Evidence map›Paper›PMID 22002872›Full record

ReviewExperimental physiology2012

Adaptive transcriptional dynamics of A2 neurons and central cardiovascular control pathways.

Rajanikanth Vadigepalli, Gregory E Gonye, Julian F R Paton, James S Schwaber

Abstract readReview
In one paragraph

Review in Experimental physiology, 2012. 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

4 authors.

Rajanikanth VadigepalliDaniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Gregory E Gonye
Julian F R Paton
James S Schwaber

Funding

Modeling Central Autonomic Regulatory Network Adaptation to HypertensionR01HL111621 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES, VADIGEPALLI, RAJANIKANTH · 2012 to 2015
$2.4M
Mechanisms of Central Autonomic Orchestration of Blood PressureR33HL087361 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES · 2006 to 2008
$1.8M
Integrated Modeling of Adaptive Neuronal RegulationR01GM083108 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES, VADIGEPALLI, RAJANIKANTH · 2009 to 2012
$1.5M
Mechanisms of Central Autonomic Orchestration of Blood PressureR33HL088283 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI VADIGEPALLI, RAJANIKANTH · 2006 to 2008
$846k
British Heart Foundation RG/07/006/23634NHLBI NIH HHS R01 HL111621NHLBI NIH HHS R33 HL087361NHLBI NIH HHS R33 HL088283NIGMS NIH HHS R01 GM083108
6 · The paper itself

Abstract

In order to provide an example of useful interaction between systems biology and computational neuroscience traditions, here we aim to identify the molecular response process through which elevated blood pressure induces a temporal sequence of gene expression changes. This initial response may then continually evolve as an adaptive response, altering central blood pressure set-point control. Our approach involves using a set of 96 quantitative PCR gene assays, which represent the molecular process associated with neuronal responses to angiotensin II type 1 receptor (AT1R) activation. We use this set as a probe to search for the AT1R signalling-triggered expression programme in individual neurons and groups of neurons involved in homeostatic regulation of cardiorespiratory function. Specifically, we focus on tissue samples from the nucleus tractus solitarii, as well as groups of A2 neurons and individual A2 cells within the nucleus tractus solitarii, and in the ventrolateral medulla and central amygdala. We assay these neural samples at rest and in response to elevated blood pressure. Analysis of the resulting high-dimensional data set reveals a remarkable complexity and heterogeneity of the samples and of their response to changes in blood pressure. These results demonstrate differential expression programmes for each anatomically distinct neuronal group and neuronal type. Single-cell expression analysis shows that A2 cells also are variable, and that the subset that responds to blood pressure with elevated Fos expression differs from other A2 cells. We present models of gene regulatory networks and of signalling cascades related to AT1R and broadly discuss the opportunities for valuable interactions between systems biology and computational neuroscience.

Indexed as

Adaptation, PhysiologicalAnimalsBlood PressureGene Regulatory NetworksHumansNeural PathwaysNeuronsReceptor, Angiotensin, Type 1Transcription, GeneticReceptor, Angiotensin, Type 1

Identifiers

PMID22002872
PMCPMC4414336

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Registered trials

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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.