Evidence map›Paper›PMID 25605709›Full record

ReviewCold Spring Harbor perspectives in biology2015

Astrocyte calcium signaling: from observations to functions and the challenges therein.

Baljit S Khakh, Ken D McCarthy

Open access · hybridAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed, 243 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Multi-timescale Computation by Astrocytes.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Mitochondrial CaBiomolecules · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Ventral striatal astrocytes contribute to reinforcement learning.bioRxiv : the preprint server for biology · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

87 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

2 authors at 2 institutions in 1 country.

Baljit S KhakhDepartments of Physiology and Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095.
Ken D McCarthyDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7365.
University of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · US

Funding

NEURONAL/ASTROCYTIC COMMUNICATIONS IN VIVOR01NS020212 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCCARTHY, KEN DOUGLAS · 1985 to 2013
$4.5M
Functions of astrocyte calcium signaling in the striatumR01NS060677 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KHAKH, BALJIT · 2008 to 2018
$4.3M
Astrocyte branchlet dysfunction as an early step in brain disordersDP1MH104069 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KHAKH, BALJIT · 2013 to 2017
$3.9M
ASTROCYTE-NEURONAL INTERACTIONS IN THE VISUAL CORTEXR01EY021190 · NEI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCCARTHY, KEN DOUGLAS · 2011 to 2015
$2.1M
New Optical and Genetic Tools to Study Diverse Calcium Signals in AstrocytesR01MH099559 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KHAKH, BALJIT · 2013 to 2017
$1.9M
Function of Astrocytic GPCR Signaling Cascades in Physiology and Mental IllnessR01MH099564 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCCARTHY, KEN DOUGLAS · 2013 to 2016
$1.4M
Glial Modulation of Autonomic Nervous System ActivityR21NS081589 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCCARTHY, KEN DOUGLAS · 2012 to 2013
$398k
NEI NIH HHS EY021190NEI NIH HHS R01 EY021190NIMH NIH HHS DP1 MH104069NIMH NIH HHS MH099559NIMH NIH HHS MH099564NIMH NIH HHS MH104069NIMH NIH HHS R01 MH099559NIMH NIH HHS R01 MH099564NINDS NIH HHS NS020212NINDS NIH HHS NS060677NINDS NIH HHS NS081589NINDS NIH HHS R01 NS020212NINDS NIH HHS R01 NS060677NINDS NIH HHS R21 NS081589
6 · The paper itself

Abstract

We provide an overview of recent progress on the study of astrocyte intracellular Ca(2+) signaling. We consider the methods that have been used to monitor astrocyte Ca(2+) signals, the various types of Ca(2+) signals that have been discovered (waves, microdomains, and intrinsic fluctuations), the approaches used to broadly trigger and block Ca(2+) signals, and, where possible, the proposed and demonstrated physiological roles for astrocyte Ca(2+) signals within neuronal microcircuits. Although important progress has been made, we suggest that further detailed work is needed to explore the biophysics and molecular mechanisms of Ca(2+) signaling within entire astrocytes, including their fine distal extensions, such as processes that interact spatially with neurons and blood vessels. Improved methods are also needed to mimic and block molecularly defined types of Ca(2+) signals within genetically specified populations of astrocytes. Moreover, it will be essential to study astrocyte Ca(2+) activity in vivo to distinguish between pharmacological and physiological activity, and to study Ca(2+) activity in situ to rigorously explore mechanisms. Once methods to reliably measure, mimic, and block specific astrocyte Ca(2+) signals with high temporal and spatial precision are available, researchers will be able to carefully explore the correlative and causative roles that Ca(2+) signals may play in the functions of astrocytes, blood vessels, neurons, and microcircuits in the healthy and diseased brain.

Indexed as

Calcium SignalingAnimalsAstrocytesCytological Techniques

Identifiers

PMID25605709
PMCPMC4382738
OpenAlexW2146678583

What OpenQuestion holds

Textmetadata
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.