-
Je něco špatně v tomto záznamu ?
A primer to traction force microscopy
A. Zancla, P. Mozetic, M. Orsini, G. Forte, A. Rainer
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, přehledy, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2021
Free Medical Journals
od 2008 do Před 1 rokem
Freely Accessible Science Journals
od 1905 do Před 1 rokem
PubMed Central
od 2005
Europe PubMed Central
od 2005 do Před 1 rokem
Open Access Digital Library
od 1905-10-01
Open Access Digital Library
od 1905-10-01
Elsevier Open Access Journals
od 1905-10-01
ROAD: Directory of Open Access Scholarly Resources
od 1905
- MeSH
- biofyzika MeSH
- buněčná adheze MeSH
- mikroskopie atomárních sil metody MeSH
- trakce * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Traction force microscopy (TFM) has emerged as a versatile technique for the measurement of single-cell-generated forces. TFM has gained wide use among mechanobiology laboratories, and several variants of the original methodology have been proposed. However, issues related to the experimental setup and, most importantly, data analysis of cell traction datasets may restrain the adoption of TFM by a wider community. In this review, we summarize the state of the art in TFM-related research, with a focus on the analytical methods underlying data analysis. We aim to provide the reader with a friendly compendium underlying the potential of TFM and emphasizing the methodological framework required for a thorough understanding of experimental data. We also compile a list of data analytics tools freely available to the scientific community for the furtherance of knowledge on this powerful technique.
Center for Translational Medicine St Anne's University Hospital Brno Czechia
Department of Engineering Università Campus Bio Medico di Roma Rome Italy
Department of Engineering Università degli Studi Roma Tre Rome Italy
Institute of Nanotechnology National Research Council Lecce Italy
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22018587
- 003
- CZ-PrNML
- 005
- 20220804134858.0
- 007
- ta
- 008
- 220720s2022 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.jbc.2022.101867 $2 doi
- 035 __
- $a (PubMed)35351517
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Zancla, Andrea $u Department of Engineering, Università degli Studi Roma Tre, Rome, Italy; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
- 245 12
- $a A primer to traction force microscopy / $c A. Zancla, P. Mozetic, M. Orsini, G. Forte, A. Rainer
- 520 9_
- $a Traction force microscopy (TFM) has emerged as a versatile technique for the measurement of single-cell-generated forces. TFM has gained wide use among mechanobiology laboratories, and several variants of the original methodology have been proposed. However, issues related to the experimental setup and, most importantly, data analysis of cell traction datasets may restrain the adoption of TFM by a wider community. In this review, we summarize the state of the art in TFM-related research, with a focus on the analytical methods underlying data analysis. We aim to provide the reader with a friendly compendium underlying the potential of TFM and emphasizing the methodological framework required for a thorough understanding of experimental data. We also compile a list of data analytics tools freely available to the scientific community for the furtherance of knowledge on this powerful technique.
- 650 _2
- $a biofyzika $7 D001703
- 650 _2
- $a buněčná adheze $7 D002448
- 650 _2
- $a mikroskopie atomárních sil $x metody $7 D018625
- 650 12
- $a trakce $7 D014143
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a přehledy $7 D016454
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Mozetic, Pamela $u Institute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy; Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy
- 700 1_
- $a Orsini, Monica $u Department of Engineering, Università degli Studi Roma Tre, Rome, Italy
- 700 1_
- $a Forte, Giancarlo $u Center for Translational Medicine (CTM), International Clinical Research Center (ICRC), St Anne's University Hospital, Brno, Czechia. Electronic address: giancarlo.forte@fnusa.cz
- 700 1_
- $a Rainer, Alberto $u Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy; Institute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy. Electronic address: a.rainer@unicampus.it
- 773 0_
- $w MED00002546 $t The Journal of biological chemistry $x 1083-351X $g Roč. 298, č. 5 (2022), s. 101867
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/35351517 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220720 $b ABA008
- 991 __
- $a 20220804134852 $b ABA008
- 999 __
- $a ok $b bmc $g 1822267 $s 1169830
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2022 $b 298 $c 5 $d 101867 $e 20220326 $i 1083-351X $m The Journal of biological chemistry $n J Biol Chem $x MED00002546
- LZP __
- $a Pubmed-20220720