Academic Journal

Drosophila Models Rediscovered with Super-Resolution Microscopy

التفاصيل البيبلوغرافية
العنوان: Drosophila Models Rediscovered with Super-Resolution Microscopy
المؤلفون: Szilárd Szikora, Péter Görög, Csaba Kozma, József Mihály
المصدر: Cells; Volume 10; Issue 8; Pages: 1924
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2021
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: nanoscopy, super-resolution microscopy, SIM, STED, SMLM, Drosophila, active zone, centrosome, sarcomere
الوصف: With the advent of super-resolution microscopy, we gained a powerful toolbox to bridge the gap between the cellular- and molecular-level analysis of living organisms. Although nanoscopy is broadly applicable, classical model organisms, such as fruit flies, worms and mice, remained the leading subjects because combining the strength of sophisticated genetics, biochemistry and electrophysiology with the unparalleled resolution provided by super-resolution imaging appears as one of the most efficient approaches to understanding the basic cell biological questions and the molecular complexity of life. Here, we summarize the major nanoscopic techniques and illustrate how these approaches were used in Drosophila model systems to revisit a series of well-known cell biological phenomena. These investigations clearly demonstrate that instead of simply achieving an improvement in image quality, nanoscopy goes far beyond with its immense potential to discover novel structural and mechanistic aspects. With the examples of synaptic active zones, centrosomes and sarcomeres, we will explain the instrumental role of super-resolution imaging pioneered in Drosophila in understanding fundamental subcellular constituents.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Cell and Gene Therapy; https://dx.doi.org/10.3390/cells10081924
DOI: 10.3390/cells10081924
الاتاحة: https://doi.org/10.3390/cells10081924
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.F4679139
قاعدة البيانات: BASE