The largest database of trusted experimental protocols

I7 index

Manufactured by Illumina

The I7 index is a laboratory equipment product used in DNA sequencing workflows. It serves as a molecular barcode to identify individual samples during the sequencing process. The I7 index provides a unique sequence that is added to each DNA fragment, enabling the differentiation and tracking of multiple samples simultaneously.

Automatically generated - may contain errors

3 protocols using i7 index

1

Single-Cell RNA Sequencing with 10X Genomics

Check if the same lab product or an alternative is used in the 5 most similar protocols
scRNA-seq libraries were prepared using the Chromium Single Cell 3’ Library and Gel Bead Kit v3 (10X Genomics), according to the manufacturer’s protocol (User Guide). Chips were loaded after calculating the accurate volumes using the ‘Cell Suspension Volume Calculator Table’. With an initial single-cell suspension concentration equal to 1000 cells/µl, we targeted to recover approximately 10,000 cells. Once GEMs were obtained, reverse transcription and cDNA amplification steps were performed. Sequencing was done on Illumina NovaSeq 6000 S2 flow cell generating paired-end reads. Different sequencing cycles were performed for the different reads, R1 and R2. R1, contained 10X barcodes and UMIs, in addition to an Illumina i7 index. While R2 contained the transcript-specific sequences.
+ Open protocol
+ Expand
2

Single-cell RNA-seq Using 10X Chromium

Check if the same lab product or an alternative is used in the 5 most similar protocols
Single-cell RNAseq libraries were prepared using a Chromium Single Cell 3′ Library & Gel Bead Kit v2 or v3 (10X Genomics), according to the manufacturer’s protocol (user guide). Two chips were loaded with the accurate volumes calculated based on the 'Cell Suspension Volume Calculator Table.' The initial single-cell suspension being estimated at >600 cells/μl, we targeted to recover a maximum 10,000 cells. Once GEMs were obtained, reverse transcription and cDNA amplification steps were performed. Sequencing was done on Illumina NovaSeq 6000 S2 flow cell generating paired-end reads. Different sequencing cycles were performed for the different reads, R1 and R2. R1 contained 10× barcodes and UMIs, in addition to an Illumina i7 index, and R2 contained the transcript-specific sequences. All steps were performed at the Next Generation Sequencing platform at the University of Bern.
+ Open protocol
+ Expand
3

Single-cell RNA-seq library preparation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Libraries for scRNA-seq were prepared using the Chromium Single Cell 3′ Library and Gel Bead Kit v3 (10X Genomics), according to the manufacturer’s protocol (User Guide). Briefly, wells were loaded after calculating single-cell suspension concentration of each sample equal to 1,200 cells/μl. Targeted recovery rate was approximately 10,000 cells. 10X Chromium Chip performed GEMs generation, reverse transcription, and cDNA amplification. Illumina NovaSeq 6000 S2 flow cell was used for deep sequencing generating paired-end reads. Different sequencing cycles were performed for the different reads, R1 and R2. R1, contained 10X barcodes and UMIs, in addition to an Illumina i7 index. R2, contained the transcript-specific sequences.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!