Cancer Biology

RNA polymerase II (RNAPII) transcribes DNA into mRNA and thereby plays a critical role in cellular protein production. In addition, RNAPII plays a central role in DNA damage responses. Measurements of RNAPII on chromatin may thus give insight into several essential processes in eukaryotic cells. During transcription, the C-terminal domain of RNAPII becomes post-translationally modified, and phosphorylation on serine 5 and serine 2 can be used as markers for the promoter proximal and productively elongating forms of RNAPII, respectively. Here, we provide a detailed protocol for the detection of chromatin-bound RNAPII and its serine 5– and serine 2–phosphorylated forms in individual human cells through the cell cycle. We have recently shown that this method can be used to study the effects of ultraviolet DNA damage on RNAPII chromatin binding and that it can even be used to reveal new knowledge about the transcription cycle itself. Other commonly used methods to study RNAPII chromatin binding include chromatin immunoprecipitation followed by sequencing or chromatin fractionation followed by western blotting. However, such methods are frequently based on lysates made from a large number of cells, which may mask population heterogeneity, e.g., due to cell cycle phase. With strengths such as single-cell analysis, speed of use, and accurate quantitative readouts, we envision that our flow cytometry method can be widely used as a complementary approach to sequencing-based methods to study effects of different stimuli and inhibitors on RNAPII-mediated transcription.

Graphical overview

Cellular senescence is a reprogrammed cell state triggered as an adaptative response to a variety of stresses, most often those affecting the genome integrity. Senescent cells accumulate in most tissues with age and contribute to the development of several pathologies. Studying molecular pathways involved in senescence induction and maintenance, or in senescence escape, can be hindered by the heterogeneity of senescent cell populations. Here, we describe a flow cytometry strategy for sorting senescent cells according to three senescence canonical markers whose thresholds can be independently adapted to be more or less stringent: (i) the senescence-associated-β-galactosidase (SA-β-Gal) activity, detected using 5-dodecanoylaminofluorescein Di-β-D-galactopyranoside (C₁₂FDG), a fluorigenic substrate of β-galactosidase; (ii) cell size, proportional to the forward scatter value, since increased size is one of the major changes observed in senescent cells; and (iii) cell granularity, proportional to the side scatter value, which reflects the accumulation of aggregates, lysosomes, and altered mitochondria in senescent cells. We applied this protocol to the sorting of normal human fibroblasts at the replicative senescence plateau. We highlighted the challenge of sorting these senescent cells because of their large sizes, and established that it requires using sorters equipped with a nozzle of an unusually large diameter: at least 200 µm. We present evidence of the sorting efficiency and sorted cell viability, as well as of the senescent nature of the sorted cells, confirmed by the detection of other senescence markers, including the expression of the CKI p21 and the presence of 53BP1 DNA damage foci. Our protocol makes it possible, for the first time, to sort senescent cells from contaminating proliferating cells and, at the same time, to sort subpopulations of senescent cells featuring senescent markers to different extents.

Graphical abstract

Over the past decades, the main techniques used to visualize bacteria in tissue have improved but are still mainly based on indirect recognition of bacteria. Both microscopy and molecular recognition are being improved, but most procedures for bacteria detection in tissue involve extensive damage. Here, we describe a method to visualize bacteria in tissue slices from an in vivo model of breast cancer. This method allows examining trafficking and colonization of fluorescein-5-isothiocyanate (FITC)-stained bacteria in various tissues. The protocol provides direct visualization of fusobacterial colonization in breast cancer tissue. Rather than processing the tissue or confirming bacterial colonization by PCR or culture, the tissue is directly imaged using multiphoton microscopy. This direct visualization protocol causes no damage to the tissue; therefore, all structures can be identified. This method can be combined with others to co-visualize bacteria, types of cells, or protein expression in cells.

A rigorous determination of effector contributions of tumor-infiltrating immune cells is critical for identifying targetable molecular mechanisms for the development of novel cancer immunotherapies. A tumor/immune cell–admixture model is an advantageous strategy to study tumor immunology as the fundamental methodology is relatively straightforward, while also being adaptable to scale to address increasingly complex research queries. Ultimately, this method can provide robust experimental information to complement more traditional murine models of tumor immunology. Here, we describe a tumor/macrophage-admixture model using bone marrow–derived macrophages to investigate macrophage-dependent tumorigenesis. Additionally, we provide commentary on potential branch points for optimization with other immune cells, experimental techniques, and cancer types.

Telomeres are structures that cap the ends of linear chromosomes and play critical roles in maintaining genome integrity and establishing the replicative lifespan of cells. In stem and cancer cells, telomeres are actively elongated by either telomerase or the alternative lengthening of telomeres (ALT) pathway. This pathway is characterized by several hallmark features, including extrachromosomal C-rich circular DNAs that can be probed to assess ALT activity. These so-called C-circles are the product of ALT-associated DNA damage repair processes and simultaneously serve as potential templates for iterative telomere extension. This bifunctional nature makes C-circles highly sensitive and specific markers of ALT. Here, we describe a C-circle assay, adapted from previous reports, that enables the quantitation of C-circle abundance in mammalian cells subjected to a wide range of experimental perturbations. This protocol combines the Quick C-circle Preparation (QCP) method for DNA isolation with fluorometry-based DNA quantification, rolling circle amplification (RCA), and detection of C-circles using quantitative PCR. Moreover, the inclusion of internal standards with well-characterized telomere maintenance mechanisms (TMMs) allows for the reliable benchmarking of cells with unknown TMM status. Overall, our work builds upon existing protocols to create a generalizable workflow for in vitro C-circle quantitation and ascertainment of TMM identity.

Primary hematopoietic stem and progenitor cell (HSPC)-derived megakaryocytes are a valuable tool for translational research interrogating disease pathogenesis and developing new therapeutic avenues for patients with hematologic disorders including myeloproliferative neoplasms (MPNs). Thrombopoietin (TPO)-independent proliferation and megakaryocyte differentiation play a central role in the pathogenesis of essential thrombocythemia and myelofibrosis, two MPN subtypes that are characterized by increased numbers of bone marrow megakaryocytes and somatic mutations in either JAK2, CALR, or MPL. However, current culture strategies generally use healthy HSPCs for megakaryocyte production and are not optimized for the investigation of TPO-independent or TPO-hypersensitive growth and megakaryocyte-directed differentiation of primary patient–derived HSPCs. Here, we describe a detailed protocol covering all necessary steps for the isolation of CD34⁺ HSPCs from the peripheral blood of MPN patients and the subsequent TPO-independent differentiation into CD41⁺ megakaryocytes using both a collagen-based colony assay and a liquid culture assay. This protocol provides a novel, reproducible, and cost-effective approach for investigating megakaryocyte growth and differentiation properties from primary MPN patient cells that can be easily adapted for research on other megakaryocyte-related disorders.

Graphical abstract

Schematic representation of the isolation of CD34⁺ progenitor cells and subsequent TPO-independent megakaryocyte differentiation

The extracellular matrix (ECM) is a non-cellular network of macromolecules, which provides cells and tissues with structural support and biomechanical feedback to regulate cellular function, tissue tension, and homeostasis. Even subtle changes to ECM abundance, architecture, and organization can affect downstream biological pathways, thereby influencing normal cell and tissue function and also driving disease conditions. For example, in cancer, the ECM is well known to provide both biophysical and biochemical cues that influence cancer initiation, progression, and metastasis, highlighting the need to better understand cell–ECM interactions in cancer and other ECM-enriched diseases. Initial cell-derived matrix (CDM) models were used as an in vitro system to mimic and assess the physiologically relevant three-dimensional (3D) cell–ECM interactions. Here, we describe an expansion to these initial CDM models generated by fibroblasts to assess the effect of genetic or pharmacological intervention on fibroblast-mediated matrix production and organization. Additionally, we highlight current methodologies to quantify changes in the ultrastructure and isotropy of the resulting ECM and also provide protocols for assessing cancer cell interaction with CDMs. Understanding the nature and influence of these complex and heterogeneous processes can offer insights into the biomechanical and biochemical mechanisms, which drive cancer development and metastasis, and how we can target them to improve cancer outcomes.

CRISPR/Cas9 screening has revolutionized functional genomics in biomedical research and is a widely used approach for the identification of genetic dependencies in cancer cells. Here, we present an efficient and versatile protocol for the cloning of guide RNAs (gRNA) into lentiviral vectors, the production of lentiviral supernatants, and the transduction of target cells in a 96-well format. To assess the effect of gene knockouts on cellular fitness, we describe a competition-based cell proliferation assay using flow cytometry, enabling the screening of many genes at the same time in a fast and reproducible manner. This readout can be extended to any parameter that is accessible to flow-based measurements, such as protein expression and stability, differentiation, cell death, and others. In summary, this protocol allows to functionally assess the effect of a set of 50–300 gene knockouts on various cellular parameters within eight weeks.

Graphical abstract

Several assays have been developed to monitor the in vitro catalytic activity of Hedgehog acyltransferase (Hhat), an enzyme critical to the Hedgehog signaling pathway in cells. However, the majority of these previously reported assays involve radioactive fatty acyl donor substrates, multiple steps to achieve product readout, or specialized equipment. To increase safety, efficiency, and convenience, we developed a direct, fluorescent in vitro assay to monitor Hhat activity. Our assay utilizes purified Hhat, a fluorescently labeled fatty acyl-CoA donor substrate, and a Sonic hedgehog (Shh) peptide recipient substrate sufficient for fatty acylation. The protocol is a straightforward process that yields direct readout of fatty acylated Shh peptide via fluorescence detection of the transferred fatty acyl group.

Graphical abstract

Graphical abstract adapted from Schonbrun and Resh (2022)

N⁶-methyladenosine (m⁶A) is the most prevalent internal modification of eukaryotic messenger RNAs (mRNAs), affecting their fold, stability, degradation, and cellular interaction(s) and implicating them in processes such as splicing, translation, export, and decay. The m⁶A modification is also extensively present in non-coding RNAs, including microRNAs (miRNAs), ribosomal RNAs (rRNAs), and transfer RNAs (tRNAs). Common m6A methylation detection techniques play an important role in understanding the biological function and potential mechanism of m⁶A, mainly including the quantification and specific localization of m⁶A modification sites. Here, we describe in detail the dot blotting method for detecting m⁶A levels in RNA (mRNA as an example), including total RNA extraction, mRNA purification, dot blotting, and data analysis. This protocol can also be used to enrich specific RNAs (such as tRNA, rRNA, or miRNA) by isolation technology to detect the m⁶A level of single RNA species, so as to facilitate further studies of the role of m6A in biological processes.