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We compared here two different major histocompatibility complex (MHC) class I epitopes of an engineered ovalbumin transgene delivered in muscle tissue by rAAV1 vector and found very different strength of CD8 responses, muscle destruction being correlated with the course of the immunodominant response.
Here we transiently transfected cells with G3 construct, G3 fragment lacking the EGF-like motifs (G3ΔEGF), and the vector, and found that G3ΔEGF expression did not show enhanced cell growth and migration as G3 transfected cells did (Fig. 10a, 10b, 10c).
We analyzed cAMP levels in cells transfected with miR-17 or the control vector and found little difference between the cell lines (Supplementary Figure S3a).
To gain insight into possible mechanisms underlying the observed miR-9-dependent invasive behavior of mast cells, we compared the transcriptional profiles of murine BMMCs overexpressing miR-9 to those expressing empty vector and found marked changes in gene expression.
We enhanced N6AMT1 expression in UROtsa cells using a retrovirus-based vector and found the level of N6AMT1 mRNA in UROtsa cells to be significantly increased by approximately 5-fold in clone 2, as measured by semiquantitative RT-PCR.
To clarify the role of AR in phthalate-mediated apoptosis in bovine testicular iPSCs, we introduced an AR expression vector and found that it could rescue phthalate ester-mediated apoptosis.
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We also determine an asymptotic pdf for the random bending angle vector and find an integral expression for the probability of a lens plane point being near a fixed point.
The implemented SFS is a modification to the original SFS [29] as it binarizes the input feature vector and finds the highest contributing co-occurred features.
Besides categorizing every input point, the system also checks the track vector and finds the track which has not been touched in the categorizing step.
The SPE algorithm represents each conformation as a d-dimensional vector and finds a collection of vectors so that the Euclidian distance between two vectors in the d-dimensional projection is close to the RMSD between those two conformations if they are neighbours of each other (i.e. the RMSD is within a specified cut-off).
We convert a column of the protein multiple alignment to a frequency vector and find the nearest cluster as described in our paper [ 17].
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