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This chapter outlines considerations and methods of experimental design for spotted microarray studies that contribute to the robustness of the acquired data.
We have also done microarray studies that have provided us with insight regarding tolerance of flies to long term (over many generations) hypoxia [14].
The present study represents the addition of 91 microarray studies that includes additional adenocarcinomas, islet cell tumors, other non-adenocarcinomas, benign pancreatic disease, normal isolated pancreatic islets and ducts, and pancreatic cancer cell lines.
Although a large number of microarray studies that focused on ERα and/or breast cancer cells had been reported (for example, refs. [33] [39]), these aspects had been missed.
The pre-validated breast cancer mRNA biomarkers were checked in other microarray studies that have been conducted in our laboratory on different diseases, including oral cancer [31], primary Sjögren's Syndrome (pSS) [30], pancreatic cancer [34], lung cancer, ovarian cancer, and type 2 diabetes.
Table 1 lists the 10 genome-wide gene expression microarray studies that were included in the quantitative mega-analyses.
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We carried out a DNA microarray study that identified δ-tocotrienol induction of the zinc finger transcription factor EGR-1 in pancreatic cancer cells.
This result is consistent with a previous DNA microarray study that demonstrated L1TD1 is also enriched in undifferentiated hESC [15].
This appears consistent with previous reports that the HVC of non-singing birds expresses low levels of activity-regulated transcription factors (e.g. zenk and c-fos), and with a recent microarray study that found that 12 out of 32 (∼38%) confirmed singing-induced HVC markers were related to transcriptional activity [36].
To do this, we identified two cell lines, one control and one IPF (new cell lines not part of the initial microarray study); that were available at a sub-cultivation number identical to that used in the microarray experiments and in sufficient quantity to generate enough mRNA for qRT-PCR from each fraction (an independent validation with new cell lines).
DJJ conducted the microarray study that identified DSC3.
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