We understand that cell line development involves multiple, complex processes requiring consistency and reproducible results. That’s why Gibco products are designed to provide you with integrated stable cell l
We understand that cell line development involves multiple, complex processes requiring consistency and reproducible results. That’s why Gibco products are designed to provide you with integrated stable cell line development solutions to simplify your development workflow and accelerate your processes to c...
What does a typical cell-line development workflow involve? Cell-line development begins with cloning antibody genes into an expression vector, which is then used to transfect a mammalian host cell line. Chinese hamster ovary (CHO) cells are widely used for biologics production as they are rel...
then it could take just 12 to 16 weeks. However, if it is a complex or difficult edit or a slow-growing cell line, then it takes longer. The knowledge gained from overcoming technical obstacles is then often incorporated into our standard workflow to improve ...
(2) the expression of TF target genes, derived from the regulons identified through the SCENIC workflow, contribute to the transcriptomic heterogeneity within the cell line; (3) the expression or chromatin accessibility of TF should be variable among the subclusters of the cell line. In MDA-MB...
Workflow for cell line investigation Step 1: Cell Line Information There is an increasing focus on molecular techniques for cell line analysis, which may lead scientists to jump straight to these molecular techniques to investigate cell lines. However, scientists who succumb to that temptation can ea...
On your Mac, use the "Control + Option + Return" combination to enter a new line within a cell. Alternatively, you can use the "Control + Command + Return" combination to perform the same function mentioned above. By using this feature, you can easily enter any type of data...
To update a workflow to the latest version on the command line use the following command: nextflow pull epi2me-labs/wf-single-cell A demo dataset is provided for testing of the workflow. It can be downloaded and unpacked using the following commands: ...
Motivated by the size and availability of cell line drug sensitivity data, researchers have been developing machine learning (ML) models for predicting drug response to advance cancer treatment. As drug sensitivity studies continue generating drug respon
mostcrypt cellsexpress either Lgr5 or Lrig1. However, in rare cases, co-localization of the two markers occurred in the same cells[51]. This is in line with the finding of Itzokoviz and colleagues who investigated an overlapping expression of several ISC markers such as Lgr5, Bmi1 and ...