Evidence map›Paper›PMID 37028221›Full record

ReviewCurrent opinion in immunology2023

Systems biology approaches to unravel lymphocyte subsets and function.

YeEun Kim, William J Greenleaf, Sean C Bendall

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2023. 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

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

3 authors.

YeEun KimImmunology Graduate Program, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA.
William J GreenleafDepartment of Genetics, Stanford University, Stanford, CA, USA.
Sean C BendallDepartment of Pathology, Stanford University, Stanford, CA, USA. Electronic address: bendall@stanford.edu.

Funding

Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
The Bone Marrow Multi-modal Imaging CoreU54HL165445 · NHLBI · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2022 to 2025
$5.9M
MIRIAD - Multiplexed Imaging of Resilience In Alzheimers DiseaseR01AG057915 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$4.5M
The Phenotypic Landscape of Cognitive Decline as Revealed by Next-Generation Multiplexed Ion Beam ImagingR01AG056287 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$2.6M
Origins of human blood lineages in regenerative medicineDP2EB024246 · NIBIB · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2016 to 2016
$2.4M
Uncoupling Age- Versus Cognitive-Related Cellular Senescence in Alzheimer's DiseaseR01AG068279 · NIA · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2020 to 2024
$1.9M
NCI NIH HHS U24 CA224309NHLBI NIH HHS U54 HL165445NIA NIH HHS R01 AG056287NIA NIH HHS R01 AG057915NIA NIH HHS R01 AG068279NIBIB NIH HHS DP2 EB024246
6 · The paper itself

Abstract

Single-cell technologies have revealed the extensive heterogeneity and complexity of the immune system. Systems biology approaches in immunology have taken advantage of the high-parameter, high-throughput data and analyzed immune cell types in a 'bottom-up' data-driven method. This approach has discovered previously unrecognized cell types and functions. Especially for human immunology, in which experimental manipulations are challenging, systems approach has become a successful means to investigate physiologically relevant contexts. This review focuses on the recent findings in lymphocyte biology, from their development, differentiation into subsets, and heterogeneity in their functions, enabled by these systems approaches. Furthermore, we review examples of the application of findings from systems approach studies and discuss how now to leave the rich dataset in the curse of high dimensionality.

Indexed as

Immune SystemSystems BiologyCell DifferentiationHumansLymphocyte CountLymphocyte Subsets

Identifiers

PMID37028221
PMCPMC10330158

What OpenQuestion 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 OpenQuestion graph.