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CRISPR-U™ Gene Knockout Cell Line Strategy

MANF Gene Knockout Strategy

CRISPR-U™ technology (CRISPR based), developed by Ubigene, is more efficient than general CRISPR/Cas9 technology in double-strand breaking and homologous recombination. With CRISPR-U™, Ubigene has successfully edited over 3000 genes on more than 200 types of cell lines.
Objective
To create a Human MANF Knockout model in cell line by CRISPR-U™-mediated genome engineering.
Target gene info
Official symbol
MANF
Gene id
7873
Organism
Homo sapiens
Gene type
protein-coding
Official full symbol
mesencephalic astrocyte derived neurotrophic factor
Also known as
ARMET, ARP
Genomic regions
Chromosome 3
Summary
The protein encoded by this gene is localized in the endoplasmic reticulum (ER) and golgi, and is also secreted. Reducing expression of this gene increases susceptibility to ER stress-induced death and results in cell proliferation. Activity of this protein is important in promoting the survival of dopaminergic neurons. The presence of polymorphisms in the N-terminal arginine-rich region, including a specific mutation that changes an ATG start codon to AGG, have been reported in a variety of solid tumors; however, these polymorphisms were later shown to exist in normal tissues and are thus no longer thought to be tumor-related.
Strategy Summary
This gene has 0 protein coding transcripts:
Frame-shift
Fragment A
Fragment B
Strategy

Project Comprehensive Difficulty Assessment

According to the Red Cotton database: the CRISPR gene-editing strategy design is Unknown.
Knockout project comprehensive difficulty is thus assessed as Unknown.
Red Cotton™ Notes Gene MANF had been KO in hek293t cell line.
EZ-editor™ Gene Dependency
EZ-editor™ Gene Expression Level
EZ-editor™ Gene Copy Number

EZ-editor™ Gene Dependency

Result

The MANF gene you inquire is evaluated as high risk in 33% cell line. Cell line is not selected, unable to assess the accurate risk level, for reference only.

Gene lethality score

Dependent Cell Lines Gene Dependency 0 0.5 1

Lethality score of MANF in different cells

32.6%>0.5
All cells
0
Non-essential gene
0.5
Boundary score
1
Essential gene

EZ-editor™ Gene Expression Level

Result

In all cell lines, there is 0.1% cells with expression level below cutoff, 0.1% cells with low expression level, 99.6% cells with medium expression level, 0.1% cells with high expression level of MANF gene. Cell line is not selected, unable to assess the accurate expression level, for reference only.

Gene Expression

Cell Lines Frequency log2(TPM+1) 0 2 4 6 8 10 12

TPM of MANF in different cells

0.1%0.1%99.6%0.1%
All cells
0~0.5
Below cutoff
0.5~10
Low
10~1000
Medium
>1000
High

EZ-editor™ Gene Copy Number

Result

In all cell lines, there is 76.4% cells with low copy number, 21.7% cells with medium copy number, 1.9% cells with high copy number of MANF gene. Cell line is not selected, unable to assess the accurate copy number, for reference only.

Gene Copy Number

Copy number 0 1 2 3 4 5 6 7 0 100 200 300 400 500 600 700Cell Lines

Copy number of MANF in different cells

76.4%21.7%1.9%
All cells
0~2
Low
2~4
Medium
>4
High
Work flow
Ubigene Red Cotton Workflow

Ubigene - Make genome editing easier

Ubigene is an international high-technology enterprise focused on gene-editing cells. Our exclusive CRISPR-U™ technology has 10-20 times more efficient editing than traditional methods, easily achieving gene knockout, point mutation, and knock-in. Based on CRISPR-U™ technology, Ubigene has accumulated over 6000 successful gene-editing cases from more than 300 cell lines including iPSC and ESC, and has established a KO Cell Line Bank with 4500+ KO cell lines and Red Cotton™ gRNA Plasmid Bank with 10000+ gRNA plasmids available in stock.

Ubigene focuses on technological innovation and product development, of which EZ-editor™ series products that cover the whole workflow of gene-editing keep improving. Ubigene will move on toward our goal of "Make genome editing easier" and we won't stop!

Cell products

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红棉系统新技能上线啦!基因风险评估:“火眼金睛”辨基因,致死风险一秒知。评估结果可在Red Cotton Assessment模块查看哦。