PEX14 Knockout HEK293 Cell Line
Cat.No.:
EDJ-KQ3349
Species:
Human
Cell Name:
HEK293
Gene:
PEX14
Gene ID:
5195
Size:
1×10⁶cells
PEX14 Knockout Cell Line (HEK293) 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. | EDJ-KQ3349 |
|---|---|
| Product Name | PEX14 Knockout Cell Line (HEK293) |
| Cell Line | HEK293 |
| Cellosaurus ID | CVCL_0045 |
| Cell Line Synonyms | Hek293, HEK-293, HEK/293, (HEK)293, HEK 293, HEK,293, 293, 293 HEK, 293 Ad5, Graham 293, Graham-293, Human Embryonic Kidney 293 |
| Gene | |
| NCBI Gene ID | |
| Gene Synonyms | NAPP2|PBD13A|Pex14p|dJ734G22.2 |
| Summary |
This gene encodes an essential component of the peroxisomal import machinery. The protein is integrated into peroxisome membranes with its C-terminus exposed to the cytosol, and interacts with the cytosolic receptor for proteins containing a PTS1 peroxisomal targeting signal. The protein also functions as a transcriptional corepressor and interacts with a histone deacetylase. A mutation in this gene results in one form of Zellweger syndrome. [provided by RefSeq, Jul 2008]
|
| Associated Diseases | Non-tumor |
| Morphology | Adherent |
| Passage Ratio | 1/5,2days |
| Complete Culture Medium | DMEM + 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.
| Loci | STR Info (Sample Cell) Sample Cell Line: HEK293 | STR Info (Cell bank) Cell Line: HEK293 | ||
| Allele1 | Allele2 | Allele1 | Allele2 | |
| Amelogenin | X | X | ||
| CSF1P0 | 12 | 11 | 12 | |
| D2S1338 | 19 | 19 | ||
| D3S1358 | 15 | 17 | 15 | 17 |
| D5S818 | 8 | 8 | 9 | |
| D7S820 | 11 | 12 | 11 | 12 |
| D8S1179 | 12 | 14 | 12 | 14 |
| D13S317 | 12 | 14 | 12 | 14 |
| D16S539 | 9 | 13 | 9 | 13 |
| D18S51 | 17 | 18 | 17 | 18 |
| D19S433 | 15 | 18 | 15 | 18 |
| D21S11 | 28 | 30.2 | 28 | 30.2 |
| FGA | 23 | 23 | ||
| Penta D | 9 | 10 | 9 | 10 |
| Penta E | 7 | 15 | 7 | 15 |
| TH01 | 7 | 9.3 | 7 | 9.3 |
| TPOX | 11 | 11 | ||
| vWA | 16 | 19 | 16 | 19 |
| D6S1043 | 11 | 11 | ||
| D12S391 | 19 | 21 | 11 | 15 |
| D2S441 | 11 | 15 | 11 | 15 |
* 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.
Conclusion: The STR identification of this cell is correct.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.
Research Publications
Quantitative analysis of peroxisome tracks using a Hidden Markov Model.
IF=3.9
Scientific reports
Diffusion and mobility are essential for cellular functions, as molecules are usually distributed throughout the cell and have to meet to interact and perform their function. This also involves the cytosolic migration of cellular organelles. However, observing such diffusion and interaction dynamics is challenging due to the high spatial and temporal resolution required and the accurate analysis of the diffusional tracks. The latter is especially important when identifying anomalous diffusion events, such as directed motions, which are often rare. Here, we investigate the migration modes of peroxisome organelles in the cytosol of living cells. Peroxisomes predominantly migrate randomly, but occasionally they bind to the cell's microtubular network and perform directed migration, which is difficult to quantify, and so far, accurate analysis of switching between these migration modes is missing. We set out to solve this limitation by experiments and analysis with high statistical accuracy. Specifically, we collect temporal diffusion tracks of thousands of individual peroxisomes in the HEK 293 cell line using two-dimensional spinning disc fluorescence microscopy at a high acquisition rate of 10 frames/s. We use a Hidden Markov Model with two hidden states to (1) automatically identify directed migration segments of the tracks and (2) quantify the migration properties for comparison between states and between different experimental conditions. Comparing different cellular conditions, we show that the knockout of the peroxisomal membrane protein PEX14 leads to a decrease in the directed movement due to a lowered binding probability to the microtubule. However, it does not eradicate binding, highlighting further microtubule-binding mechanisms of peroxisomes than via PEX14. In contrast, structural changes of the microtubular network explain perceived eradication of directed movement by disassembly of microtubules by Nocodazole-treatment.
This KO model may be useful for:
- Analysis of peroxisome-microtubule binding mechanisms and directed migration dynamics
- Dissecting PEX14-dependent versus PEX14-independent peroxisome tethering to the cytoskeleton
- Quantitative tracking of organelle diffusion states using Hidden Markov Models
- Investigating the role of peroxisomal membrane proteins in intracellular transport and spatial distribution
- Studying the impact of microtubule network integrity on peroxisome motility in live-cell imaging assays