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In order to find out the impact of using tissue specificity for predicting new disease-gene associations, this study proposes a novel method called tissue-specified genes to construct tissues-specific gene-gene networks for different tissue samples.
X-Gluc buffer solution was vacuum-infiltrated into several different tissue samples.
A strategy designed for the detection and comparison of multiple DNA adducts from different tissue samples was applied to assess esophageal and peripherally- and centrally-located lung tissue DNA obtained from the same person.
We prepared total RNAs from 24 different tissue samples derived from three different organisms (rice, zebra fish, Arabidopsis; Table 1).
Another important issue that shouldn't be disregarded is the dissimilar pre-analytical treatment of different tissue samples.
Using LCM, four different tissue samples (normal mucosa, adenoma, cancer, and cancer mesenchymal tissue) were collected from each patient.
Human gene expression data was obtained from the Novartis human tissue survey [20] processed with the gcRMA preprocessing probe set algorithm and consists of 79 different tissue samples.
For this purpose proteins were extracted from three different tissue samples from both hospitals, in three technical replicates using both buffers.
Protein lysates of 64 different tissue samples (including two brain-invasive and 32 infiltrative tumors) were submitted to SELDI-TOF mass spectrometric analysis.
No significant quantitative correlation was observed for the different tissue samples, between antigen reactions and their infiltrative/invasive or noninfiltrative status (not shown).
Tumour specific staining (Fig. 5) was observed in about 80% of the different tissue samples (Tab. 2), whereas an analysis of 272 non-tumour tissue sections revealed a very low reactivity with normal tissue (Tab. 3).
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