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The EIF4G1 data set (GSE11011) examines gene expression changes associated with decreased cell proliferation resulting from EIF4G1 knockdown in human breast epithelial cells (MCF10A cell line) [ 22].
The CTNNB1 data set (PMID 15186480) examines gene expression changes resulting from expression of constitutively active Ctnnb1-Lef1 fusion protein in embryonic lung, which causes increased cell proliferation and altered cell differentiation [ 24].
Finally, the NR3C1 data set (E-MEXP-861) examines gene expression changes resulting from glucocorticoid receptor (GR or NR3C1) knockout in embryonic mouse lung, which leads to increased cell proliferation [ 25].
The RhoA data set (GSE5913) examines gene expression changes associated with increased cell proliferation in NIH3T3 mouse fibroblasts, caused by the introduction of the dominant activating RhoA Q63L mutation [ 23].
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We have globally examined gene expression changes in tumor-infiltrating T-cells both in the presence and absence of anti-PD-1 therapy, and identified a cohort of >100 genes with significantly enhanced expression in the dysfunctional state both in mouse and human samples.
Therefore, we examined gene expression changes of many PcG and Trithorax Group (TrxG) genes upon Pc RNAi in the embryo.
We began a search for candidate genes by examining gene expression changes in any genes known to be generally involved in chromatin binding and genetic regulation.
We sought to better understand how LPA in the microenvironment impacts molecular ovarian cancer progression by examining gene expression changes induced by LPA in ovarian cancer cell lines.
In order to examine gene expression changes that occur as a result of conversion into L-form colonies, we performed microarray experiments utilizing E. coli 2.0 Genome Genechip arrays (Affymetrix).
We next examined gene expression changes associated with complications seen in T1D patients.
Several studies have examined gene expression changes related to either ERα or ERβ.
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