Evidence map›Paper›PMID 39958386›Full record

ArticleLiver research (Beijing, China)2023

Optimization of high throughput spectral flow cytometry for immune cell profiling in mouse liver.

Grayson W Way, Hongkun Lu, Xuan Wang, Derrick Zhao, Carmen Camarena, Devanand Sarkar, Rebecca K Martin, Huiping Zhou

Abstract read
In one paragraph

Article in Liver research (Beijing, China), 2023. 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
–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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Grayson W WayC. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA.
Hongkun LuDepartment of Microbiology and Immunology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Xuan WangDepartment of Microbiology and Immunology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Derrick ZhaoDepartment of Microbiology and Immunology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Carmen CamarenaC. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA.
Devanand SarkarDepartment of Human and Molecular Genetics, Massey Cancer Center, VCU Institute of Molecular Medicine (VIMM), Virginia Commonwealth University, Richmond, VA, USA.
Rebecca K MartinDepartment of Microbiology and Immunology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Huiping ZhouDepartment of Microbiology and Immunology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver plays an important role in both metabolism and immunity. Disruption of the hepatic immune microenvironment is closely associated with various liver diseases. To gain a better understanding of how different types of immune cells contribute to the progression of liver diseases, it is crucial to thoroughly characterize hepatic immune cells. Although direct digestion of liver tissue is a relatively simple method for isolating immune cells, it often induces excessive hepatocyte death, which causes a release of intracellular components that leads to the activation of stress responses and injury in the surrounding cells. This injury can lead to excessive death in the hepatic immune cells, making isolation and accurate characterization of the immune profile challenging, especially in diseased livers. The method described here addresses these challenges by utilizing Phosphate buffered saline (PBS) and digestion buffer perfusions to eliminate contaminating blood cells, ensure a pure hepatic immune population, and minimize hepatic immune cell death. Further

Identifiers

PMID39958386
PMCPMC11791911

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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.