Evidence map›Paper›PMID 30776427›Full record

ArticleMatrix biology : journal of the International Society for Matrix Biology2020

Collagen fiber structure guides 3D motility of cytotoxic T lymphocytes.

Hawley C Pruitt, Daniel Lewis, Mark Ciccaglione, Sydney Connor, Quinton Smith, John W Hickey, Jonathan P Schneck, Sharon Gerecht

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Matrix biology : journal of the International Society for Matrix Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 93 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Hawley C PruittDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA.
Daniel LewisDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA.
Mark CiccaglioneDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA.
Sydney ConnorDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA.
Quinton SmithDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA.
John W HickeyInstitute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Institute for Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Immunology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Jonathan P SchneckInstitute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Institute for Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Immunology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Sharon GerechtDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Physical Sciences-Oncology Center, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Materials Sciecne and Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Oncology, School of Johns Hof Medicine, Johns Hopkins University, Baltimore, MD, USA. Electronic address: gerecht@jhu.edu.
Johns Hopkins University · USPhysical Sciences (United States) · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
The Role of Physical Cues in Collective Cell InvasionU54CA210173 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2016 to 2020
$9.9M
T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
T-32 NIH Postdoctoral Training Program in Nanotechnology for Cancer Medicine NTCMT32CA130840 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2008 to 2012
$1.2M
NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA130840NCI NIH HHS T32 CA153952NCI NIH HHS U54 CA210173
6 · The paper itself

Abstract

Lymphocyte motility is governed by a complex array of mechanisms, and highly dependent on external microenvironmental cues. Tertiary lymphoid sites in particular have unique physical structure such as collagen fiber alignment, due to matrix deposition and remodeling. Three dimensional studies of human lymphocytes in such environments are lacking. We hypothesized that aligned collagenous environment modulates CD8+ T cells motility. We encapsulated activated CD8+ T cells in collagen hydrogels of distinct fiber alignment, a characteristic of tumor microenvironments. We found that human CD8+ T cells move faster and more persistently in aligned collagen fibers compared with nonaligned collagen fibers. Moreover, CD8+ T cells move along the axis of collagen alignment. We showed that myosin light chain kinase (MLCK) inhibition could nullify the effect of aligned collagen on CD8+ T cell motility patterns by decreasing T cell turning in unaligned collagen fiber gels. Finally, as an example of a tertiary lymphoid site, we found that xenograft prostate tumors exhibit highly aligned collagen fibers. We observed CD8+ T cells alongside aligned collagen fibers, and found that they are mostly concentrated in the periphery of tumors. Overall, using an in vitro controlled hydrogel system, we show that collagen fiber organization modulates CD8+ T cells movement via MLCK activation thus providing basis for future studies into relevant therapeutics.

Indexed as

AnimalsCD8-Positive T-LymphocytesCell Culture TechniquesCell Line, TumorCell MovementCollagenExtracellular MatrixHumansLab-On-A-Chip DevicesMaleMiceMyosin-Light-Chain KinaseNeoplasm TransplantationProstatic NeoplasmsT-Lymphocytes, CytotoxicCollagenMyosin-Light-Chain KinaseCollagenFiber alignmentMyosin light chain kinaseT cells

Identifiers

PMID30776427
PMCPMC6697628
OpenAlexW2912743257

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.