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Panel-Ref® RNA Fusion Cocktail Control

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In 2020, CB-Gene Bio launched the 11-site RNA-Fusion Cocktail control, which is widely used in customers' quality control testing. This product contains 11 common fusion sites and is a mixed RNA panel, all of which are calibrated using ddPCR.
In 2021, based on the demands of our customers, we upgraded our RNA-Fusion Cocktail control, with the sites upgraded from 11 to 22, and quality control products for more sites, and the format upgraded from RNA solution to FFPE slide, which better simulates clinical samples and involves extraction and other processes. All upgraded products use ddPCR to calibrate the copy number.
  • CBP90001

  • CBP90001

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Product Overview


Gene fusions (e.g., EML4-ALK, BCR-ABL1) drive malignant blood cancers and solid tumors, making them critical biomarkers for targeted therapy. The Panel-Ref® RNA-Fusion Cocktail Control (CBP90001) is a high-quality QC material upgraded in 2021 to include 22 fusion sites (from 11) and FFPE slide format (replacing RNA solution) to better simulate clinical sample processing (e.g., RNA extraction). It contains 11 clinically relevant fusion transcripts, all quantified via ddPCR for accuracy.


Core Advantages


Clinical Sample Simulation with FFPE Format

The FFPE slide format replicates real-world clinical workflows (e.g., formalin fixation, RNA extraction), helping labs validate assay performance through every step—unlike liquid RNA standards.


Comprehensive Fusion Coverage

Including 11 high-impact fusions (e.g., NTRK, RET, ROS1 fusions), it supports validation of NGS/ddPCR-based fusion detection assays for lung, breast, and hematologic cancers.


ddPCR-Qualified Precision

Each fusion’s copy number is calibrated via ddPCR, ensuring accurate quantification for testing assay sensitivity (e.g., detecting low-abundance fusion transcripts) and reproducibility.


RNase-Free & Degradation-Resistant

Packaged in RNase-free buffer with high RNQ value, it maintains RNA integrity during storage and handling, avoiding false negatives from degraded samples.


Service Process


Pre-Order Consultation

We advise on fusion selection (e.g., prioritizing EML4-ALK for lung cancer research) and format (RNA solution vs. FFPE) based on your assay platform (e.g., RNA-seq, RT-ddPCR).


Secure, Temperature-Controlled Shipping

RNA is shipped on dry ice to preserve integrity; FFPE slides include handling instructions to prevent RNA degradation during processing.


Technical Guidance for Extraction & Testing

Our team provides protocols for FFPE RNA extraction, reverse transcription, and fusion detection, helping resolve issues like low yield or inconsistent results.


Copy Number Verification Support

We share ddPCR calibration data to help you cross-verify your assay’s quantification accuracy for each fusion transcript.


Why Choose This RNA Fusion Control?


Gene fusion detection requires robust QC to avoid misdiagnosing patients. This standard’s FFPE format, ddPCR validation, and comprehensive fusion coverage make it ideal for optimizing RNA-seq/ddPCR workflows, monitoring daily test performance, and ensuring reliable biomarker detection. Contact us to streamline your fusion testing QC.


RNA


There are three main mechanisms for gene fusion, as shown in the following figure:


RNA


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


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



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


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