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Camkii tta

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CaMKII-tTA is a lab equipment product that functions as a calcium/calmodulin-dependent protein kinase II (CaMKII) alpha subunit. It serves as a tool for research applications involving the study of CaMKII signaling pathways.

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Lab products found in correlation

Tre gcamp6s, by Jackson ImmunoResearch (3 mentions) Vgat chr2 eyfp, by Jackson ImmunoResearch (2 mentions) Tre gcamp6s line g6s2, by Jackson ImmunoResearch (1 mentions) C57bl 6j, by Charles River Laboratories (1 mentions)

5 protocols using camkii tta

1

Genetically Encoded Calcium Imaging in Mice

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All procedures were approved by UCLA’s Office of Animal Research Oversight (the Institutional Animal Care and Use Committee) and were in accord with guidelines set by the U.S. National Institutes of Health. A total of six mice, male (2) and female (4), aged P35–56, were used. All these animals were from a cross between TRE-GCaMP6s line G6s2 (Jackson Lab, https://www.jax.org/strain/024742) and CaMKII-tTA (https://www.jax.org/strain/007004) where GCaMP6s is regulated by the tetracycline-responsive regulatory element (tetO). Mice were housed in groups of 2–3, in a protocol with reversed light cycle.
Tring E., Duan K.K, & Ringach D.L. (2022). ON/OFF domains shape receptive field structure in mouse visual cortex. Nature Communications, 13, 2466.
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2

Transgenic Mouse Imaging in Forebrain

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Imaging was performed on mice expressing GCaMP6S in excitatory neurons in forebrain. The CaMKII-tTA (stock no. 007004) and TRE-GCaMP6s (stock no. 024742) transgenic mouse lines were obtained from Jackson Labs [20 (link),51 (link)]. Mice were genotyped with primer sets suggested by Jackson Labs.
Brown T.C, & McGee A.W. (2023). Monocular deprivation during the critical period alters neuronal tuning and the composition of visual circuitry. PLOS Biology, 21(4), e3002096.
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3

Calcium Imaging of Excitatory Neurons in Mice

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Subjects were three female mice expressing the calcium-sensitive protein GCaMP6s in excitatory neurons, derived by mating the floxed Ai94(TITL-GCaMP6s)-D line (Jackson Laboratories; stock number 024742) with the CamKII-tta (Jackson Laboratories; stock number 003010). Animal husbandry and experimental procedures were approved and conducted in accordance with the United Kingdom Animals (Scientific Procedures) Act 1986 under project licence P8E8BBDAD and personal licences from the Home Office.
Akam T., Lustig A., Rowland J.M., Kapanaiah S.K., Esteve-Agraz J., Panniello M., Márquez C., Kohl M.M., Kätzel D., Costa R.M, & Walton M.E. (2022). Open-source, Python-based, hardware and software for controlling behavioural neuroscience experiments. eLife, 11, e67846.
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4

Transgenic Mice for Optogenetic Neural Imaging

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All procedures were in accordance with the Institutional Animal Care and Use Committee at Nanyang Technological University. Transgenic mice were obtained from the Jackson Laboratory (CaMKII-tTA: 007004; TRE-GCaMP6s: 024742; VGAT-ChR2-EYFP: 014548). Mice were housed in a reversed light cycle (12 h:12 h) in standard cages at around 21 °C and 62% humidity and experiments were generally performed during the dark period. Both male and female hemizygous mice were used. Sample size was determined based on previous studies17 (link),39 (link),53 (link).
Chia X.W., Tan J.K., Ang L.F., Kamigaki T, & Makino H. (2023). Emergence of cortical network motifs for short-term memory during learning. Nature Communications, 14, 6869.
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5

Optogenetic Manipulation of Neuronal Activity

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All procedures were in accordance with the Institutional Animal Care and Use Committee at Nanyang Technological University (protocol number: A0352). Wild-type (C57BL/6J) and transgenic mice were obtained from Charles River Laboratories and the Jackson Laboratory (CaMKII-tTA: 007004; TRE-GCaMP6s: 024742; VGAT-ChR2-EYFP: 014548), respectively. Mice were housed in a reversed light cycle (12 hours:12 hours) in standard cages, and the experiments were typically performed during the dark period. Both male and female hemizygous mice were used. Sample size was determined on the basis of the standard in the field. Mice were randomly allocated to each group, and no blinding was performed.
Suhaimi A., Lim A.W., Chia X.W., Li C, & Makino H. (2022). Representation learning in the artificial and biological neural networks underlying sensorimotor integration. Science Advances, 8(22), eabn0984.
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