Health startups are being corralled by the NHS and the government to point their talents at the COVID-19 pandemic, while others are volunteering services to help stymie the spread of the infectious new disease

The Government today announced the establishment of a LawTech Fund to help law firms and barristers' chambers procure and upgrade information technology (IT) systems and arrange lawtech training courses for their staff.

In a statement, the Department of Justice said the LawTech Fund, established under the Anti-epidemic Fund, will be open for applications from April 28 and cater to small and medium-size law firms as well as barristers’ chambers.

Applications will be accepted for two months and those eligible can receive a reimbursement of up to $50,000.

The Law Society of Hong Kong and the Hong Kong Bar Association will establish a joint committee to assess the applications and arrange funding disbursement.

More than 60% of law firms and 50% of barristers' chambers in Hong Kong are expected to benefit from the funding.

As for funding eligibility, law firms or chambers must have five or fewer practising lawyers as at April 8 and at the time of granting the subsidy.

The subsidies must be used for procuring and upgrading IT systems, including but not confined to video-conferencing facilities. The lawtech training that is to receive the subsidy must be recognised and approved by the joint committee.

The application form and guidance notes are available at the homepages of the Law Society and the Bar Association.

The Secretary for Justice has given an outline of the fund and discussed lawtech in her blog.

The onset of COVID-19 has severely affected our economy and the legal sector was not spared. I have discussed with some of the representatives from the industry and we have carefully considered their suggestions with relevant government departments.

On Wednesday, the Government announced another package of measures to support individuals and businesses affected by COVID-19. Two of the measures are relevant to the legal sector: the establishment of LawTech Fund and the COVID-19 Online Dispute Resolution (ODR) Scheme. Today, I would like to share with you the arrangement of the LawTech Fund.

The Government always attaches great importance to LawTech. In her 2018 Policy Address, the Chief Executive supported the development of an online platform by non-government organisations to facilitate the provision of efficient and cost-effective online dispute resolution services in Hong Kong. The Government would allocate funding for the development of this project.

At the Ceremonial Opening of the Legal Year 2019, I emphasised the importance of making use of technology in providing legal services, citing the United Nations General Assembly in 2016 in observing that online dispute resolution "can assist the parties in resolving the dispute in a simple, fast, flexible, and secure manner, without the need for physical presence at a meeting or hearing". The Asia-Pacific Economic Cooperation had responded to the call and embarked on a project to establish an ODR framework with micro, small and medium-sized enterprises as major beneficiaries.

Almost 18% of the annual caseload of the courts at all levels have been affected in the first two months of the General Adjourned Period since January 29. The Judiciary has earlier started using video-conferencing facilities for remote hearings on suitable civil cases at the High Court. The media reported the first hearing conducted through video-conferencing, quoting the legal representatives of both parties being supportive of the Judiciary's new measures in view of the low cost and smooth operation.

Given the severe impact brought by COVID-19, the Judiciary has been exploring the use of various technological means in conducting different types of hearings to address the growing backlog of cases caused by the postponement of hearings. The legal sector should also take this opportunity to review the wider use of LawTech and enhance their technological capability. The Government introduced the LawTech Fund, which aims to assist some small and medium size law firms/barristers' chambers in procuring and upgrading information technology systems (such as video-conferencing facilities) and attending LawTech training courses. This will be conducive to the promotion of use of technologies in the provision of legal services.

Under the scheme, law firms and chambers with not more than five practicing lawyers are eligible for application. Each firm/chamber will be eligible for a reimbursable amount of up to $50,000. Application for the fund will be jointly administered by the Law Society of Hong Kong and the Hong Kong Bar Association. The details will be announced soon and the fund will be opened for application next month.

Other measures announced by the Government include: Enhancement of SME Financing Guarantee Scheme, Employment Support Scheme under which the Government will provide wage subsidy to eligible employers to retain employees (details will be available soon), as well as the creation of some time-limited jobs by the Department of Justice.

Government measures alone, however, would not be adequate. We must all stand united in solidarity to fight the virus and support Hong Kong.

Secretary for Justice Teresa Cheng wrote this article and posted it on her blog on April 11.

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Education secretary, Damian Hinds, wants schools across the UK to “take advantage of all of the opportunities available through Edtech” in the government's new strategy

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Seventy-year-old Theresa Chan suffers from joint degeneration, which is why she needs a walking stick.

“My joints are severely abraded. They are painful when I walk or stand. My doctor suggested I replace some joints with implants, but I don't want surgery,” she said.

Smart seniors

Interested in how gerontechnology can help improve the quality of life for older adults, Ms Chan joined the Gerontechnology Practitioner Training Course under Lingnan University’s Gerontechnology & Smart Ageing Project.

The course targets elderly people and caregivers. It introduces them to devices that help seniors get around with ease and live more independent lives.

Ms Chan was impressed by a smart walking stick that is equipped with senior-worthy features like a flashlight with an adjustable safety light, a siren for emergency use and a radio.

“I am grateful for the course because I can learn more about gerontechnology in my free time. After class, I can share my knowledge with others who have no idea about this new technology. It is modern and I want to keep up with the times and progress,” she said.

Youth opportunities

Gerontechnology has also opened up career opportunities for young people.

Cecilia Auyeung recently graduated from Lingnan University with a major in marketing. Last year she set up a social enterprise called Gatherly. It provides a platform for the elderly to teach other people handicraft skills and helps them to sell their products online.

Ms Auyeung joined the Socialpreneur Incubation Course under the Lingnan University project. It encourages the development of social enterprises in Hong Kong, gerontechnology and marketing. She quickly drew inspiration from other socialpreneurs.

“I discovered that my social enterprise has to change every two years according to market demands. For example, fabric bags are popular among youngsters. While the elderly at Gatherly are equipped with blue-dye techniques, I make use of their skills to create products that match the market situation.”

University contribution

According to the Census & Statistics Department, in 2036, the proportion of the population aged 65 and over is projected to be 31%. To meet the needs of an ageing population, the Government is promoting gerontechnology, which combines gerontology and technology. It focuses on providing effective solutions to increase vitality and quality of life.

The Lingnan University’s three-year project aims to enhance public understanding of gerontechnology and support smart ageing socialpreneurship development. The project also covers studies with the goal of building a database for gerontech products and services as well as social innovation and startups. The overall vision is to offer policy recommendations to the industry and Government.

Lingnan University Asia-Pacific Institute of Ageing Studies Project Manager Chloe Siu said: “Most of the participating students are willing to think out-of-the-box, using their creativity and knowledge learnt from their courses and to echo the needs of the society. We are trying to facilitate different stakeholders and community partners to create a co-working atmosphere.”

The university has also built a 2,000 sq ft Gerontech-X Lab to display over 40 gerontech products catered to healthcare, dining, living and transport. Anyone interested can book an appointment for a free visit from November 28.

(Carnegie Mellon University) A new study developed a model of regulation in which the probability of a stricter standard being enacted increased with the proportion of firms in an industry that could meet the standard. The study found that regulations that consider the proportion of firms that can meet the new standard can motivate the development of a new green technology more effectively than regulations that do not consider this factor.

(University of Massachusetts Amherst) As physicians and families know too well, though Alzheimer's disease has been intensely studied for decades, too much is still not known about molecular processes in the brain that cause it. Now researchers at the University of Massachusetts Amherst say new insights from analytic theory and molecular simulation techniques offer a better understanding of amyloid fibril growth and brain pathology.

(American Chemical Society) Modern society relies on polymers, such as polypropylene or polyethylene plastic, for a wide range of applications, from food containers to automobile parts to medical devices. However, like people, polymers age, and when they do, the materials become prone to cracking or breaking. Now, researchers reporting in ACS Central Science have developed a method to visualize variations in polymers that arise with age.

(University of Adelaide) An international team of scientists led by the University of Adelaide's Davies Research Centre has shown that it is possible to disentangle the DNA sequences of the chromosomes inherited from the mother and the father, to create true diploid genomes from a single individual.

(Purdue University) New environmentally friendly technologies promise to be 'game changers' in the rare earth metals field and enable the US to create a more stable and reliable domestic source of these essential metals. Purdue University patented extraction and purifying processes using ligand-assisted chromatography are shown to remove and purify such metals from coal ash, recycled magnets and raw ore safely, efficiently and with virtually no detrimental environmental impact.

Russell E. Glasgow
Apr 1, 2001; 14:
Feature Articles

James A. Wilkins
Apr 13, 2020; 0:RA120.001944v1-mcp.RA120.001944
Research

Anne-Claude Gingras
Apr 1, 2020; 19:572-573
Editorial

8 August 2019

Research Event

Event participants

Rt Hon Baroness Neville-Jones DCMG, Minister of State for Security and Counter Terrorism (2010-11)
Jamie Condliffe, Editor, DealBook Newsletter and Writer, Bits Tech Newsletter, The New York Times
Jamie Saunders, Partner, Wychwood Partners LLP; Visiting Professor, University College London
Chair: Dr Patricia Lewis, Research Director, International Security Department, Chatham House

In bottom-up, label-free discovery proteomics, biological samples are acquired in a data-dependent (DDA) or data-independent (DIA) manner, with peptide signals recorded in an intact (MS1) and fragmented (MS2) form. While DDA has only the MS1 space for quantification, DIA contains both MS1 and MS2 at high quantitative quality. DIA profiles of complex biological matrices such as tissues or cells can contain quantitative interferences, and the interferences at the MS1 and the MS2 signals are often independent. When comparing biological conditions, the interferences can compromise the detection of differential peptide or protein abundance and lead to false positive or false negative conclusions.

We hypothesized that the combined use of MS1 and MS2 quantitative signals could improve our ability to detect differentially abundant proteins. Therefore, we developed a statistical procedure incorporating both MS1 and MS2 quantitative information of DIA. We benchmarked the performance of the MS1-MS2-combined method to the individual use of MS1 or MS2 in DIA using four previously published controlled mixtures, as well as in two previously unpublished controlled mixtures. In the majority of the comparisons, the combined method outperformed the individual use of MS1 or MS2. This was particularly true for comparisons with low fold changes, few replicates, and situations where MS1 and MS2 were of similar quality. When applied to a previously unpublished investigation of lung cancer, the MS1-MS2-combined method increased the coverage of known activated pathways.

Since recent technological developments continue to increase the quality of MS1 signals (e.g. using the BoxCar scan mode for Orbitrap instruments), the combination of the MS1 and MS2 information has a high potential for future statistical analysis of DIA data.

Top-down proteomics studies intact proteoform mixtures and offers important advantages over more common bottom-up proteomics technologies, as it avoids the protein inference problem. However, achieving complete molecular characterization of investigated proteoforms using existing technologies remains a fundamental challenge for top-down proteomics. Here, we benchmark the performance of ultraviolet photodissociation (UVPD) using 213 nm photons generated by a solid-state laser applied to the study of intact proteoforms from three organisms. Notably, the described UVPD setup applies multiple laser pulses to induce ion dissociation, and this feature can be used to optimize the fragmentation outcome based on the molecular weight of the analyzed biomolecule. When applied to complex proteoform mixtures in high-throughput top-down proteomics, 213 nm UVPD demonstrated a high degree of complementarity with the most employed fragmentation method in proteomics studies, higher-energy collisional dissociation (HCD). UVPD at 213 nm offered higher average proteoform sequence coverage and degree of proteoform characterization (including localization of post-translational modifications) than HCD. However, previous studies have shown limitations in applying database search strategies developed for HCD fragmentation to UVPD spectra which contains up to nine fragment ion types. We therefore performed an analysis of the different UVPD product ion type frequencies. From these data, we developed an ad hoc fragment matching strategy and determined the influence of each possible ion type on search outcomes. By paring down the number of ion types considered in high-throughput UVPD searches from all types down to the four most abundant, we were ultimately able to achieve deeper proteome characterization with UVPD. Lastly, our detailed product ion analysis also revealed UVPD cleavage propensities and determined the presence of a product ion produced specifically by 213 nm photons. All together, these observations could be used to better elucidate UVPD dissociation mechanisms and improve the utility of the technique for proteomic applications.

The presentation of peptides on class I human leukocyte antigen (HLA-I) molecules plays a central role in immune recognition of infected or malignant cells. In cancer, non-self HLA-I ligands can arise from many different alterations, including non-synonymous mutations, gene fusion, cancer-specific alternative mRNA splicing or aberrant post-translational modifications. Identifying HLA-I ligands remains a challenging task that requires either heavy experimental work for in vivo identification or optimized bioinformatics tools for accurate predictions. To date, no HLA-I ligand predictor includes post-translational modifications. To fill this gap, we curated phosphorylated HLA-I ligands from several immunopeptidomics studies (including six newly measured samples) covering 72 HLA-I alleles and retrieved a total of 2,066 unique phosphorylated peptides. We then expanded our motif deconvolution tool to identify precise binding motifs of phosphorylated HLA-I ligands. Our results reveal a clear enrichment of phosphorylated peptides among HLA-C ligands and demonstrate a prevalent role of both HLA-I motifs and kinase motifs on the presentation of phosphorylated peptides. These data further enabled us to develop and validate the first predictor of interactions between HLA-I molecules and phosphorylated peptides.

Protein-protein interactions play a vital role in nearly all cellular functions. Hence, understanding their interaction patterns and three-dimensional structural conformations can provide crucial insights about various biological processes and underlying molecular mechanisms for many disease phenotypes. Cross-linking mass spectrometry (XL-MS) has the unique capability to detect protein-protein interactions at a large scale along with spatial constraints between interaction partners. The inception of MS-cleavable cross-linkers enabled the MS2-MS3 XL-MS acquisition strategy that provides cross-link information from both MS2 and MS3 level. However, the current cross-link search algorithm available for MS2-MS3 strategy follows a "MS2-centric" approach and suffers from a high rate of mis-identified cross-links. We demonstrate the problem using two new quality assessment metrics ["fraction of mis-identifications" (FMI) and "fraction of interprotein cross-links from known interactions" (FKI)]. We then address this problem, by designing a novel "MS3-centric" approach for cross-link identification and implementing it as a search engine named MaXLinker. MaXLinker outperforms the currently popular search engine with a lower mis-identification rate, and higher sensitivity and specificity. Moreover, we performed human proteome-wide cross-linking mass spectrometry using K562 cells. Employing MaXLinker, we identified a comprehensive set of 9319 unique cross-links at 1% false discovery rate, comprising 8051 intraprotein and 1268 interprotein cross-links. Finally, we experimentally validated the quality of a large number of novel interactions identified in our study, providing a conclusive evidence for MaXLinker's robust performance.

The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for de novo biomarker discovery and for biomarker quantification or verification experiments. To achieve this goal, MRM assays were developed for multiplexed concentration measurement of proteins in DBSs.

The lower limit of quantification (LLOQ) was found to have a median total coefficient of variation (CV) of 18% for 245 proteins, whereas the median LLOQ was 5 fmol of peptide injected on column, and the median inter-day CV over 4 days for measuring endogenous protein concentration was 8%. The majority (88%) of the assays displayed parallelism, whereas the peptide standards remained stable throughout the assay workflow and after exposure to multiple freeze-thaw cycles. For 190 proteins, the measured protein concentrations remained stable in DBS stored at ambient laboratory temperature for up to 2 months. Finally, the developed assays were used to measure the concentration ranges for 200 proteins in twenty same sex, same race and age matched individuals.

Dynamic tyrosine phosphorylation is fundamental to a myriad of cellular processes. However, the inherently low abundance of tyrosine phosphorylation in the proteome and the inefficient enrichment of phosphotyrosine(pTyr)-containing peptides has led to poor pTyr peptide identification and quantitation, critically hindering researchers' ability to elucidate signaling pathways regulated by tyrosine phosphorylation in systems where cellular material is limited. The most popular approaches to wide-scale characterization of the tyrosine phosphoproteome use pTyr enrichment with pan-specific, anti-pTyr antibodies from a large amount of starting material. Methods that decrease the amount of starting material and increase the characterization depth of the tyrosine phosphoproteome while maintaining quantitative accuracy and precision would enable the discovery of tyrosine phosphorylation networks in rarer cell populations. To achieve these goals, the BOOST (Broad-spectrum Optimization Of Selective Triggering) method leveraging the multiplexing capability of tandem mass tags (TMT) and the use of pervanadate (PV) boost channels (cells treated with the broad-spectrum tyrosine phosphatase inhibitor PV) selectively increased the relative abundance of pTyr-containing peptides. After PV boost channels facilitated selective fragmentation of pTyr-containing peptides, TMT reporter ions delivered accurate quantitation of each peptide for the experimental samples while the quantitation from PV boost channels was ignored. This method yielded up to 6.3-fold boost in pTyr quantification depth of statistically significant data derived from contrived ratios, compared with TMT without PV boost channels or intensity-based label-free (LF) quantitation while maintaining quantitative accuracy and precision, allowing quantitation of over 2300 unique pTyr peptides from only 1 mg of T cell receptor-stimulated Jurkat T cells. The BOOST strategy can potentially be applied in analyses of other post-translational modifications where treatments that broadly elevate the levels of those modifications across the proteome are available.

State-of-the-art proteomics-grade mass spectrometers can measure peptide precursors and their fragments with ppm mass accuracy at sequencing speeds of tens of peptides per second with attomolar sensitivity. Here we describe a compact and robust quadrupole-orbitrap mass spectrometer equipped with a front-end High Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Interface. The performance of the Orbitrap Exploris 480 mass spectrometer is evaluated in data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes in combination with FAIMS. We demonstrate that different compensation voltages (CVs) for FAIMS are optimal for DDA and DIA, respectively. Combining DIA with FAIMS using single CVs, the instrument surpasses 2500 peptides identified per minute. This enables quantification of >5000 proteins with short online LC gradients delivered by the Evosep One LC system allowing acquisition of 60 samples per day. The raw sensitivity of the instrument is evaluated by analyzing 5 ng of a HeLa digest from which >1000 proteins were reproducibly identified with 5 min LC gradients using DIA-FAIMS. To demonstrate the versatility of the instrument, we recorded an organ-wide map of proteome expression across 12 rat tissues quantified by tandem mass tags and label-free quantification using DIA with FAIMS to a depth of >10,000 proteins.

We present a technological advancement for the estimation of the affinities of Protein-Protein Interactions (PPIs) in living cells. A novel set of vectors is introduced that enables a quantitative yeast two-hybrid system based on fluorescent fusion proteins. The vectors allow simultaneous quantification of the reaction partners (Bait and Prey) and the reporter at the single-cell level by flow cytometry. We validate the applicability of this system on a small but diverse set of PPIs (eleven protein families from six organisms) with different affinities; the dissociation constants range from 117 pm to 17 μm. After only two hours of reaction, expression of the reporter can be detected even for the weakest PPI. Through a simple gating analysis, it is possible to select only cells with identical expression levels of the reaction partners. As a result of this standardization of expression levels, the mean reporter levels directly reflect the affinities of the studied PPIs. With a set of PPIs with known affinities, it is straightforward to construct an affinity ladder that permits rapid classification of PPIs with thus far unknown affinities. Conventional software can be used for this analysis. To permit automated analysis, we provide a graphical user interface for the Python-based FlowCytometryTools package.