ZFP36L1 Knockout MAC-T Cell Line
Cat.No.:
EDC07931
Species:
Bovine
Cell Name:
MAC-T
Gene:
ZFP36L1
Gene ID:
614773
Size:
1×10⁶cells
ZFP36L1 Knockout MAC-T Cell Line is an exclusive upgraded CRISPR/Cas9 system-mediated gene knockout cell, with the advantages of Optimized Strategy Design, Efficient Cell Transfection, High-Performotion Cas9 Protein and Hassle-Free Cell Selection.
| Cat.No. | EDC07931 |
|---|---|
| Product Name | ZFP36L1 Knockout MAC-T Cell Line |
| Species | Bovine |
| Cell Line | MAC-T |
| Cellosaurus ID | CVCL_U226 |
| Cell Line Synonyms | Mac-T, MacT, MAC-T3, Mammary Alveolar Cells-large T antigen |
| Gene | |
| NCBI Gene ID | |
| Associated Diseases | Non-tumor |
| Digestion Time | 2~3 min |
| Morphology | Adherent |
| Passage Ratio | 1:5, 2 days |
| Complete Culture Medium | 1640+10% FBS |
| Freezing Medium | 70% complete culture medium+20% FBS+10% DMSO |
* For research use only. Not intended for use in humans or animals, including clinical, therapeutic, or diagnostic purposes.
FAQ
What are the application scenarios for this model?
Primary applications:
• mRNA stability assays: actinomycin D chase experiments to measure half-life changes in ARE-containing candidate transcripts upon ZFP36L1 loss.
• Transcriptome-wide profiling: RNA-seq to systematically identify transcripts that accumulate in the knockout, providing an unbiased basis for candidate prioritization.
• Mammary differentiation studies: assays examining lactogenic differentiation markers and milk protein gene expression regulation.
• Inflammatory response studies: cytokine stimulation experiments to assess ZFP36L1's role in controlling inflammatory transcript stability in a mammary epithelial context.
EDITGENE recommends this model for researchers investigating post-transcriptional gene regulation, ARE-mediated mRNA decay, and bovine mammary biology.
Is this ZFP36L1 Knockout MAC-T Cell Line compatible with overexpression rescue experiments?
Yes. ZFP36L1 rescue experiments require attention to RNA-binding activity and paralog competition:
• Construct design: use a codon-modified ZFP36L1 sequence. Either N- or C-terminal small tags (HA, FLAG) are tolerated; avoid large fusion tags that may interfere with RNA binding or AU-rich element recognition.
• Zinc finger mutant rescue: a CCCH zinc finger RNA-binding-defective mutant is the critical specificity control for ZFP36L1 — it distinguishes phenotypes dependent on direct mRNA binding from those mediated by other protein interactions.
• Paralog considerations: ZFP36L1 has functional overlap with ZFP36 (TTP) and ZFP36L2. If endogenous paralogs are expressed in MAC-T at relevant levels, rescue interpretation should account for partial functional redundancy.
• Bovine-specific considerations: MAC-T is a bovine cell line; standard human/murine expression vectors are functional but bovine-codon-optimized constructs can improve expression. Lentiviral transduction works well in MAC-T with standard mammalian promoters (CMV, EF1α).
• Functional readout: rescue should restore both transcriptome-wide ARE-transcript decay patterns and specific phenotypic outputs (differentiation markers, inflammatory gene expression).
Which is better for studying ZFP36L1 function, ZFP36L1 Knockout MAC-T Cell Line or ZFP36L1 overexpression MAC-T Cell Line?
The choice depends on whether you are asking what ZFP36L1 normally destabilizes in the mammary epithelial context, or whether forced ZFP36L1 expression is sufficient to drive enhanced decay of candidate ARE-containing transcripts. The Knockout line reveals the endogenous regulatory landscape — which transcripts accumulate when ZFP36L1 is absent. Overexpression tests sufficiency for accelerating decay or for outcompeting other ARE-binding proteins.
For post-transcriptional regulation studies, the EDITGENE Knockout line typically gives more interpretable results because ARE-binding protein competition (with TTP, ZFP36L2) complicates overexpression readouts. Rescue experiments with wild-type or zinc finger mutant ZFP36L1 are essential for assigning observed effects to RNA-binding activity rather than other protein domains.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.
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