The landscape of BRAF transcript and protein variants in human cancer

Background: The BRAF protein kinase is widely studied as a cancer driver and therapeutic target. However, the regulation of its expression is not completely understood. Results: Taking advantage of the RNA-seq data of more than 4800 patients belonging to 9 different cancer types, we show that BRAF mRNA exists as a pool of 3 isoforms (reference BRAF, BRAF-X1, and BRAF-X2) that differ in the last part of their coding sequences, as well as in the length (BRAF-ref: 76 nt; BRAF-X1 and BRAF-X2: up to 7 kb) and in the sequence of their 3'UTRs. The expression levels of BRAF-ref and BRAF-X1/X2 are inversely correlated, while the most prevalent among the three isoforms varies from cancer type to cancer type. In melanoma cells, the X1 isoform is expressed at the highest level in both therapy-naïve cells and cells with acquired resistance to vemurafenib driven by BRAF gene amplification or expression of the Δ[3-10] splicing variant. In addition to the BRAF-ref protein, the BRAF-X1 protein (the full length as well as the Δ[3-10] variant) is also translated. The expression levels of the BRAF-ref and BRAF-X1 proteins are similar, and together they account for BRAF functional activities. In contrast, the endogenous BRAF-X2 protein is hard to detect because the C-terminal domain is selectively recognized by the ubiquitin-proteasome pathway and targeted for degradation. Conclusions: By shedding light on the repertoire of BRAF mRNA and protein variants, and on the complex regulation of their expression, our work paves the way to a deeper understanding of a crucially important player in human cancer and to a more informed development of new therapeutic strategies

Integration of light and circadian signals that regulate chloroplast transcription by a nuclear-encoded sigma factor

We investigated the signalling pathways that regulate chloroplast transcription in response to environmental signals. One mechanism controlling plastid transcription involves nuclear‐encoded sigma subunits of plastid‐encoded plastid RNA polymerase. Transcripts encoding the sigma factor SIG5 are regulated by light and the circadian clock. However, the extent to which a chloroplast target of SIG5 is regulated by light‐induced changes in SIG5 expression is unknown. Moreover, the photoreceptor signalling pathways underlying the circadian regulation of chloroplast transcription by SIG5 are unidentified. We monitored the regulation of chloroplast transcription in photoreceptor and sigma factor mutants under controlled light regimes in Arabidopsis thaliana. We established that a chloroplast transcriptional response to light intensity was mediated by SIG5; a chloroplast transcriptional response to the relative proportions of red and far red light was regulated by SIG5 through phytochrome and photosynthetic signals; and the circadian regulation of chloroplast transcription by SIG5 was predominantly dependent on blue light and cryptochrome. Our experiments reveal the extensive integration of signals concerning the light environment by a single sigma factor to regulate chloroplast transcription. This may originate from an evolutionarily ancient mechanism that protects photosynthetic bacteria from high light stress, which subsequently became integrated with higher plant phototransduction networks

Identifying Consensus Disease Pathways in Parkinson's Disease Using an Integrative Systems Biology Approach

Parkinson's disease (PD) has had six genome-wide association studies (GWAS) conducted as well as several gene expression studies. However, only variants in MAPT and SNCA have been consistently replicated. To improve the utility of these approaches, we applied pathway analyses integrating both GWAS and gene expression. The top 5000 SNPs (p<0.01) from a joint analysis of three existing PD GWAS were identified and each assigned to a gene. For gene expression, rather than the traditional comparison of one anatomical region between sets of patients and controls, we identified differentially expressed genes between adjacent Braak regions in each individual and adjusted using average control expression profiles. Over-represented pathways were calculated using a hyper-geometric statistical comparison. An integrated, systems meta-analysis of the over-represented pathways combined the expression and GWAS results using a Fisher's combined probability test. Four of the top seven pathways from each approach were identical. The top three pathways in the meta-analysis, with their corrected p-values, were axonal guidance (p = 2.8E-07), focal adhesion (p = 7.7E-06) and calcium signaling (p = 2.9E-05). These results support that a systems biology (pathway) approach will provide additional insight into the genetic etiology of PD and that these pathways have both biological and statistical support to be important in PD

Abstract P6-08-05: Genome-wide identification of transcripts regulated by estrogen in MCF-7 cells using BrU-seq

Abstract Estrogen promotes estrogen receptor (ER)-positive breast cancer cell growth by modulating transcription through ligand activated ER. The spectrum of early ER target genes has been identified through gene expression microarray and more recently with RNA-seq analyses. These methods, although comprehensive, fall short in identifying many ER-regulated transcripts which are either not present in microarray; too abundant to determine estrogen regulated changes among steady-state pools of RNAs; or have very short half-lives and low abundance such as some non-coding RNAs, including RNAs generated by enhancers bound by ER (eRNAs). Global run-on sequencing (GRO-seq) has been used to identify ER target genes and eRNAs in breast cancer cells. It is technically cumbersome and is performed under non-physiological condition. We have applied BrU-seq technique to identify global transcripts regulated by estrogen in MCF-7 breast cancer cells. The newly synthesized RNAs in MCF-7 cells treated with or without estrogen for various time points, were labeled with 5'-bromo-uridine (BrU). The labeled RNAs were purified by immunoprecipitation using an anti-BrdU antibody and then subjected to RNA sequencing analysis, which provides greater sensitivity than regular RNA-seq analysis from steady-state total RNA samples. Robust estrogen-regulated transcripts can be detected within 30 min of treatment. Significantly more transcripts (both coding and non-coding RNAs) were identified as estrogen targets using BrU-seq analysis than RNA-seq analysis from total RNA pools. Many of these estrogen-regulated transcripts are located close to ER binding sites identified from ER ChIP-seq analysis, indicating a functional role for these ER binding sites in regulating RNA transcription. For estrogen targets identified through both analyses, the magnitude of expression changes (both up- and down-regulation) is usually greater from BrU-seq than from the regular RNA-seq analysis. The dynamics of RNA synthesis and degradation for some unstable RNAs (such as eRNAs) can be interrogated through our data set. Also, RNA pol II elongation rate can be deduced from some long ER target genes (>100 kb) such as GREB1. In addition to identifying estrogen targets, BrU-seq should be a very useful technique in assessing transcriptional changes triggered by various signal transduction pathways. Citation Format: Sun J, Capobianco E, Tsinoremas N, Lippman M. Genome-wide identification of transcripts regulated by estrogen in MCF-7 cells using BrU-seq [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-08-05

Blue and red light reversibly control psbA expression in the cyanobacterium Synechococcus sp. strain PCC 7942

The three psbA genes encoding the photosystem II D1 protein in Synechococcus sp. strain PCC 7942 respond differentially to an increase in intensity of white light through transcriptional induction of psbAII and psbAIII and accelerated degradation of psbAI and psbAIII messages. We report that the genes exhibit a novel photoreversible response involving blue and red light that is almost indistinguishable from the high-white light response. Transfer of cells from white to low-fluence blue light caused a decrease in the level of the psbAI message and increased levels of psbAII and psbAIII messages, whereas transfer to red or far-red light had little effect. Five min of blue light was sufficient to trigger psbAII and psbAIII induction; five min of subsequent red irradiation attenuated this response, whereas subsequent green or far-red light (or darkness) had no effect. Response to both high and blue light was insensitive to inhibitors of photosynthetic electron transport. We propose that Synechococcus modulates photosystem II biosynthesis in a variable light environment through a photoreception signal pathway, which is independent of photosystem II activity and which is distinct from red/green-reversible control of chromatically adapting cyanobacteria and the red/far-red-reversible phytochrome of plants

Efficient gene transfer in Synechococcus sp. strains PCC 7942 and PCC 6301 by interspecies conjugation and chromosomal recombination.

We developed a versatile, efficient genetic transfer method for Synechococcus sp. strains PCC 7942 and PCC 6301 that exceeds natural transformation efficiencies by orders of magnitude. As a test case, we complemented a histidine auxotroph and identified a hisS homolog of PCC 7942 as the complementing gene

Photosynthetic electron transport controls nitrogen assimilation in cyanobacteria by means of posttranslational modification of the glnB gene product.

A glnB gene is identified in the cyanobacterium Synechococcus sp. PCC 7942, and its gene product is found to be covalently modified as a result of imbalance in electron transfer in photosynthesis, where photosystem II is favored over photosystem I. The gene was cloned and sequenced and found to encode a polypeptide of 112 amino acid residues, whose sequence shows a high degree of similarity to the Escherichia coli regulatory protein, PII. In E. coli, PII is involved in signal transduction in transcriptional and post-translational regulation of nitrogen assimilation. Increase in ammonium ion concentration is shown to decrease covalent modification of the Synechococcus PII protein, as in enteric bacteria. We therefore propose that the photosynthetic electron transport chain may regulate the pathway of nitrogen assimilation in cyanobacteria by means of posttranslational, covalent modification of the glnB gene product. The existence of the glnB gene in different strains of cyanobacteria is demonstrated and its implications are discussed

Circadian orchestration of gene expression in cyanobacteria

We wanted to identify genes that are controlled by the circadian clock in the prokaryotic cyanobacterium Synechococcus sp. strain PCC 7942. To use luciferase as a reporter to monitor gene expression, bacterial luciferase genes (luxAB) were inserted randomly into the Synechococcus genome by conjugation with Escherichia coli and subsequent homologous recombination. The resulting transformed clones were then screened for bioluminescence using a new developed cooled-CCD camera system. We screened approximately 30,000 transformed Synechococcus colonies and recovered approximately 800 clones whose bioluminescence was bright enough to be easily monitored by the screening apparatus. Unexpectedly, the bioluminescence expression patterns of almost all of these 800 colonies clearly manifested circadian rhythmicity. These rhythms exhibited a range of waveforms and amplitudes, and they also showed a variety of phase relationships. We also found bioluminescence rhythms expressed by cyanobacterial colonies in which the luciferase gene set was coupled to the promoters of several known genes. Together, these results indicate that control of gene expression by circadian clocks may be more widespread than expected thus far. Moreover, our results show that screening organisms in which promoterless luciferase genes have been inserted randomly throughout the genome by homologous recombination provides an extremely sensitive method to explore differential gene expression