Irina Kolotuev1, Yannick Schwab, Michel Labouesse. 1. Department of Cell and Developmental Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire , 67400 Illkirch, France. ira.kolotueva@gmail.com
Abstract
BACKGROUND INFORMATION: CLEM (correlative live cell and electron microscopy) seeks to bridge the data acquired with different imaging strategies, typically between light microscopy and electron microscopy. It has been successfully applied in cell cultures, although its use in multicellular systems is hampered by difficulties in locating the ROI (region of interest). RESULTS: We developed a CLEM technique that enables easy processing of small model animals and is adequate both for morphology and immunoelectron-microscopic specimen preparations. While this method has been initially developed for Caenorhabditis elegans samples, we found that it works equally well for Drosophila samples. It enables handling and observation of single animals of any complex genotype in real time, fixation by high-pressure freezing and flat embedding. Our major improvement has been the development of a precise mapping system that considerably simplifies and speeds up the retrospective location of the ROI within 1 mum distance. This method can be successfully used when correlative microscopy is required, as well as to facilitate the treatment of non-correlative TEM procedures. Our improvements open the possibility to treat statistically significant numbers of animals processed by electron microscopy and considerably simplifies electron-microscopic protocols, making them more accessible to a wider range of researchers. CONCLUSIONS: We believe that this technique will contribute to correlative studies in multicellular models and will facilitate the time-demanding procedure of specimen preparation for any kind of TEM.
BACKGROUND INFORMATION: CLEM (correlative live cell and electron microscopy) seeks to bridge the data acquired with different imaging strategies, typically between light microscopy and electron microscopy. It has been successfully applied in cell cultures, although its use in multicellular systems is hampered by difficulties in locating the ROI (region of interest). RESULTS: We developed a CLEM technique that enables easy processing of small model animals and is adequate both for morphology and immunoelectron-microscopic specimen preparations. While this method has been initially developed for Caenorhabditis elegans samples, we found that it works equally well for Drosophila samples. It enables handling and observation of single animals of any complex genotype in real time, fixation by high-pressure freezing and flat embedding. Our major improvement has been the development of a precise mapping system that considerably simplifies and speeds up the retrospective location of the ROI within 1 mum distance. This method can be successfully used when correlative microscopy is required, as well as to facilitate the treatment of non-correlative TEM procedures. Our improvements open the possibility to treat statistically significant numbers of animals processed by electron microscopy and considerably simplifies electron-microscopic protocols, making them more accessible to a wider range of researchers. CONCLUSIONS: We believe that this technique will contribute to correlative studies in multicellular models and will facilitate the time-demanding procedure of specimen preparation for any kind of TEM.
Authors: Martin Harterink; Karin Vocking; Xingxiu Pan; Eva M Soriano Jerez; Lotte Slenders; Amélie Fréal; Roderick P Tas; Willine J van de Wetering; Karina Timmer; Jasmijn Motshagen; Sam F B van Beuningen; Lukas C Kapitein; Willie J C Geerts; Jan A Post; Casper C Hoogenraad Journal: J Neurosci Date: 2019-04-09 Impact factor: 6.167
Authors: Mihoko Kato; Irina Kolotuev; Alexandre Cunha; Shahla Gharib; Paul W Sternberg Journal: Proc Natl Acad Sci U S A Date: 2021-01-05 Impact factor: 11.205
Authors: Toan Huynh; Matthew K Daddysman; Ying Bao; Alan Selewa; Andrey Kuznetsov; Louis H Philipson; Norbert F Scherer Journal: Rev Sci Instrum Date: 2017-05 Impact factor: 1.523
Authors: Isabel I C Low; Claire R Williams; Megan K Chong; Ian G McLachlan; Bradley M Wierbowski; Irina Kolotuev; Maxwell G Heiman Journal: Development Date: 2019-02-20 Impact factor: 6.868
Authors: Matthew P Klassen; Ye E Wu; Celine I Maeder; Isei Nakae; Juan G Cueva; Emily K Lehrman; Minoru Tada; Keiko Gengyo-Ando; George J Wang; Miriam Goodman; Shohei Mitani; Kenji Kontani; Toshiaki Katada; Kang Shen Journal: Neuron Date: 2010-06-10 Impact factor: 17.173