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  1. 5 dni temu · Author summary Advancements in single-cell technologies with the ability to measure gene expression at the cellular level have provided unprecedented opportunity to investigate the cell type (T cells, B cells, etc) and cell state diversity (active T cells and exhausted T cells) within tissues and cancers. However, analyzing this complex high-dimensional data when the noise level is high ...

  2. 5 dni temu · For each of the genes called using this process, the fraction of impacted cells (that is, cells that lose more than 70% of the 150 genes near the perturbed gene) is reported (Supplementary Table 2).

  3. 5 dni temu · First Published: 23 May 2024. The WT 9-12 cell line is commonly used for studying autosomal dominant polycystic kidney disease (ADPKD), but previous research had not explored mutations in other ADPKD-associated genes. This study identified a truncation mutation (Q2556X) in the PKD1 gene of WT 9-12, along with several high-impact variations in ...

  4. 6 godz. temu · Q&A. Hi folks! I am trying to explore the correlation among a protein-coding gene, a LncRNA, and a microRNA among lung cancer cell lines. CCLE2019 datasets seem to suit my needs. But I got a little uncertain which dataset I should use. I saw RNAseq_genes_rpkm and RNAseq_genes_tpm for regular RNAseq. I also saw miRNA_MIMAT and miRNA_20181103.gct.

  5. 3 dni temu · Technical simplicity: Regular plasmid vectors rely on simple transfection-based methods for the delivery of target genes into host cells. Delivering plasmid vectors into cells by conventional transfection is technically straightforward, and far easier than virus-based vectors which require the packaging of live virus.

  6. 5 dni temu · This function computes a matrix of distances between pairs of individuals from a matrix or a data frame of genetic data. Usage dist.gene(x, method = "pairwise", pairwise.deletion = FALSE, variance = FALSE)

  7. 5 dni temu · In a new study, scientists at Gladstone Institutes used a tool known as CRISPR interference, or CRISPRi, to map the layered mechanisms that control expression of these fundamental immune genes.

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