RXRA Knockout A-549 Cell Line

RXRA Knockout A-549 Cell Line
15% OFF
Cat.No.:

EDC08207

Species:

Human

Cell Name:

A-549

Gene:

RXRA

Gene ID:

6256

Size:

1×10⁶cells

RXRA Knockout Cell Line (A549) is an exclusive upgraded CRISPR/Cas9 system-mediated gene knockout cell, with the advantages of Optimized Strategy Design, Efficient Cell Transfection, High-Performance Cas9 Protein and Hassle-Free Cell Selection.
Cat.No. EDC08207
Product Name RXRA Knockout A549 Cell Line
Cell Line A-549
Cellosaurus ID CVCL_0023
Cell Line Synonyms A 549, A549, NCI-A549, A549/ATCC, A549 ATCC, A549ATCC, hA549
Gene RXRA
NCBI Gene ID
Gene Synonyms NR2B1|RXR-alpha|RXRalpha
Summary
Retinoid X receptors (RXRs) and retinoic acid receptors (RARs) are nuclear receptors that mediate the biological effects of retinoids by their involvement in retinoic acid-mediated gene activation. These receptors function as transcription factors by binding as homodimers or heterodimers to specific sequences in the promoters of target genes. The protein encoded by this gene is a member of the steroid and thyroid hormone receptor superfamily of transcriptional regulators. Alternative splicing of this gene results in multiple transcript variants. [provided by RefSeq, May 2014]
Associated Diseases Non-Small Cell Lung Carcinoma
Morphology Adherent
Passage Ratio 1/5-1/4 ,2days
Complete Culture Medium F-12K + 10% FBS
Freezing Medium 95% Complete culture medium + 5% DMSO
QC Indels validated by Sanger sequencing; sterility confirmed via microbial testing.
* For research use only. Not intended for use in humans or animals, including clinical, therapeutic, or diagnostic purposes.
LociSTR Info (Sample Cell)
Sample Cell Line: A-549
STR Info (Cell bank)
Cell Line: A-549
Allele1Allele2Allele1Allele2
Amelogenin X Y X Y
CSF1PO 10 12 10 12
D2S1338 24 24
D3S1358 16 16
D5S818 11 11
D7S820 8 11 8 11
D8S1179 13 14 13 14
D13S317 11 11
D16S539 11 12 11 12
D18S51 14 17 14 17
D19S433 13 13
D21S11 29 29
FGA 23 23
Penta D 9 9
Penta E 7 11 7 11
TH01 8 9.3 8 9.3
TPOX 8 11 8 11
vWA 14 14
D6S1043 11 13
D12S391 18 18
D2S441 10 13 10 13
* STR authentication data of this cell line matches with that of cell lines sourced from ATCC, DSMZ, JCRB, and RIKEN databases.
Conclusion: The STR identification of this cell is correct.

FAQ

The choice depends on whether you are studying RXRA's role as the dominant retinoid X receptor in most tissues or its specific contributions distinct from RXRB and RXRG. The Knockout line is appropriate for asking whether RXRA is required for nuclear receptor signaling — RXRA is the most broadly expressed RXR paralog and the principal heterodimerization partner for RAR, PPAR, LXR, FXR, VDR, TR, and other partner receptors in most cellular contexts. Overexpression is useful for studying RXRA gain-of-function or for testing rexinoid pharmacology. Important consideration: RXRA, RXRB, and RXRG have substantial functional overlap as heterodimer partners. Single RXRA knockout in A-549 may show partial phenotypes if RXRB compensates — RXRG is typically less expressed in non-hematopoietic and non-neural tissues. For lung cancer nuclear receptor research, the EDITGENE RXRA Knockout in A-549 is informative for studies focused on RXRA-specific contributions to lung cancer biology and retinoid signaling. This product complements the parallel RXRB Knockout in HAP1 and the RXRA & RXRB Double Knockout in A-549; the single RXRA knockout in A-549 enables direct paralog-specific functional comparisons within the same lung cancer background. Rescue with wild-type or DNA-binding/ligand-binding-deficient RXRA enables structure-function studies.
Primary applications: • RXRA-specific transcriptional dependencies: identification of nuclear receptor partner-driven gene programs uniquely dependent on RXRA versus RXRB through comparative analyses with the parallel RXRB Knockout in HAP1. • Lung cancer biology: retinoid-induced differentiation, proliferation, and EMT phenotypes given RAR-RXRA signaling's documented role in lung cancer biology and chemoprevention research. • Bexarotene/rexinoid response: critical genetic control for testing RXR-targeted compounds in lung cancer contexts — bexarotene (Targretin) and emerging RXR-selective agonists are being investigated for NSCLC. • Paralog dissection comparison: side-by-side comparison with RXRA & RXRB Double Knockout in A-549 (also available) reveals which phenotypes require both paralogs versus RXRA alone. EDITGENE recommends this model for researchers investigating RXRA-specific nuclear receptor signaling, lung cancer retinoid biology, and rexinoid pharmacology in a defined lung cancer background.
Yes. RXRA rescue experiments require attention to multi-domain nuclear receptor architecture and paralog considerations: • Construct design: use a codon-modified RXRA sequence with a small C-terminal tag (FLAG, HA). RXRA has the canonical nuclear receptor architecture (N-terminal A/B with AF-1, DNA-binding C domain, hinge D, ligand-binding E domain with AF-2) — preserve all elements. • DNA-binding-deficient rescue: zinc finger DBD mutations (e.g., conserved C-to-S substitutions) abolish DR-element binding and serve as the standard specificity control for transcription-dependent functions. • Ligand-binding-deficient rescue: LBD mutations affecting 9-cis-retinoic acid or rexinoid binding enable distinguishing ligand-dependent from constitutive activities — useful for separating bexarotene-induced effects from baseline RXRA function. • Paralog considerations: RXRB expression status in rescue cells aids interpretation given functional redundancy. For comprehensive paralog dissection, single-RXRA rescue in the RXRA & RXRB Double Knockout (also available in A-549) provides cleaner readouts than rescue in this single-RXRA knockout. • Functional readout: rescue should restore RAR-RXR retinoid signaling (DR5 reporter), PPAR-RXR lipid metabolism signaling (DR1 reporter), and target gene expression in lung cancer-relevant contexts. A-549 transduces efficiently with lentivirus and supports stable rescue line generation in the same lung cancer background as the RXRB and double-knockout products, enabling rigorous comparative analysis across the three-line series.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.

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