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The relative number of real transcription factor clusters compared to random clusters strongly increased with the number of transcription factors mapping to the cluster.
On the basis of predicted genes and cDNA sequences, we PCR-cloned the open reading frames of 12 factors mapping to the locus from C57BL/6 splenic cDNA (Ifi203-205, 207–214) (Table 1, Figure 1) or cDNA from RAW264 cell line (Ifi202) and obtained cDNA for Ifi206 from Ricky Johnstone Peter MacCallum Cancer Centree, Melbourne).
At present, it is difficult to determine whether the genetic effects presented in these studies could result from genetic factors mapping just outside the MHC region like the belr1 locus.
We modeled log10 ∑PCB) as a function of potential individual and neighborhood risk factors, mapping model residuals to assess spatial correlates of PCB exposure.
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Specific factors mapped to these dimensions were identified in Additional file 1: Table SA-1.
Additional observations indicate that transcription factors mapped in K562 are generally more promoter-specific and directly related to transcription than the factors mapped in Gm12878.
Contrary to this supposition, the factors mapped typically accounted for an appreciable portion of the focal gene's transcript variation.
The latter difference could also be reinforced by the smaller number of factors mapped in Gm12878 (28) compared to K562 (39).
Of the 39 factors mapped in K562 and the 28 mapped in Gm12878, only 13 factors were common to both cell lines.
Combining transcription factors mapped using BLAST and subfamily classification, together with target genes mapped using BLAST and binding site motifs, produced the best regulatory link predictions.
Another source of the cell type-specific discrepancies is the selection of transcription factors mapped by ChIP-Seq in each cell line.
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