Low Cell Number Proteomic Analysis Using In-Cell Protease Digests Reveals a Robust Signature for Cell Cycle State Classification

Comprehensive proteome analysis of rare cell phenotypes remains a significant challenge. We report a method for low cell number MS-based proteomics using protease digestion of mildly formaldehyde-fixed cells in cellulo, which we call the “in-cell digest.” We combined this with averaged MS1 precursor library matching to quantitatively characterize proteomes from low cell numbers of human lymphoblasts. About 4500 proteins were detected from 2000 cells, and 2500 proteins were quantitated from 200 lymphoblasts. The ease of sample processing and high sensitivity makes this method exceptionally suited for the proteomic analysis of rare cell states, including immune cell subsets and cell cycle subphases. To demonstrate the method, we characterized the proteome changes across 16 cell cycle states (CCSs) isolated from an asynchronous TK6 cells, avoiding synchronization. States included late mitotic cells present at extremely low frequency. We identified 119 pseudoperiodic proteins that vary across the cell cycle. Clustering of the pseudoperiodic proteins showed abundance patterns consistent with “waves” of protein degradation in late S, at the G2&M border, midmitosis, and at mitotic exit. These clusters were distinguished by significant differences in predicted nuclear localization and interaction with the anaphase-promoting complex/cyclosome. The dataset also identifies putative anaphase-promoting complex/cyclosome substrates in mitosis and the temporal order in which they are targeted for degradation. We demonstrate that a protein signature made of these 119 high-confidence cell cycle–regulated proteins can be used to perform unbiased classification of proteomes into CCSs. We applied this signature to 296 proteomes that encompass a range of quantitation methods, cell types, and experimental conditions. The analysis confidently assigns a CCS for 49 proteomes, including correct classification for proteomes from synchronized cells. We anticipate that this robust cell cycle protein signature will be crucial for classifying cell states in single-cell proteomes.     

CDK1 inhibition sensitizes normal cells to DNA damage in a cell cycle dependent manner

Cyclin-dependent kinase 1 (CDK1) orchestrates the transition from the G2 phase into mitosis and as cancer cells often display enhanced CDK1 activity, it has been proposed as a tumor specific anti-cancer target. Here we show that the effects of CDK1 inhibition are not restricted to tumor cells but can also reduce viability in non-cancer cells and sensitize them to radiation in a cell cycle dependent manner.

Radiosensitization by the specific CDK1 inhibitor, RO-3306, was determined by colony formation assays in three tumor lines (HeLa, T24, SQ20B) and three non-cancer lines (HFL1, MRC-5, RPE). Initial results showed that CDK1 inhibition radiosensitized tumor cells, but did not sensitize normal fibroblasts and epithelial cells in colony formation assays despite effective inhibition of CDK1 signaling. Further investigation showed that normal cells were less sensitive to CDK1 inhibition because they remained predominantly in G1 for a prolonged period when plated in colony formation assays. In contrast, inhibiting CDK1 a day after plating, when the cells were going through G2/M phase, reduced their clonogenic survival both with and without radiation. Our finding that inhibition of CDK1 can damage normal cells in a cell cycle dependent manner indicates that targeting CDK1 in cancer patients may lead to toxicity in normal proliferating cells. Furthermore, our finding that cell cycle progression becomes easily stalled in non-cancer cells under normal culture conditions has general implications for testing anti-cancer agents in these cells.     

Partial inhibition of Cdk1 in G2 phase overrides the SAC and decouples mitotic events

Entry and progression through mitosis has traditionally been linked directly to the activity of cyclin-dependent kinase 1 (Cdk1). In this study we utilized low doses of the Cdk1-specific inhibitor, RO3306 from early G₂ phase onwards. Addition of low doses of RO3306 in G₂ phase induced minor chromosome congression and segregation defects. In contrast, mild doses of RO3306 during G₂ phase resulted in cells entering an aberrant mitosis, with cells fragmenting centrosomes and failing to fully disassemble the nuclear envelope. Cells often underwent cytokinesis and metaphase simultaneously, despite the presence of an active spindle assembly checkpoint, which prevented degradation of cyclin B1 and securin, resulting in the random partitioning of whole chromosomes. This highly aberrant mitosis produced a significant increase in the proportion of viable polyploid cells present up to 3 days post-treatment. Furthermore, cells treated with medium doses of RO3306 were only able to reach the threshold of Cdk1 substrate phosphorylation required to initiate nuclear envelope breakdown, but failed to reach the levels of phosphorylation required to correctly complete pro-metaphase. Treatment with low doses of Okadaic acid, which primarily inhibits PP2A, rescued the mitotic defects and increased the number of cells that completed a normal mitosis. This supports the current model that PP2A is the primary phosphatase that counterbalances the activity of Cdk1 during mitosis. Taken together these results show that continuous and subtle disruption of Cdk1 activity from G₂ phase onwards has deleterious consequences on mitotic progression by disrupting the balance between Cdk1 and PP2A.     

A peptide encoded by exon 6 of VEGF (EG3306) inhibits VEGF-induced angiogenesis in vitro and ischaemic retinal neovascularisation in vivo

VEGF is an important mediator of pathological angiogenesis in the eye and is a target for the development of novel anti-angiogenic molecules. In a previous study we identified 12-amino acid peptides derived from exon 6 of VEGF that inhibited VEGF binding to its receptors in HUVECs, endothelial cell functions, and in vitro angiogenesis. Screening of a series of truncated peptides corresponding to the inhibitory region of exon 6 identified a seven amino acid residue peptide, RKRKKSR, as the minimum exon 6-encoded sequence which retains the ability to inhibit VEGF receptor binding and angiogenesis in vitro. The effect of the seven-residue peptide was examined in a mouse model of ischaemic retinal neovascularisation. Administration of the peptide caused a 50% inhibition of retinal neovascularisation and was as effective in inhibiting ischaemic angiogenesis as soluble Flt-1 adenovirus. These results demonstrate that a seven amino acid VEGF exon 6-derived peptide is an effective inhibitor of ocular neovascularisation in vivo, and may have applications in the treatment of pathophysiological ocular neovascularisation in human disease.     

Critical reanalysis of the methods that discriminate the activity of CDK2 from CDK1

Cyclin dependent kinases 1 and 2 (CDK1 and CDK2) play crucial roles in regulating cell cycle progression from G1 to S, through S, and G2 to M phase. Both inhibition and aberrant activation of CDK1/2 can be detrimental to cancer cell growth. However, the tools routinely employed to discriminate between the activities of these 2 kinases do not have the selectivity commonly attributed to them. Activation of these kinases is often assayed as a decrease of the inhibitory tyrosine-15 phosphorylation, yet the antibodies used cannot discriminate between phosphorylated CDK1 and CDK2. Inhibitors of these kinases, while partially selective against purified kinases, may lack selectivity when applied to intact cells. High levels of cyclin E are often considered a marker of increased CDK2 activity, yet active CDK2 targets cyclin E for degradation, hence high levels usually reflect inactive CDK2. Finally, inhibition of CDK2 does not arrest cells in S phase suggesting CDK2 is not required for S phase progression. Furthermore, activation of CDK2 in S phase can rapidly induce DNA double-strand breaks in some cell lines. The misunderstandings associated with the use of these tools has led to misinterpretation of results. In this review, we highlight these challenges in the field.