top of page

Research Interests

Our lab is captivated by the boundless potential of antibodies, camelid nanobodies and their applications in biomedical science. We have developed hybrid proteomic technologies to decode the diverse landscape of serum-circulating nanobodies. This innovative approach enables us to uncover an unprecedented repertoire of high-affinity nanobodies that target distinct regions of antigens. These nanobodies offer versatile tools to facilitate basic research, protein engineering, and therapeutic applications.

Expanding on this vision, we integrate computational design to better understand antigen-antibody interactions, and to accelerate antibody/nanobody discovery. By leveraging machine learning models, we design antibodies that target diverse epitopes including broadly neutralizing viral epitopes, and engineer nanobodies with enhanced disease specificity. These computational approaches enabling us to explore vast design landscapes and uncover novel therapeutic candidates with unparalleled precision.

Additionally, we are delving into the discovery of novel interactions mediated by membrane proteins, which play pivotal roles in cellular communication, signaling, and disease mechanisms. By leveraging nanobody-based tools and quantitative proteomics, we aim to map the dynamic interactomes of membrane proteins, including poorly characterized targets that regulate diverse and important cellular processes. This work not only sheds light on fundamental biological processes but also opens new avenues for therapeutic intervention and precision medicine.

Collaborators (past three years):  our science thrives on interdisciplinary collaborations with experts worldwide. Collaborators include but not limited to

Structural Biology: Ian Wilson (Structure virology, Scripps), Derek Taylor (Single-particle CryoEM, Case Western Reserve), Francisco Asturias (Structure biology, University of Colorado), Cheng Zhang (GPCR, Pitt), Michael Lazarus (Structure biology), and Angela Gronenborn (NMR and structure virology, Pitt).

Computational Biology/AI: Dina Schneidman (AI/antibody modeling, Hebrew University at Jerusalem), Jerome Tubiana (Machine learning, Tel Aviv), Andrej Sali (Integrative structure modeling, UCSF), and Chris McKennan (Statistical models, Pitt).

Chemistry/Chemical Biology: Jian Jin (Mount Sinai), Phil Cole (Harvard), Min Xue (Mount Sinai), Sander Houten (Mount Sinai).

Biomedical Applications: Adolfo Garcia-Sastre (Virology, Mount Sinai), Bob Roeder (Biochemistry, Rockefeller University), Francisco Asturias (Biochemistry, University of Colorado), Paul Kenny (Addiction, Mount Sinai), Benjamin Chen (HIV), Andy Steward (Diabetes, Mount Sinai), Bill Klunk (Alzheimer’s Disease, Pitt), Karen Arnst (Biochemistry, Pitt), Mandy van Lent (Bioimaging), and Mingye Feng (Cancer Immunology, City of Hope). 

 

These collaborations amplify our ability to tackle complex challenges at the molecular and organismal levels.

Research Highlights

Ultra-deep and high-throughput discovery of drug-quality nanobodies

We have recently developed a proteomic strategy to survey, at an unprecedented scale, the landscapes of antigen-engaged, serum-circulating repertoires of camelid heavy-chain antibodies (hcAbs). The sensitivity and robustness of this technology were validated using three antigens spanning orders of magnitude in immune response; thousands of divergent, high-affinity hcAb families were confidently identified and quantified. Using high-throughput structural modeling, cross-linking mass spectrometry, mutagenesis, and deep learning, we mapped and analyzed the epitopes of > 100,000 antigen-antibody complexes. In collaboration with Dina Schneidman's group, we have made some really interesting discoveries about how mammalian circulating antibodies recognize an antigen. Currently, there are several directions that we are taking to move this technology forward. For example, we are interested in developing novel AI-based algorithms to facilitate nanobody discovery by proteomics. We are also exploring ways to humanize nanobodies. Finally, we are developing tools to enable high-throughput screening and production of therapeutic biomolecules including but not limited to nanobodies.

Cell Systems cover.png

Ultrapotent and multivalent anti-COVID nanobodies 

Cost-effective, efficacious therapeutics are urgently needed to combat the COVID-19 pandemic. In this study, we used camelid immunization and proteomics to identify a large repertoire of highly potent neutralizing nanobodies (Nbs) to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein receptor binding domain (RBD). We discovered Nbs with picomolar to femtomolar affinities that inhibit viral infection at concentrations below the nanograms-per-milliliter level, and we determined a structure of one of the most potent Nbs in complex with the RBD. Structural proteomics and integrative modeling revealed multiple distinct and nonoverlapping epitopes and indicated an array of potential neutralization mechanisms. We bioengineered multivalent Nb constructs that achieved ultrahigh neutralization potency (half-maximal inhibitory concentration as low as 0.058 ng/ml) and may prevent mutational escape. These thermostable Nbs can be rapidly produced in bulk from microbes and resist lyophilization and aerosolization.

Fig1fig1.png

PiN-21: a potent inhalation therapy against COVID-19

Globally, there is an urgency to develop effective, low-cost therapeutic interventions for coronavirus disease 2019 (COVID-19). We previously generated the stable and ultrapotent homotrimeric Pittsburgh inhalable Nanobody 21 (PiN-21). Using Syrian hamsters that model moderate to severe COVID-19 disease, we demonstrate the high efficacy of PiN-21 to prevent and treat SARS-CoV-2 infection. Intranasal delivery of PiN-21 at 0.6 mg/kg protects infected animals from weight loss and substantially reduces viral burdens in both lower and upper airways compared to control. Aerosol delivery of PiN-21 facilitates deposition throughout the respiratory tract and dose minimization to 0.2 mg/kg. Inhalation treatment quickly reverses animals’ weight loss after infection, decreases lung viral titers by 6 logs leading to drastically mitigated lung pathology, and prevents viral pneumonia. Combined with the marked stability and low production cost, this innovative therapy may provide a convenient and cost-effective option to mitigate the ongoing pandemic.

PiN21(justuseF).png

How do neutralizing nanobodies resist the circulating variants ?

There is an urgent need to develop effective interventions resistant to the evolving variants of SARS-CoV-2. Nanobodies (Nbs) are stable and cost-effective agents that can be delivered by novel aerosolization route to treat SARS-CoV-2 infections efficiently. However, it remains unknown if they possess broadly neutralizing activities against the prevalent circulating strains. We found that potent neutralizing Nbs are highly resistant to the convergent variants of concern that evade a large panel of neutralizing antibodies (Abs) and significantly reduce the activities of convalescent or vaccine-elicited sera. Subsequent determination of 8 high-resolution structures involving 6 potent neutralizing Nbs by cryoelectron microscopy reveals conserved and novel epitopes on virus spike inaccessible to Abs. Systematic structural comparison of neutralizing Abs and Nbs provides critical insights into how Nbs uniquely target the spike to achieve high-affinity and broadly neutralizing activity against the evolving virus. Our study will inform the rational design of novel pan-coronavirus vaccines and therapeutics.

Figure 3.png

A toolbox of tailored drug delivery and the story behind Duraleukin 

Therapeutic and diagnostic efficacies of numerous small biomolecules and chemical compounds are hampered by poor pharmacokinetics. Here we report the development of a repertoire of robust, high-affinity and multi-epitope nanobodies (Nbs) that target human serum albumin (NbHSA) to enable half-life extension of small therapeutic cargos. We developed a quantitative proteomic assay that facilitates specific and paralleled pharmacokinetic analysis of Nbs and determined the half-lives of a cohort of representative NbHSA in an Alb-/- FcRn-humanized mouse model. Interestingly, we found that NbHSAs span a wide range of pharmacokinetic profiles. The half-lives of NbHSAs  are positively correlated with their binding affinity to albumin at the endosomal pH. Compared to control Nbs that were rapidly cleared from the serum, the half-lives of NbHSAs  were drastically prolonged by up to 771-fold. To demonstrate the utility of NbHSAs, we developed stable NbHSA-cytokine fusion constructs “Duraleukin” and confirmed the excellent preclinical efficacy of a Duraluekin for cancer treatment in a mouse melanoma model. This high-quality and versatile Nb resource will help advance biomedical research into therapeutic development. 

Duraleukin(a&b).png

Super-immunity by broadly neutralizing pan-sarbecovirus nanobodies

Vaccine boosters and infection can facilitate the development of SARS-CoV-2 antibodies with improved potency and breadth. Here, we observe superimmunity in a camelid extensively immunized with the SARS-CoV-2 receptor-binding domain (RBD). We rapidly isolate a large repertoire of specific ultra-high-affinity nanobodies that bind strongly to all known sarbecovirus clades using integrative proteomics. These pan-sarbecovirus nanobodies (psNbs) are highly effective against SARS-CoV and SARS-CoV-2 variants, including Omicron, with the best median neutralization potency at single-digit nanograms per milliliter. A highly potent, inhalable, and bispecific psNb (PiN-31) is also developed. Structural determinations of 13 psNbs with the SARS-CoV-2 spike or RBD reveal five epitope classes, providing insights into the mechanisms and evolution of their broad activities. The highly evolved psNbs target small, flat, and flexible epitopes that contain over 75% of conserved RBD surface residues. Their potencies are strongly and negatively correlated with the distance of the epitopes from the receptor binding sites.

Fig1fig1.png

Llamanade: an open-source computational pipeline for robust nanobody humanization

We have systematically analyzed the sequence and structural properties of Nbs based on NGS (next-generation sequencing) databases and high-resolution structures. Our analysis reveals substantial framework diversities and underscores the key differences between Nbs and human Immunoglobulin G (IgG) antibodies. We identified conserved residues that may contribute to enhanced solubility, structural stability, and antigen-binding, providing insights into Nb humanization. Based on big data analysis, we developed “Llamanade”, a user-friendly, open-source to facilitate rational humanization of Nbs. Using Nb sequence as input, Llamanade provides information on the sequence features, model structures, and optimizes solutions to humanize Nbs. The full analysis for a given Nb takes less than a minute on a local computer. To demonstrate the robustness of this tool, we applied it to successfully humanize a cohort of structurally diverse and highly potent SARS-CoV-2 neutralizing Nbs. Llamanade is freely available and will be easily accessible on a web server.

Llamanade 10.png

AI facilitated discovery of Omicron's reduced host serologic response

using a novel geometric deep-learning model, we discovered that the antigenic profile of Omicron RBD is distinct from the prior VOCs, featuring reduced antigenicity in its remodeled receptor binding sites (RBS). To substantiate our prediction, we immunized mice with different recombinant RBD variants and found that the Omicron’s extensive mutations can lead to a drastically attenuated serologic response with limited neutralizing activity in vivo, while the T cell response remains intact. Analyses of serum cross-reactivity and competitive ELISA with epitope-specific nanobodies revealed that the antibody response to Omicron was reduced across RBD epitopes, including both the variable RBS and epitopes without any known VOC mutations. Moreover, computational modeling confirmed that the RBS is highly versatile with a capacity to further decrease antigenicity while retaining efficient receptor binding. Longitudinal analysis showed that this evolutionary trend of decrease in antigenicity was also found in hCoV229E, a common cold coronavirus that has been circulating in humans for decades. Thus, our study provided unprecedented insights into the reduced antibody titers associated with Omicron infection, revealed a possible trajectory of future viral evolution and may inform the vaccine development against future outbreaks.

ImageForNews_720289_16587071877788007.jpg.webp

Nanobodies as a powerful platform for biomedicine

Despite lacking a light chain, nanobodies retain unimpaired binding ability. A beta-sandwich fold supports the presentation of three complementarity-determining regions (CDRs) to bind antigens. The convex-shaped paratope formed by CDRs and the oblate structure of nanobodies grant access to small clefts on the antigen, often difficult to recognize by conventional IgGs.Nanobodies are of interest for their unique physiochemical properties, but mostly for their versatility in protein engineering, e.g. for (i) multivalent and multi-paratopic/specific constructs with enhanced avidity or functions; (ii) albumin-targeting featuring tailored half-live extension; (iii) targeted delivery of radioisotopes, proteins, chemotherapeutic conjugates, nanoparticles or viral vectors. Nanobodies are relevant for diagnosis and treatment of various diseases including cancer, autoimmune disorders and infectious diseases.

Fig1_v2_edited.jpg

© 2022 by Shi Lab Icahn School of Medicine at Mount Sinai, NY

bottom of page