MAF1 is a predictive biomarker in HER2 positive breast cancer.

RNA polymerase III transcription is pivotal in regulating cellular growth and frequently deregulated in various cancers. MAF1 negatively regulates RNA polymerase III transcription. Currently, it is unclear if MAF1 is universally deregulated in human cancers.

BDP1 as a biomarker in serous ovarian cancer.

Background: TFIIIB, an RNA polymerase III specific transcription factor has been found to be deregulated in human cancers with much of the research focused on the TBP, BRF1, and BRF2 subunits. To date, the TFIIIB specific subunit BDP1 has not been investigated in ovarian cancer but has previously been shown to be deregulated in neuroblastoma, breast cancer, and Non-Hodgkins lymphoma.

Results: Using in silico analysis of clinically derived platforms, we report a decreased BDP1 expression as a result of deletion in serous ovarian cancer and a correlation with higher and advanced ovarian stages.

Insights into DNA polymerase δ's mechanism for accurate DNA replication.

Our study examines the mechanisms by which DNA polymerase (pol) δ faithfully replicates DNA. To better understand this process, we have performed all-atom molecular dynamics simulations of several DNA pol δ systems to identify conformational changes occurring prior to chemistry and investigate mechanisms by which mutations in the fingers domain (R696W and A699Q) lower fidelity. Our results indicate that, without the incoming nucleotide, a distinct open conformation occurs defined by a rotation in the fingers.

Identifying key features of effective active learning: the effects of writing and peer discussion.

We investigated some of the key features of effective active learning by comparing the outcomes of three different methods of implementing active-learning exercises in a majors introductory biology course. Students completed activities in one of three treatments: discussion, writing, and discussion + writing. Treatments were rotated weekly between three sections taught by three different instructors in a full factorial design.