Exact(3)
We originally generated constructs using the minimal piggyBac vector pXL-BacII to keep the size of the element as small as possible (Li et al., 2001).
We originally generated a medium-scale collection of ~13.5K directional, cDNA clones from multiple tissues [ 9], though this has more recently been increased [ 10]. 9,202 directional EST were assembled into 6,033 transcriptional units.
To explore the pathological properties of TMEM207 in gastrointestinal tumors, we originally generated several C57BL/6-Tg (ITF-TMEM207) mouse lines, designated C57BL/6-Tg (ITF-TMEM207), in which murine TMEM207 is ectopically expressed under the proximal promoter (truncated by ~200 bp) of the murine intestinal trefoil factor (ITF) gene (also known as Tff3).
Similar(57)
We originally generate 162 (gantry, couch) angle pairs such that the entry angles are evenly scattered over a sphere corresponding to an average angular spacing of 16°.
Initially, we compared the abundance of the three sentinel markers of our cell lines (ER/ESR1, PR/PGR, and HER2/ERBB2) using qPCR data that we had originally generated to confirm the receptor status of the cell lines.
We used a library originally generated for an Hfq Genomic SELEX experiment, generated as described in the protocol [3].
To round out the full exome dataset panel, we included biomedically disease relevant exomes originally generated by Christopher Walsh's group [ 20].
We used male NEP-knockout mice that were originally generated by Lu et al. [13] and maintained in the breeding stocks of T.W. at the Charité, Campus Benjamin Franklin (CBF), Berlin, Germany.
To explore the power of HFCC we also analyzed a simulated dataset that was originally generated to evaluate the power of a different gene-gene interaction method [ 14].
To reinvestigate this case, we reassessed one of the other virus sequences originally generated from this case with a panel of rabies virus sequences from Southeast Asia, including viruses from Vietnam, China, and examples of ABLV.
We also ensured that the lines still bore the originally generated deletions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com