Distribution of data in cellular electrophysiology: Is it
always normal?

J 2020

Distribution of data in cellular electrophysiology: Is it always normal?

KULA, Roman, Markéta BÉBAROVÁ, Peter MATEJOVIČ, Jiří ŠIMURDA, Michal PÁSEK et. al.

Basic information

Original name

Distribution of data in cellular electrophysiology: Is it always normal?

Authors

KULA, Roman (203 Czech Republic, belonging to the institution), Markéta BÉBAROVÁ (203 Czech Republic, belonging to the institution), Peter MATEJOVIČ (203 Czech Republic, belonging to the institution), Jiří ŠIMURDA (203 Czech Republic, belonging to the institution) and Michal PÁSEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2020, 0079-6107

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10608 Biochemistry and molecular biology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.667

RIV identification code

RIV/00216224:14110/20:00118626

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008

UT WoS

000582745400003

Keywords in English

Cardiomyocyte; Inward rectifier; Membrane capacitance; Normal distribution; Log-normal distribution; Gamma distribution; Geometric mean; Median

Abstract

V originále

The distribution of data presented in many electrophysiological studies is presumed to be normal without any convincing evidence. To test this presumption, the cell membrane capacitance and magnitude of inward rectifier potassium currents were recorded by the whole-cell patch clamp technique in rat atrial myocytes. Statistical analysis of the data showed that these variables were not distributed normally. Instead, a positively skewed distribution appeared to be a better approximation of the real data distribution. Consequently, the arithmetic mean, used inappropriately in such data, may substantially overestimate the true mean value characterizing the central tendency of the data. Moreover, a large standard deviation describing the variance of positively skewed data allowed 95% confidence interval to include unrealistic negative values. We therefore conclude that the normality of the electrophysiological data should be tested in every experiment and, if rejected, the positively skewed data should be more accurately characterized by the median and interpercentile range or, if justified (namely in the case of log-normal and gamma data distribution), by the geometric mean and the geometric standard deviation. (C) 2020 Elsevier Ltd. All rights reserved.

Links

NV16-30571A, research and development project

Name: Klinický význam a elektrofyziologické zhodnocení mutace c.926C>T genu KCNQ1 (p.T309I) jako možné „founder mutation“ syndromu dlouhého intervalu QT

Citovat

KULA, Roman, Markéta BÉBAROVÁ, Peter MATEJOVIČ, Jiří ŠIMURDA and Michal PÁSEK. Distribution of data in cellular electrophysiology: Is it always normal? PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2020, vol. 157, NOV 2020, p. 11-17. ISSN 0079-6107. Available from: https://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008.

@article{1692061,
   author = {Kula, Roman and Bébarová, Markéta and Matejovič, Peter and Šimurda, Jiří and Pásek, Michal},
   article_location = {OXFORD},
   article_number = {NOV 2020},
   doi = {http://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008},
   keywords = {Cardiomyocyte; Inward rectifier; Membrane capacitance; Normal distribution; Log-normal distribution; Gamma distribution; Geometric mean; Median},
   language = {eng},
   issn = {0079-6107},
   journal = {PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY},
   title = {Distribution of data in cellular electrophysiology: Is it always normal?},
   url = {https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub},
   volume = {157},
   year = {2020}
}

TY  - JOUR
ID  - 1692061
AU  - Kula, Roman - Bébarová, Markéta - Matejovič, Peter - Šimurda, Jiří - Pásek, Michal
PY  - 2020
TI  - Distribution of data in cellular electrophysiology: Is it always normal?
JF  - PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY
VL  - 157
IS  - NOV 2020
SP  - 11-17
EP  - 11-17
PB  - PERGAMON-ELSEVIER SCIENCE LTD
SN  - 00796107
KW  - Cardiomyocyte
KW  - Inward rectifier
KW  - Membrane capacitance
KW  - Normal distribution
KW  - Log-normal distribution
KW  - Gamma distribution
KW  - Geometric mean
KW  - Median
UR  - https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub
L2  - https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub
N2  - The distribution of data presented in many electrophysiological studies is presumed to be normal without any convincing evidence. To test this presumption, the cell membrane capacitance and magnitude of inward rectifier potassium currents were recorded by the whole-cell patch clamp technique in rat atrial myocytes. Statistical analysis of the data showed that these variables were not distributed normally. Instead, a positively skewed distribution appeared to be a better approximation of the real data distribution. Consequently, the arithmetic mean, used inappropriately in such data, may substantially overestimate the true mean value characterizing the central tendency of the data. Moreover, a large standard deviation describing the variance of positively skewed data allowed 95% confidence interval to include unrealistic negative values. We therefore conclude that the normality of the electrophysiological data should be tested in every experiment and, if rejected, the positively skewed data should be more accurately characterized by the median and interpercentile range or, if justified (namely in the case of log-normal and gamma data distribution), by the geometric mean and the geometric standard deviation. (C) 2020 Elsevier Ltd. All rights reserved.
ER  -

KULA, Roman, Markéta BÉBAROVÁ, Peter MATEJOVIČ, Jiří ŠIMURDA and Michal PÁSEK. Distribution of data in cellular electrophysiology: Is it always normal? \textit{PROGRESS IN BIOPHYSICS \&{}amp; MOLECULAR BIOLOGY}. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2020, vol.~157, NOV 2020, p.~11-17. ISSN~0079-6107. Available from: https://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008.

Detailed Information on Publication Record