Evidence map›Paper›PMID 35781280›Full record

ArticleJournal of visualized experiments : JoVE2022

Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models.

Jesse Liang, Alireza Sohrabi, Mary Epperson, Laila M Rad, Kelly Tamura, Mayilone Sathialingam, Thamira Skandakumar, Philip Lue, Jeremy Huang, James Popoli and 7 more

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. 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
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

17 authors at 1 institution in 1 country.

Jesse LiangUniversity of California Los Angeles.
Alireza SohrabiUniversity of California Los Angeles.
Mary EppersonUniversity of California Los Angeles.
Laila M RadUniversity of California Los Angeles.
Kelly TamuraUniversity of California Los Angeles.
Mayilone SathialingamUniversity of California Los Angeles.
Thamira SkandakumarUniversity of California Los Angeles.
Philip LueUniversity of California Los Angeles.
Jeremy HuangUniversity of California Los Angeles.
James PopoliUniversity of California Los Angeles.
Aidan YacklyUniversity of California Los Angeles.
Michael BickUniversity of California Los Angeles.
Ze Zhong WangUniversity of California Los Angeles.
Chia-Chun ChenUniversity of California Los Angeles.
Grigor VaruzhanyanUniversity of California Los Angeles.
Robert DamoiseauxUniversity of California Los Angeles.
Stephanie K SeidlitsUniversity of California Los Angeles; seidlits@g.ucla.edu.
University of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
TUMOR CELL SURFACES AND CHROMOSOMEST32CA009056 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Gay M Crooks, David A. Nathanson · 1985 to 2026
$10.5M
NCI NIH HHS P30 CA016042NCI NIH HHS T32 CA009056
6 · The paper itself

Abstract

Cell-matrix interactions mediate complex physiological processes through biochemical, mechanical, and geometrical cues, influencing pathological changes and therapeutic responses. Accounting for matrix effects earlier in the drug development pipeline is expected to increase the likelihood of clinical success of novel therapeutics. Biomaterial-based strategies recapitulating specific tissue microenvironments in 3D cell culture exist but integrating these with the 2D culture methods primarily used for drug screening has been challenging. Thus, the protocol presented here details the development of methods for 3D culture within miniaturized biomaterial matrices in a multi-well plate format to facilitate integration with existing drug screening pipelines and conventional assays for cell viability. Since the matrix features critical for preserving clinically relevant phenotypes in cultured cells are expected to be highly tissue- and disease-specific, combinatorial screening of matrix parameters will be necessary to identify appropriate conditions for specific applications. The methods described here use a miniaturized culture format to assess cancer cell responses to orthogonal variation of matrix mechanics and ligand presentation. Specifically, this study demonstrates the use of this platform to investigate the effects of matrix parameters on the responses of patient-derived glioblastoma (GBM) cells to chemotherapy.

Indexed as

GlioblastomaHydrogelsBiocompatible MaterialsCells, CulturedCell SurvivalHumansTumor MicroenvironmentBiocompatible MaterialsHydrogels

Identifiers

PMID35781280
PMCPMC9969841
OpenAlexW4283023397

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.