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Description
Gene fusion refers to connecting the coding regions of two or more genes end to end and placing them under the control of the same set of regulatory sequences (including promoters, enhancers and terminators, etc.) to form a chimeric gene. Gene fusion is usually caused by chromosome rearrangement. Abnormal gene fusion events can cause malignant blood diseases and tumors, so analyzing the gene fusion phenomenon will help explore the pathogenesis, biomaker screening, etc., which is of great clinical significance.
There are three main mechanisms for gene fusion, as shown in the following figure:
There are three common mechanisms of gene fusion:
1) Chromosomal Translocation. As shown in Figure A above, the two segments on chromosomes 1 and 2 cross and exchange, resulting in the fusion of the light green gene on chromosome 1 and the orange gene on chromosome 2;
2) Interstitial deletion. As shown in the figure above, the segment between the orange gene and the light green gene on chromosome 3 is deleted, eventually resulting in the fusion of the two genes;
3) Chromosomal Inversion. For example, the segment between the orange gene and the dark green gene on chromosome 4 is inverted, eventually resulting in the fusion of the orange gene and the light green gene.
General information
Name | Panel-Ref® RNA-Fusion Cocktail Control |
Cat. No. | CBP90001 |
Format | RNA |
Buffer | RNase-free H2O |
Conc.(Qubit3.0) | 60ng/uL |
OD260/OD280(1.8~2.1) | 1.98 |
RNQ Value(>9 (Qsep) | >9 |
Copy Number(DdPCR) | Below |
Description | RNA containing 11 fusion mutations, all quantified by dPCR |
Size | 1ug |
Intended Use | Research Use Only |
Storage Conditions | -90℃~70℃ |
Expiry | 12 months from the date of manufacture |
Detection Methods
The identification of gene fusion can be based on whole-genome sequencing data (WGS), transcriptome sequencing data (RNA-seq), or a combination of the two technologies.
Gene fusions identified by whole-genome sequencing can basically be determined to be caused by some mutations at the genomic level, but without transcriptome sequencing data, it is impossible to accurately determine whether the new gene produced after the fusion can be expressed, or the level of expression.
Gene fusions identified by transcriptome sequencing data can clearly be expressed gene fusions, but it is impossible to completely determine whether they are caused by genomic mutations or RNA fusions after transcription of two different genes.
Therefore, if conditions permit, combining whole-genome sequencing (WGS, or panel) and transcriptome sequencing (RNA-seq) to identify gene fusions can obtain more accurate identification results.
Detailed Data
Name | Left Gene | Left Breakpoint | Right Gene | Right Breakpoint | Copies/ng |
CCDC6-RET Fusion (E1-E12) | CCDC6(E1) | chr10:61665880:- | RET(E12) | chr10:43612032:+ | COA download |
EML4-ALK Fusion (E13-E20) | EML4(E13) | chr2:42522656:+ | ALK(A20) | chr2:29446394:- | COA download |
ETV6-NTRK3 Fusion (E5-E15) | ETV6(E5) | chr12:12022903:+ | NTRK3(E15) | chr15:88483984:- | COA download |
KIF5B-RET Fusion (E15-E12) | KIF5B(E15) | chr10:32317356:- | RET(E12) | chr10:43612032:+ | COA download |
NPM1-ALK Fusion (E4-E20) | NPM1(E4) | chr5:170818803:+ | ALK(E20) | chr2:29446394:- | COA download |
SLC34A2-ROS1 Fusion (E4-E32) | SLC34A2(E4) | chr4:25665952:+ | ROS1(E32) | chr6:117650609:- | COA download |
TPM3-NTRK1 Fusion (E7-E9) | TPM3(E7) | chr1:154142876:- | NTRK1(E9) | chr1:156844363:+ | COA download |
FGFR3-TACC3 (E17-E11) | FGFR3(E17) | chr4:1808661:+ | TACC3(E11) | chr4:1741429:+ | COA download |
MET exon14 Skiping (E13-E15) | MET(E13) | chr7:116411708:+ | MET(E15) | chr7:116414935:+ | COA download |
BCR-ABL1 (E14-E2) | BCR(E14) | chr22:23632600:+ | ABL1(E2) | chr9:133729451:+ | COA download |
CD74-ROS1(E6-E34) | CD74(E6) | chr5:149784243:- | ROS1(E34) | chr6:117645578:- | COA download |
Product application
1.Widely used in customers’ quality control testing
2.Quality assessment for monitoring NGS- or dPCR-based tumor testing workflows
Description
Gene fusion refers to connecting the coding regions of two or more genes end to end and placing them under the control of the same set of regulatory sequences (including promoters, enhancers and terminators, etc.) to form a chimeric gene. Gene fusion is usually caused by chromosome rearrangement. Abnormal gene fusion events can cause malignant blood diseases and tumors, so analyzing the gene fusion phenomenon will help explore the pathogenesis, biomaker screening, etc., which is of great clinical significance.
There are three main mechanisms for gene fusion, as shown in the following figure:
There are three common mechanisms of gene fusion:
1) Chromosomal Translocation. As shown in Figure A above, the two segments on chromosomes 1 and 2 cross and exchange, resulting in the fusion of the light green gene on chromosome 1 and the orange gene on chromosome 2;
2) Interstitial deletion. As shown in the figure above, the segment between the orange gene and the light green gene on chromosome 3 is deleted, eventually resulting in the fusion of the two genes;
3) Chromosomal Inversion. For example, the segment between the orange gene and the dark green gene on chromosome 4 is inverted, eventually resulting in the fusion of the orange gene and the light green gene.
General information
Name | Panel-Ref® RNA-Fusion Cocktail Control |
Cat. No. | CBP90001 |
Format | RNA |
Buffer | RNase-free H2O |
Conc.(Qubit3.0) | 60ng/uL |
OD260/OD280(1.8~2.1) | 1.98 |
RNQ Value(>9 (Qsep) | >9 |
Copy Number(DdPCR) | Below |
Description | RNA containing 11 fusion mutations, all quantified by dPCR |
Size | 1ug |
Intended Use | Research Use Only |
Storage Conditions | -90℃~70℃ |
Expiry | 12 months from the date of manufacture |
Detection Methods
The identification of gene fusion can be based on whole-genome sequencing data (WGS), transcriptome sequencing data (RNA-seq), or a combination of the two technologies.
Gene fusions identified by whole-genome sequencing can basically be determined to be caused by some mutations at the genomic level, but without transcriptome sequencing data, it is impossible to accurately determine whether the new gene produced after the fusion can be expressed, or the level of expression.
Gene fusions identified by transcriptome sequencing data can clearly be expressed gene fusions, but it is impossible to completely determine whether they are caused by genomic mutations or RNA fusions after transcription of two different genes.
Therefore, if conditions permit, combining whole-genome sequencing (WGS, or panel) and transcriptome sequencing (RNA-seq) to identify gene fusions can obtain more accurate identification results.
Detailed Data
Name | Left Gene | Left Breakpoint | Right Gene | Right Breakpoint | Copies/ng |
CCDC6-RET Fusion (E1-E12) | CCDC6(E1) | chr10:61665880:- | RET(E12) | chr10:43612032:+ | COA download |
EML4-ALK Fusion (E13-E20) | EML4(E13) | chr2:42522656:+ | ALK(A20) | chr2:29446394:- | COA download |
ETV6-NTRK3 Fusion (E5-E15) | ETV6(E5) | chr12:12022903:+ | NTRK3(E15) | chr15:88483984:- | COA download |
KIF5B-RET Fusion (E15-E12) | KIF5B(E15) | chr10:32317356:- | RET(E12) | chr10:43612032:+ | COA download |
NPM1-ALK Fusion (E4-E20) | NPM1(E4) | chr5:170818803:+ | ALK(E20) | chr2:29446394:- | COA download |
SLC34A2-ROS1 Fusion (E4-E32) | SLC34A2(E4) | chr4:25665952:+ | ROS1(E32) | chr6:117650609:- | COA download |
TPM3-NTRK1 Fusion (E7-E9) | TPM3(E7) | chr1:154142876:- | NTRK1(E9) | chr1:156844363:+ | COA download |
FGFR3-TACC3 (E17-E11) | FGFR3(E17) | chr4:1808661:+ | TACC3(E11) | chr4:1741429:+ | COA download |
MET exon14 Skiping (E13-E15) | MET(E13) | chr7:116411708:+ | MET(E15) | chr7:116414935:+ | COA download |
BCR-ABL1 (E14-E2) | BCR(E14) | chr22:23632600:+ | ABL1(E2) | chr9:133729451:+ | COA download |
CD74-ROS1(E6-E34) | CD74(E6) | chr5:149784243:- | ROS1(E34) | chr6:117645578:- | COA download |
Product application
1.Widely used in customers’ quality control testing
2.Quality assessment for monitoring NGS- or dPCR-based tumor testing workflows
