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.

Základní údaje

Originální název

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

Autoři

KULA, Roman (203 Česká republika, domácí), Markéta BÉBAROVÁ (203 Česká republika, domácí), Peter MATEJOVIČ (203 Česká republika, domácí), Jiří ŠIMURDA (203 Česká republika, domácí) a Michal PÁSEK (203 Česká republika, garant, domácí)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10608 Biochemistry and molecular biology

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.667

Kód RIV

RIV/00216224:14110/20:00118626

Organizační jednotka

Lékařská fakulta

DOI

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

UT WoS

000582745400003

Klíčová slova anglicky

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

Štítky

14110515, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 11. 2020 10:42, Mgr. Tereza Miškechová

Anotace

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.

Návaznosti

NV16-30571A, projekt VaV

Název: 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 a Michal PÁSEK. Distribution of data in cellular electrophysiology: Is it always normal? PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2020, roč. 157, NOV 2020, s. 11-17. ISSN 0079-6107. Dostupné z: 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 a 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, roč.~157, NOV 2020, s.~11-17. ISSN~0079-6107. Dostupné z: https://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008.

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