Evidence map›Paper›PMID 21427409›Full record

ArticleScience signaling2011

In vivo systems analysis identifies spatial and temporal aspects of the modulation of TNF-α-induced apoptosis and proliferation by MAPKs.

Ken S Lau, Alwin M Juchheim, Kimberly R Cavaliere, Sarah R Philips, Douglas A Lauffenburger, Kevin M Haigis

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

69 citing papers in PubMed, 8 citations in OpenAlex.

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  9. Maternal HIV infection drives altered placentalFrontiers in microbiology · 2023
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  10. Altered Maternal Antibody Profiles in Women With Human Immunodeficiency Virus Drive Changes in Transplacental Antibody Transfer.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  11. Article
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  13. eLife · 2021
    Article
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9 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Ken S LauMolecular Pathology Unit, Center for Cancer Research, and Center for Systems Biology, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Alwin M Juchheim
Kimberly R Cavaliere
Sarah R Philips
Douglas A Lauffenburger
Kevin M Haigis
Massachusetts General Hospital · USCenter for Systems Biology · USMassachusetts Institute of Technology · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
In vivo systems biology of inflammatory response in the intestinal epitheliumR01GM088827 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI HAIGIS, KEVIN, LAUFFENBURGER, DOUGLAS A · 2009 to 2012
$1.7M
NCI NIH HHS U54 CA112967NCI NIH HHS U54-CA112967NIDDK NIH HHS P30 DK043351NIGMS NIH HHS R01 GM088827NIGMS NIH HHS R01-GM088827
6 · The paper itself

Abstract

Cellular responses to external stimuli depend on dynamic features of multipathway network signaling; thus, cell behavior is influenced in a complex manner by the environment and by intrinsic properties. Methods of multivariate systems analysis have provided an understanding of these convoluted effects, but only for relatively simplified examples in vitro. To determine whether such approaches could be successfully used in vivo, we analyzed the signaling network that determines the response of intestinal epithelial cells to tumor necrosis factor-α (TNF-α). We built data-driven, partial least-squares discriminant analysis (PLSDA) models based on signaling, apoptotic, and proliferative responses in the mouse small intestinal epithelium after systemic exposure to TNF-α. The extracellular signal-regulated kinase (ERK) signaling axis was a critical modulator of the temporal variation in apoptosis at different doses of TNF-α and of the spatial variation in proliferation in distinct intestinal regions. Inhibition of MEK, a mitogen-activated protein kinase kinase upstream of ERK, altered the signaling network and changed the temporal and spatial phenotypes consistent with model predictions. Our results demonstrate the dynamic, adaptive nature of in vivo signaling networks and identify natural, tissue-level variation in responses that can be deconvoluted only with quantitative, multivariate computational modeling. This study lays a foundation for the use of systems-based approaches to understand how dysregulation of the cellular network state underlies complex diseases.

Indexed as

AnimalsApoptosisBenzamidesBlotting, WesternCell ProliferationCluster AnalysisDiphenylamineDiscriminant AnalysisDose-Response Relationship, DrugDuodenumIleumLeast-Squares AnalysisMaleMAP Kinase Signaling SystemMiceMice, Inbred C57BLBenzamidesDiphenylaminemirdametinibMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3Mitogen-Activated Protein KinasesPhosphoproteinsReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IITumor Necrosis Factor-alpha

Identifiers

PMID21427409
PMCPMC3963028
OpenAlexW1489590226

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.