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Addgene

pAAV-CaMKII-STChRger2-TS-EYFP
(Plasmid #129393)

Ordering

This material is available to academics and nonprofits only.
Item Catalog # Description Quantity Price (USD)
Plasmid 129393 Standard format: Plasmid sent in bacteria as agar stab 1 $85

Backbone

  • Vector backbone
    pAAV CaMKIIa WPRE pA
  • Backbone size w/o insert (bp) 5076
  • Total vector size (bp) 7125
  • Vector type
    Mammalian Expression, AAV

Growth in Bacteria

  • Bacterial Resistance(s)
    Ampicillin, 100 μg/mL
  • Growth Temperature
    30°C
  • Growth Strain(s)
    NEB Stable
  • Copy number
    High Copy

Gene/Insert

  • Gene/Insert name
    soma targeted ChRger2
  • Alt name
    STChRger2
  • Insert Size (bp)
    2049
  • Promoter CaMKIIa
  • Tag / Fusion Protein
    • Kv2.1-TS-EYFP (C terminal on insert)

Cloning Information

  • Cloning method Ligation Independent Cloning
  • 5′ sequencing primer GcttcgttacGCCgagtgg
  • 3′ sequencing primer CATAGCGTAAAAGGAGCAACA
  • (Common Sequencing Primers)

Resource Information

Terms and Licenses

  • Academic/Nonprofit Terms
  • Industry Terms
    • Not Available to Industry
Trademarks:
  • Zeocin® is an InvivoGen trademark.

Depositor Comments

Addgene NGS results detect a mixed population at base 2849 (T/G), which could result in a D21Y variant in EYFP. This construct fluoresces as expected.

Depositor has evidence that soma-targeted constructs may have different optical properties from their parent ChRgers and they have not been fully characterized. Users should be aware that they are beta-testing.

How to cite this plasmid ( Back to top)

These plasmids were created by your colleagues. Please acknowledge the Principal Investigator, cite the article in which the plasmids were described, and include Addgene in the Materials and Methods of your future publications.

  • For your Materials & Methods section:

    pAAV-CaMKII-STChRger2-TS-EYFP was a gift from Viviana Gradinaru (Addgene plasmid # 129393 ; http://n2t.net/addgene:129393 ; RRID:Addgene_129393)
  • For your References section:

    Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics. Bedbrook CN, Yang KK, Robinson JE, Mackey ED, Gradinaru V, Arnold FH. Nat Methods. 2019 Oct 14. pii: 10.1038/s41592-019-0583-8. doi: 10.1038/s41592-019-0583-8. 10.1038/s41592-019-0583-8 PubMed 31611694