaithersburg, Maryland 20878, United States.ORCID 0000-0003-2950-4790
Tom MartinBiologics Engineering, Oncology TTD, ADC, AstraZeneca, Gaithersburg, Maryland 20878, United States.
Raffaello CimbroDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB2 0AA, United Kingdom.
Erik L AllmanDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.ORCID 0000-0002-6560-0889
Sonja HessDynamic Omics, Centre for Genomics Research (CGR), Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.ORCID 0000-0002-5904-9816
ID Genomics (United States) · USAstraZeneca (United States) · USAstraZeneca (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence-activated cell sorting (FACS) is a specialized technique to isolate specific cell subpopulations with a high level of recovery and accuracy. However, the cell sorting procedure can impact the viability and metabolic state of cells. Here, we performed a comparative study and evaluated the impact of traditional high-pressure charged droplet-based and microfluidic chip-based sorting on the metabolic and phosphoproteomic profile of different cell types. While microfluidic chip-based sorted cells more closely resembled the unsorted control group for most cell types tested, the droplet-based sorted cells showed significant metabolic and phosphoproteomic alterations. In particular, greater changes in redox and energy status were present in cells sorted with the droplet-based cell sorter along with larger shifts in proteostasis.

Indexed as

Flow CytometryMultiomicsAnimalsCell SeparationCitric Acid CycleHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMicrofluidicsProteomicsfluorescence-activated cell sorting (FACS)LC-MSmetabolomicsmultiomicsphosphoproteomicssorted cellssorter-induced cellular stress (SICS)Sortingstable isotope tracing

Identifiers

PMID38417049
PMCPMC11301668
OpenAlexW4392229902

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.