scholarly journals Rapid estimation of cytosolic ATP concentration from the ciliary beating frequency in the green alga Chlamydomonas reinhardtii

2020 ◽  
pp. jbc.RA120.015263
Author(s):  
Wakako Takano ◽  
Toru Hisabori ◽  
Ken-ichi Wakabayashi
Keyword(s):  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
Rapid Estimation ◽  
Ciliary Beating ◽  
Atp Production ◽  
Key Indicator ◽  
Atp Levels ◽  
Atp Concentration ◽  
Beating Frequency

Determination of cellular ATP levels, a key indicator of metabolic status, is essential for the quantitative analysis of metabolism. The biciliate green alga Chlamydomonas reinhardtii is an excellent experimental organism to study ATP production pathways, including photosynthesis and respiration, particularly because it can be cultured either photoautotrophically or heterotrophically. Additionally, its cellular ATP concentration, [ATP], is reflected in the beating of its cilia. However, the methods currently used for quantifying the cellular ATP levels are time-consuming or invasive. In this study, we established a rapid method for estimating cytosolic [ATP] from the ciliary beating frequency (CBF) in C. reinhardtii. Using an improved method of motility reactivation in demembranated cell models, we obtained calibration curves for [ATP]-CBF over a physiological range of ATP concentrations. These curves allowed rapid estimation of the cytosolic [ATP] in live wild-type cells to be ~2.0 mM in the light and ~1.5 mM in the dark: values comparable to those obtained by other methods. Furthermore, we used this method to assess the effects of genetic mutations or inhibitors of photosynthesis or respiration quantitatively and non-invasively. This sensor-free method is a convenient tool for quickly estimating cytosolic [ATP] and studying the mechanism of ATP production in C. reinhardtii or other ciliated organisms.

Quantitative Determination of Ascorbate from the Green Alga Chlamydomonas reinhardtii by HPLC

BIO-PROTOCOL ◽  
2016 ◽  
Vol 6 (24) ◽  
Author(s):  
László Kovács ◽  
André Vidal-Meireles ◽  
Valéria Nagy ◽  
Szilvia Tóth
Keyword(s):  
Quantitative Determination ◽  
Chlamydomonas Reinhardtii ◽  
Green Alga

scholarly journals Basis for the phototaxis sign reversal in the green alga Chlamydomonas reinhardtii studied by high-speed observation

2020 ◽  
Author(s):  
Masako Nakajima ◽  
Kosuke Iizuka ◽  
Noriko Ueki ◽  
Atsuko Isu ◽  
Kenjiro Yoshimura ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
High Speed ◽  
Single Equation ◽  
High Speed Camera ◽  
Negative Phototaxis ◽  
Key Factors ◽  
Sign Reversal ◽  
Ciliary Beating

ABSTRACTFor organisms that respond to environmental stimuli using taxes, reversal of the tactic sign should be tightly regulated for survival. The biciliate green alga Chlamydomonas reinhardtii is an excellent model for studying reversal between positive and negative phototaxis. C. reinhardtii cells change swimming direction by modulating the balance of beating forces between their two cilia after photoreception at the eyespot; however, it remains unknown how they reverse phototactic sign. In this study, we observed cells undergoing phototactic turns with a high-speed camera and found that two key factors determine the phototactic sign: which of the two cilia beats stronger for phototactic turning and when the strong beating starts. We developed a mathematical model to explain this sign-reversal with a single equation, which suggests that the timing of the strong ciliary beating is regulated by switching between the light-on and light-off responses at the eyespot.

scholarly journals Photosymbiose — neuartige Anwendungen in der Biomedizin

BIOspektrum ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 202-204
Author(s):  
Myra N. Chávez ◽  
Benedikt Fuchs ◽  
Jörg Nickelsen
Keyword(s):  
Tissue Engineering ◽  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
Recombinant Proteins ◽  
Biomedical Devices ◽  
Unicellular Green Alga ◽  
Surgical Sutures ◽  
Novel Strategy ◽  
Clinical Problems

AbstractWe have recently proposed a novel strategy named photosynthetic tissue engineering to overcome clinical problems due to hypoxia. The idea is based on transgenic photoautotrophic microorganisms that produce oxygen and at the same time secrete functional recombinant proteins into tissues. In particular, the unicellular green alga Chlamydomonas reinhardtii has successfully been used to boost the regenerative potential of several biomedical devices, such as dermal scaffolds and surgical sutures.

scholarly journals Characterization and primary structure of a second thioredoxin from the green alga, Chlamydomonas reinhardtii

1991 ◽  
Vol 198 (2) ◽  
pp. 505-512 ◽  
Author(s):  
Paulette DECOTTIGNIES ◽  
Jean-Marie SCHMITTER ◽  
Sophie DUTKA ◽  
Jean-Pierre JACQUOT ◽  
Myroslawa MIGINIAC-MASLOW
Keyword(s):  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
Primary Structure

A rapid, modular and marker-free chloroplast expression system for the green alga Chlamydomonas reinhardtii

2015 ◽  
Vol 195 ◽  
pp. 60-66 ◽  
Author(s):  
Ivo Bertalan ◽  
Matthias C. Munder ◽  
Caroline Weiß ◽  
Judith Kopf ◽  
Dirk Fischer ◽  
...  
Keyword(s):  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
Expression System ◽  
Marker Free

scholarly journals Determination of Transformers’ Insulating Paper State Based on Classification Techniques

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 427 ◽  
Author(s):  
Sherif S. M. Ghoneim
Keyword(s):  
Prediction Model ◽  
Power Flow ◽  
Degree Of Polymerization ◽  
Classification Techniques ◽  
Aging Rate ◽  
Insulating Oil ◽  
Insulating Paper ◽  
Key Indicator ◽  
Carbon Dioxide Co2

The continuity of transformer operation is very necessary for utilities to maintain a continuity of power flow in networks and achieve a desired revenue. Most failures in a transformer are due to the degradation of the insulating system, which consists of insulating oil and paper. The degree of polymerization (DP) is a key detector of insulating paper state. Most research in the literature has computed the DP as a function of furan compounds, especially 2-furfuraldehyde (2-FAL). In this research, a prediction model was constructed based on some of most periodical tests that were conducted on transformer insulating oil, which were used as predictors of the insulating paper state. The tests evaluated carbon monoxide (CO), carbon dioxide (CO2), breakdown voltage (VBD), interfacial tension (IF), acidity (ACY), moisture (M), oil color (OC), and 2-furfuraldehyde (2-FAL). The DP, which was used as the key indicator for the paper state, was categorized into five classes labeled 1, 2, 3, 4, and 5 to express the insulating paper normal aging rate, accelerating aging rate, excessive aging danger zone, high risk of failure, and the end of expected life, respectively. The classification techniques were applied to the collected data samples to construct a prediction model for the insulating paper state, and the results revealed that the fine tree was the best classifier of the data samples, with a 96.2% prediction accuracy.

Use of plant chloroplast RNA-binding proteins as orthogonal activators of chloroplast transgenes in the green alga Chlamydomonas reinhardtii

2021 ◽  
Vol 60 ◽  
pp. 102535
Author(s):  
Noam Shahar ◽  
Tamar Elman ◽  
Rosalind Williams-Carrier ◽  
Oren Ben-Zvi ◽  
Iftach Yacoby ◽  
...  
Keyword(s):  
Chlamydomonas Reinhardtii ◽  
Green Alga ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Plant Chloroplast ◽  
Chloroplast Rna
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