Molecular Biology Skills Research Articles

Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils.

Eosinophils are a class of granulocytes with pleiotropic functions in homeostasis and various human diseases. Nevertheless, they are absent from conventional single-cell RNA sequencing atlases owing to technical difficulties preventing their transcriptomic interrogation. Consequently, eosinophil heterogeneity and the gene regulatory networks underpinning their diverse functions remain poorly understood. We have developed a stress-free protocol for single-cell RNA capture from murine tissue-resident eosinophils, which revealed distinct intestinal subsets and their roles in colitis. Here we describe in detail how to enrich eosinophils from multiple tissues of residence and how to capture high-quality single-cell transcriptomes by preventing transcript degradation. By combining magnetic eosinophil enrichment with microwell-based single-cell RNA capture (BD Rhapsody), our approach minimizes shear stress and processing time. Moreover, we report how to perform genome-wide CRISPR pooled genetic screening in ex vivo-conditioned bone marrow-derived eosinophils to functionally probe pathways required for their differentiation and intestinal maturation. These protocols can be performed by any researcher with basic skills in molecular biology and flow cytometry, and can be adapted to investigate other granulocytes, such as neutrophils and mast cells, thereby offering potential insights into their roles in both homeostasis and disease pathogenesis. Single-cell transcriptomics of eosinophils can be performed in 2-3 d, while functional genomics assays may require up to 1 month.

Proteomics reveals the potential mechanism of Tanshinone IIA in promoting the ExVivo expansion of human bone marrow mesenchymal stem cells.

Bone marrow mesenchymal stem cells (BMSCs) are a promising cell type for tissue engineering, however, the application of BMSCs is largely hampered by the limited number harvested from bone marrow cells. The methods or strategies that focused on promoting the capacity of BMSCs expansion exvivo become more and more important. Tanshinone IIA (Tan IIA), the main active components of Danshen, has been found to promote BMSCs proliferation, but the underlying mechanism is still unclear. The aim of this study is to explore the effect and underlying mechanism of Tan IIA on the expansion capacity of hBMSCs exvivo. In this present study, the effect of Tan IIA on the expansion capacity of BMSCs from human was investigated, and quantitative proteome analysis was applied furtherly to identify the differentially expressed proteins (DEPs) and the molecular signaling pathways in Tan IIA-treated hBMSCs. Finally, molecular biology skills were employed to verify the proposed mechanism of Tan IIA in promoting hBMSCs expansion. The results showed that a total of 84 DEPs were identified, of which 51 proteins were upregulated and 33 proteins were downregulated. Besides, Tan IIA could promote hBMSCs proliferation by regulating the progression of S phase via increasing the release of fibroblast growth factor 2 (FGF2), FGF-mediated PI3K/AKT signaling pathways may play an important role in Tan IIA's effect on hBMSCs expansion. This study employed molecular biology skills combined with quantitative proteome analysis, to some extent, clarified the mechanism of Tan IIA's effect on promoting hBMSCs proliferation, and will give a hint that Tan IIA may have the potential to be used for BMSCs applications in cell therapies in the future.

Barts and The London School of Medicine and Dentistry

The Institute of Dentistry at Barts and The School of Medicine and Dentistry, Queen Mary University of London, has seen much change since 1857 when surgeon dentist, H. J. Barrett, was appointed to The London to oversee the extraction of teeth. However, the mission remains the same: provision of excellent patient care through our education and research to improve the oral health and general health of our local population, but also with global impact.The Institute of Dentistry is embedded in a fundamentally multidisciplinary environment of the wider university and this is reflected in our research activity. The available complementary skills in cell and molecular biology, microbiology, materials science, chemistry, biophysics, clinical science and population health allows us to undertake basic science research, patient- and population-based research and clinical biometric research.Our Centre for Teaching and Innovation is a catalyst for educational research, including that related to new technologies and the expansion of e-learning, to ultimately inform local practice and the experience of our students.

Incorporation of Nature’s Design and Development in Higher Science Education Curriculum Design and Research Practice

The incorporation of nature’s design and development in the higher science education system and research practice is emphasized to foster improved awareness of foundational skills in molecular biology among learners. Multiple perspectives through the prism of global interest in molecular biology will have a huge ripple effect throughout the world of science while protecting the environment and preserving the ecosystem. Steps in the right and exciting directions could enhance the ability to carry out solution-focused and productive research activities on various topics in this interdisciplinary area and eventually result in new costeffective technologies, technology commercialization, and practical applications. It is clear that in the long run, the benefits of research practice will have a significant positive impact on society.

Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture.

Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries. This approach is modular and has been adapted and optimised to work for sampling of disperse DNA elements (NuTi Capture-C), including from low-cell inputs (LI Capture-C), as well as to generate Hi-C like maps for specific regions of interest (Tiled-C) and to interrogate multi-way interactions (Tri-C). We present the design, experimental protocol and analysis pipeline for NuTi Capture-C in addition to the variations for generation of LI Capture-C, Tiled-C and Tri-C data. The entire procedure can be performed in three weeks and requires standard molecular biology skills and equipment, access to a next-generation sequencing platform, and basic bioinformatic skills. Implemented with other sequencing technologies, these methods can be used to identify regulatory interactions and to compare the structural organisation of the genome in different cell types and genetic models.

Initial Evaluation of a Mobile SARS-CoV-2 RT-LAMP Testing Strategy.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) control in the United States remains hampered, in part, by testing limitations. We evaluated a simple, outdoor, mobile, colorimetric reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay workflow where self-collected saliva is tested for SARS-CoV-2 RNA. From July 16, 2020, to November 19, 2020, surveillance samples (n = 4704) were collected from volunteers and tested for SARS-CoV-2 at 5 sites. Twenty-one samples tested positive for SARS-CoV-2 by RT-LAMP; 12 were confirmed positive by subsequent quantitative reverse-transcription polymerase chain reaction (qRT-PCR) testing, whereas 8 tested negative for SARS-CoV-2 RNA, and 1 could not be confirmed because the donor did not consent to further molecular testing. We estimated the false-negative rate of the RT-LAMP assay only from July 16, 2020, to September 17, 2020 by pooling residual heat-inactivated saliva that was unambiguously negative by RT-LAMP into groups of 6 or fewer and testing for SARS-CoV-2 RNA by qRT-PCR. We observed a 98.8% concordance between the RT-LAMP and qRT-PCR assays, with only 5 of 421 RT-LAMP-negative pools (2493 total samples) testing positive in the more-sensitive qRT-PCR assay. Overall, we demonstrate a rapid testing method that can be implemented outside the traditional laboratory setting by individuals with basic molecular biology skills and that can effectively identify asymptomatic individuals who would not typically meet the criteria for symptom-based testing modalities.

DNA copy-number measurement of genome replication dynamics by high-throughput sequencing: the sort-seq, sync-seq and MFA-seq family.

Genome replication follows a defined temporal programme that can change during cellular differentiation and disease onset. DNA replication results in an increase in DNA copy number that can be measured by high-throughput sequencing. Here we present a protocol to determine genome replication dynamics using DNA copy-number measurements. Cell populations can be obtained in three variants of the method. First, sort-seq reveals the average replication dynamics across S phase in an unperturbed cell population; FACS is used to isolate replicating and non-replicating subpopulations from asynchronous cells. Second, sync-seq measures absolute replication time at specific points during S phase using a synchronized cell population. Third, marker frequency analysis can be used to reveal the average replication dynamics using copy-number analysis in any proliferating asynchronous cell culture. These approaches have been used to reveal genome replication dynamics in prokaryotes, archaea and a wide range of eukaryotes, including yeasts and mammalian cells. We have found this approach straightforward to apply to other organisms and highlight example studies from across the three domains of life. Here we present a Saccharomyces cerevisiae version of the protocol that can be performed in 7-10 d. It requires basic molecular and cellular biology skills, as well as a basic understanding of Unix and R.

One-step site-specific antibody fragment auto-conjugation using SNAP-tag technology.

Antibody-based diagnostic and therapeutic agents play a substantial role in medicine, especially in cancer management. A variety of chemical, genetic and enzymatic site-specific conjugation methods have been developed for equipping antibodies with effector molecules to generate homogeneous antibody conjugates with tailored properties. However, most of these methods are relatively complicated and expensive and require several reaction steps. Self-labeling proteins such as the SNAP-tag are an innovative solution for addressing these challenges. The SNAP-tag is a modified version of the human DNA repair enzyme alkylguanine-DNA alkyltransferase (AGT), which reacts specifically with O(6)-benzylguanine (BG)-modified molecules via irreversible transfer of an alkyl group to a cysteine residue. It provides a simple, controlled and robust site-specific method for labeling antibodies with different synthetic small effector molecules. Fusing a SNAP-tag to recombinant antibodies allows efficient conjugation of BG-containing substrates by autocatalytic, irreversible transfer of the alkyl group to a cysteine residue in the enzyme's active site under physiological conditions and with a 1:1 stoichiometry. This protocol describes how to generate site-specific SNAP-tag single-chain antibody fragment (scFv) conjugates with different types of BG-modified effector molecules. A specific example is included for the design and production of an scFv-photosensitizer conjugate and its characterization as an immuno-theranostic agent. This protocol includes DNA sequences encoding scFV-SNAP-tag fusion proteins and outlines strategies for expression, purification and testing of the resulting scFv-SNAP-tag-based immuno-conjugates. All experiments can be performed by a graduate-level researcher with basic molecular biology skills within an 8-week time frame.

RNA sequencing and swarm intelligence-enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA.

Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease diagnostics and enable minimally invasive therapy monitoring. However, selection of the most relevant biomarkers from liquid biosources remains an immense challenge. We recently presented the thromboSeq pipeline, which enables RNA sequencing and cancer classification via self-learning and swarm intelligence-enhanced bioinformatics algorithms using blood platelet RNA. Here, we provide the wet-lab protocol for the generation of platelet RNA-sequencing libraries and the dry-lab protocol for the development of swarm intelligence-enhanced machine-learning-based classification algorithms. The wet-lab protocol includes platelet RNA isolation, mRNA amplification, and preparation for next-generation sequencing. The dry-lab protocol describes the automated FASTQ file pre-processing to quantified gene counts, quality controls, data normalization and correction, and swarm intelligence-enhanced support vector machine (SVM) algorithm development. This protocol enables platelet RNA profiling from 500 pg of platelet RNA and allows automated and optimized biomarker panel selection. The wet-lab protocol can be performed in 5 d before sequencing, and the algorithm development can be completed in 2 d, depending on computational resources. The protocol requires basic molecular biology skills and a basic understanding of Linux and R. In all, with this protocol, we aim to enable the scientific community to test platelet RNA for diagnostic algorithm development.

Monitoring early S-phase origin firing and replication fork movement by sequencing nascent DNA from synchronized cells.

A better understanding of DNA replication initiation in human cells and how this process is altered upon DNA replication stress requires the ability to study origin firing genome wide. Previously described methods of mapping DNA replication origins in higher eukaryotes rely principally on fractionation of DNA fragments based on their size and, optionally, on the presence of ribonucleotides at their 5' end. Here, we describe a protocol for EdUseq-HU, a method for mapping early S-phase replication origins. Cells, synchronized by mitotic shake-off, are released in medium containing 5-ethynyl-2'-deoxyuridine (EdU; to label nascent DNA) and hydroxyurea (HU; to limit fork progression after origin firing). After using click chemistry to tag the EdU label with a biotin conjugate that is cleavable under mild conditions, the nascent DNA is captured on streptavidin beads. One variant of EdUseq-HU allows mapping of DNA replication origins on the genome at a resolution of 10 kb, and a second variant monitors progression of replication forks. Using EdUseq-HU, the spatiotemporal program of DNA replication in human cell lines can be interrogated in <2 weeks. The protocol requires basic cell culture and molecular biology skills, as well as familiarity with the Perl programming language and the Linux operating system.

Genome-wide analysis of replication timing by next-generation sequencing with E/L Repli-seq.

This protocol is an extension to: Nat. Protoc. 6, 870-895 (2014); doi:10.1038/nprot.2011.328; published online 02 June 2011Cycling cells duplicate their DNA content during S phase, following a defined program called replication timing (RT). Early- and late-replicating regions differ in terms of mutation rates, transcriptional activity, chromatin marks and subnuclear position. Moreover, RT is regulated during development and is altered in diseases. Here, we describe E/L Repli-seq, an extension of our Repli-chip protocol. E/L Repli-seq is a rapid, robust and relatively inexpensive protocol for analyzing RT by next-generation sequencing (NGS), allowing genome-wide assessment of how cellular processes are linked to RT. Briefly, cells are pulse-labeled with BrdU, and early and late S-phase fractions are sorted by flow cytometry. Labeled nascent DNA is immunoprecipitated from both fractions and sequenced. Data processing leads to a single bedGraph file containing the ratio of nascent DNA from early versus late S-phase fractions. The results are comparable to those of Repli-chip, with the additional benefits of genome-wide sequence information and an increased dynamic range. We also provide computational pipelines for downstream analyses, for parsing phased genomes using single-nucleotide polymorphisms (SNPs) to analyze RT allelic asynchrony, and for direct comparison to Repli-chip data. This protocol can be performed in up to 3 d before sequencing, and requires basic cellular and molecular biology skills, as well as a basic understanding of Unix and R.

ADP-ribose-specific chromatin-affinity purification for investigating genome-wide or locus-specific chromatin ADP-ribosylation.

Protein ADP-ribosylation is a structurally heterogeneous post-translational modification (PTM) that influences the physicochemical and biological properties of the modified protein. ADP-ribosylation of chromatin changes its structural properties, thereby regulating important nuclear functions. A lack of suitable antibodies for chromatin immunoprecipitation (ChIP) has so far prevented a comprehensive analysis of DNA-associated protein ADP-ribosylation. To analyze chromatin ADP-ribosylation, we recently developed a novel ADP-ribose-specific chromatin-affinity purification (ADPr-ChAP) methodology that uses the recently identified ADP-ribose-binding domains RNF146 WWE and Af1521. In this protocol, we describe how to use this robust and versatile method for genome-wide and loci-specific localization of chromatin ADP-ribosylation. ADPr-ChAP enables bioinformatic comparisons of ADP-ribosylation with other chromatin modifications and is useful for understanding how ADP-ribosylation regulates biologically important cellular processes. ADPr-ChAP takes 1 week and requires standard skills in molecular biology and biochemistry. Although not covered in detail here, this technique can also be combined with conventional ChIP or DNA analysis to define the histone marks specifically associated with the ADP-ribosylated chromatin fractions and dissect the molecular mechanism and functional role of chromatin ADP-ribosylation.

Retroviral Transduction of Helper T Cells as a Genetic Approach to Study Mechanisms Controlling their Differentiation and Function

Helper T cell development and function must be tightly regulated to induce an appropriate immune response that eliminates specific pathogens yet prevents autoimmunity. Many approaches involving different model organisms have been utilized to understand the mechanisms controlling helper T cell development and function. However, studies using mouse models have proven to be highly informative due to the availability of genetic, cellular, and biochemical systems. One genetic approach in mice used by many labs involves retroviral transduction of primary helper T cells. This is a powerful approach due to its relative ease, making it accessible to almost any laboratory with basic skills in molecular biology and immunology. Therefore, multiple genes in wild type or mutant forms can readily be tested for function in helper T cells to understand their importance and mechanisms of action. We have optimized this approach and describe here the protocols for production of high titer retroviruses, isolation of primary murine helper T cells, and their transduction by retroviruses and differentiation toward the different helper subsets. Finally, the use of this approach is described in uncovering mechanisms utilized by microRNAs (miRNAs) to regulate pathways controlling helper T cell development and function.

Retroviral Transduction of Helper T Cells as a Genetic Approach to Study Mechanisms Controlling their Differentiation and Function

Helper T cell development and function must be tightly regulated to induce an appropriate immune response that eliminates specific pathogens yet prevents autoimmunity. Many approaches involving different model organisms have been utilized to understand the mechanisms controlling helper T cell development and function. However, studies using mouse models have proven to be highly informative due to the availability of genetic, cellular, and biochemical systems. One genetic approach in mice used by many labs involves retroviral transduction of primary helper T cells. This is a powerful approach due to its relative ease, making it accessible to almost any laboratory with basic skills in molecular biology and immunology. Therefore, multiple genes in wild type or mutant forms can readily be tested for function in helper T cells to understand their importance and mechanisms of action. We have optimized this approach and describe here the protocols for production of high titer retroviruses, isolation of primary murine helper T cells, and their transduction by retroviruses and differentiation toward the different helper subsets. Finally, the use of this approach is described in uncovering mechanisms utilized by microRNAs (miRNAs) to regulate pathways controlling helper T cell development and function.

Remodeling somatic nuclei via exogenous expression of protamine 1 to create spermatid-like structures for somatic nuclear transfer.

This protocol describes how to convert the chromatin structure of sheep and mouse somatic cells into spermatid-like nuclei through the heterologous expression of the protamine 1 gene (Prm1). Furthermore, we also provide step-by-step instructions for somatic cell nuclear transfer (SCNT) of Prm1-remodeled somatic nuclei in sheep oocytes. There is evidence that changing the organization of a somatic cell nucleus with that which mirrors the spermatozoon nucleus leads to better nuclear reprogramming. The protocol may have further potential application in determining the protamine and histone footprints of the whole genome; obtaining 'gametes' from somatic cells; and furthering understanding of the molecular mechanisms regulating the maintenance of DNA methylation in imprinted control regions during male gametogenesis. The protocol is straightforward, and it requires 4 weeks from the establishment of the cell lines to their transfection and the production of cloned blastocysts. It is necessary for researchers to have experience in cell biology and embryology, with basic skills in molecular biology, to carry out the protocol.

Single-cell Hi-C for genome-wide detection of chromatin interactions that occur simultaneously in a single cell.

Hi-C is a powerful method that provides pairwise information on genomic regions in spatial proximity in the nucleus. Hi-C requires millions of cells as input and, as genome organization varies from cell to cell, a limitation of Hi-C is that it only provides a population average of genome conformations. We developed single-cell Hi-C to create snapshots of thousands of chromatin interactions that occur simultaneously in a single cell. To adapt Hi-C to single-cell analysis, we modified the protocol to include in-nucleus ligation. This enables the isolation of single nuclei carrying Hi-C-ligated DNA into separate tubes, followed by reversal of cross-links, capture of biotinylated ligation junctions on streptavidin-coated magnetic beads and PCR amplification of single-cell Hi-C libraries. The entire laboratory protocol can be carried out in 1 week, and although we have demonstrated its use in mouse T helper (TH1) cells, it should be applicable to any cell type or species for which standard Hi-C has been successful. We also developed an analysis pipeline to filter noise and assess the quality of data sets in a few hours. Although the interactome maps produced by single-cell Hi-C are sparse, the data provide useful information to understand cellular variability in nuclear genome organization and chromosome structure. Standard wet and dry laboratory skills in molecular biology and computational analysis are required.

Alan Hall (1952-2015), an Englishman in New York.

Alan closing his departing speech at LMCB in 2006 by featuring his lab. Image by Ione Karney. ![][1] Alan Hall died of a heart attack during his regular Sunday morning jog on May 3rd in New York City, where he had lived with his wife Eileen. Alan's untimely and unexpected death happened just a couple of weeks before his 63rd birthday, which he would undoubtedly have celebrated with his two children and two young grandchildren. Before joining the Sloane Kettering Institute as chair of the cell biology program in 2006, most of Alan's career was spent in the UK. After graduating from Oxford, he stayed in town to start his PhD with Jeremy Knowles, but he received his first exposure to US science quite unintentionally when Jeremy announced he was relocating to Harvard after two months. Over his four years in Harvard, Alan perfected his training in biochemistry. He then did a two‐year postdoc with Charles Weissmann (University of Zurich) where he developed his molecular biology skills and helped clone interferon. It was only after joining the Institute of … [1]: /embed/graphic-1.gif

Optimized sample preparation for single-molecule localization-based superresolution microscopy in yeast.

Single-molecule localization-based superresolution microscopy methods allow the resolution of cellular structures in the range of tens of nanometers. However, these techniques are of limited use in current yeast labeling protocols, owing to problems with structural preservation. Here we describe an optimized sample preparation protocol that enables single-molecule localization microscopy at high resolution combined with improved structural preservation in Saccharomyces cerevisiae. The protocol uses small binders called nanobodies and an enzymatic labeling strategy to deliver organic dyes to the target protein. These small binders readily penetrate through the yeast cell wall and thus eliminate the requirement for its prior degradation, and they allow structural preservation. In addition, the small size of the binders reduces the distance of the dye to the target protein, and thus it reduces the localization error. The preparation of S. cerevisiae cells for superresolution imaging takes 2-4 h to perform. Researchers should have skills in yeast molecular biology, immunolabeling techniques and access to a microscope equipped for single-molecule imaging.

Profiling DNA methylome landscapes of mammalian cells with single-cell reduced-representation bisulfite sequencing.

The heterogeneity of DNA methylation within a population of cells necessitates DNA methylome profiling at single-cell resolution. Recently, we developed a single-cell reduced-representation bisulfite sequencing (scRRBS) technique in which we modified the original RRBS method by integrating all the experimental steps before PCR amplification into a single-tube reaction. These modifications enable scRRBS to provide digitized methylation information on ∼1 million CpG sites within an individual diploid mouse or human cell at single-base resolution. Compared with the single-cell bisulfite sequencing (scBS) technique, scRRBS covers fewer CpG sites, but it provides better coverage for CpG islands (CGIs), which are likely to be the most informative elements for DNA methylation. The entire procedure takes ∼3 weeks, and it requires strong molecular biology skills.

Simultaneous measurement of genome-wide transcription elongation speeds and rates of RNA polymerase II transition into active elongation with 4sUDRB-seq.

4sUDRB-seq separately measures, on a genomic scale, the distinct contributions of transcription elongation speed and rate of RNA polymerase II (Pol II) transition into active elongation (TAE) to the overall mRNA production rate. It uses reversible inhibition of transcription elongation with 5,6-dichloro-1-β-D-ribofuranosylbenzimidazole (DRB), combined with a pulse of 4-thiouridine (4sU), to tag newly transcribed RNA. After DRB removal, cells are collected at several time points, and tagged RNA is biotinylated, captured on streptavidin beads and sequenced. 4sUDRB-seq enables the comparison of elongation speeds between different developmental stages or different cell types, and it allows the impact of specific transcription factors on transcription elongation speed versus TAE to be studied. RNA preparation takes ∼4 d to complete, with deep sequencing requiring an additional ∼4-11 d plus 1-3 d for bioinformatics analysis. The experimental protocol requires basic molecular biology skills, whereas data analysis requires knowledge in bioinformatics, particularly MATLAB and the Linux environment.