Evidence map›Paper›PMID 24357890›Full record

ArticleFundamenta informaticae2012

An adaptive coarse graining method for signal transduction in three dimensions.

Michelle N Archuleta, Jason E McDermott, Jeremy S Edwards, Haluk Resat

Abstract read
In one paragraph

Article in Fundamenta informaticae, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michelle N ArchuletaChemical and Nuclear Engineering Department, University of New Mexico, Albuquerque, NM 87131, USA.
Jason E McDermottComputational Biology and Bioinformatics Group, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Jeremy S EdwardsMolecular Genetics and Microbiology Department, UNM Cancer Research and Treatment Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Haluk ResatComputational Biology and Bioinformatics Group, Pacific Northwest National Laboratory, Richland, WA 99352, USA.

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
SALMONELLA GENES REQUIRED FOR SURVIVAL IN THE MACROPHAGER01AI022933 · NIAID · SCRIPPS RESEARCH INSTITUTE · PI HEFFRON, FRED L · 1987 to 2013
$4.6M
Modeling Cell Receptor Signaling PathwaysR01GM072821 · NIGMS · WASHINGTON STATE UNIVERSITY · PI RESAT, HALUK · 2005 to 2012
$2.1M
SURFACE CHEMISTRY OF MYCOBACTERIAR01AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1989 to 1989
–
SURFACE CHEMISTRY OF MYCOBACTERIAR22AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1985 to 1989
–
NIAID NIH HHS R01 AI022933NIAID NIH HHS Y01 AI008401NIGMS NIH HHS P50 GM085273NIGMS NIH HHS R01 GM072821
6 · The paper itself

Abstract

The spatio-temporal landscape of the plasma membrane regulates activation and signal transduction of membrane bound receptors by restricting their two-dimensional mobility and by inducing receptor clustering. This regulation also extends to complex formation between receptors and adaptor proteins, which are the intermediate signaling molecules involved in cellular signaling that relay the received cues from cell surface to cytoplasm and eventually to the nucleus. Although their investigation poses challenging technical difficulties, there is a crucial need to understand the impact of the receptor diffusivity, clustering, and spatial heterogeneity, and of receptor-adaptor protein complex formation on the cellular signal transduction patterns. Building upon our earlier studies, we have developed an adaptive coarse-grained Monte Carlo method that can be used to investigate the role of diffusion, clustering and membrane corralling on receptor association and receptor-adaptor protein complex formation dynamics in three dimensions. The new Monte Carlo lattice based approach allowed us to introduce spatial resolution on the 2-D plasma membrane and to model the cytoplasm in three-dimensions. Being a multi-resolution approach, our new method makes it possible to represent various parts of the cellular system at different levels of detail and enabled us to utilize the locally homogeneous assumption when justified (e.g., cytoplasmic region away from the cell membrane) and avoid its use when high spatial resolution is needed (e.g., cell membrane and cytoplasmic region near the membrane) while keeping the required computational complexity manageable. Our results have shown that diffusion has a significant impact on receptor-receptor dimerization and receptor-adaptor protein complex formation kinetics. We have observed an "adaptor protein hopping" mechanism where the receptor binding proteins may hop between receptors to form short-lived transient complexes. This increased residence time of the adaptor proteins near cell membrane and their ability to frequently change signaling partners may explain the increase in signaling efficiency when receptors are clustered. We also hypothesize that the adaptor protein hopping mechanism can cause concurrent or sequential activation of multiple signaling pathways, thus leading to crosstalk between diverse biological functions.

Identifiers

PMID24357890
PMCPMC3865981

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.