Pretrainable geometric graph neural network for antibody affinity maturation.

Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity maturation. Leveraging multi-relational graph construction, multi-level geometric message passing and contrastive pretraining on mass-scale, unlabeled protein structural data, GearBind outperforms previous state-of-the-art approaches on SKEMPI and an independent test set. A powerful ensemble model based on GearBind is then derived and used to successfully enhance the binding of two antibodies with distinct formats and target antigens. ELISA EC50 values of the designed antibody mutants are decreased by up to 17 fold, and KD values by up to 6.1 fold. These promising results underscore the utility of geometric deep learning and effective pretraining in macromolecule interaction modeling tasks.

A guide to selecting high-performing antibodies for Protein-glutamine gamma-glutamyltransferase 2 (TGM2) for use in western blot, immunoprecipitation and immunofluorescence.

Protein-glutamine gamma-glutamyltransferase 2 (TGM2) is a Ca 2+ dependent enzyme that catalyzes transglutaminase cross-linking modifications. TGM2 is involved in various diseases, either in a protective or contributory manner, making it a crucial protein to study and determine its therapeutic potential. Identifying high-performing TGM2 antibodies would facilitate these investigations. Here we have characterized seventeen TGM2 commercial antibodies for western blot and sixteen for immunoprecipitation, and immunofluorescence. The implemented standardized experimental protocol is based on comparing read-outs in knockout cell lines against their isogenic parental controls. This study is part of a larger, collaborative initiative seeking to address antibody reproducibility issues by characterizing commercially available antibodies for human proteins and publishing the results openly as a resource for the scientific community. While the use of antibodies and protocols vary between laboratories, we encourage readers to use this report as a guide to select the most appropriate antibodies for their specific needs.

Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery.

Droplet microfluidics has become a very powerful tool in high-throughput screening, including antibody discovery. Screens are usually carried out by physically sorting droplets hosting cells of the desired phenotype, breaking them, recovering the encapsulated cells, and sequencing the paired antibody light and heavy chain genes at the single-cell level. This series of multiple consecutive manipulation steps of rare screening hits is complex and challenging, resulting in a significant loss of clones with the desired phenotype or large fractions of cells with incomplete antibody information. Here, we present fluorescence-activated droplet sequencing, in which droplets showing the desired phenotype are selectively picoinjected with reagents for RT-PCR. Subsequently, light and heavy chain genes are natively paired, fused into a single-chain fragment variant format, and amplified before off-chip transfer and downstream nanopore sequencing. This workflow is sufficiently sensitive for obtaining different paired full-length antibody sequences from as little as five droplets, fulfilling the desired phenotype. Replacing physical sorting by specific sequencing overcomes a general bottleneck in droplet microfluidic screening and should be compatible with many more applications.

Impact of anti leukemia inhibitory factor antibody on immune related gene expression in breast cancer Balb/c mouse model.

Leukemia inhibitory factor (LIF) is involved in the progression of different cancers. In this study, we investigated the effect of anti-LIF antibodies on immune-related gene expression in the Balb/c mouse model of breast cancer. To immunize mice against LIF, recombinant LIF with Freund adjuvant was injected into the test group, whereas the control group received phosphate-buffered saline with adjuvant. Tumor induction (4T1 cell line) was performed by increasing the antibody titer. The expression of immune-related genes was evaluated by real-time PCR. The anti-LIF titer was significantly increased in the immunized group. The expression of genes related to the differentiation of T helper (Th)-1, Th-2, and Th-17 cells was significantly higher in the immunized group than in the control group. In addition, anti-LIF did not have a significant effect on the expression of genes related to the differentiation of regulatory T cells, and immune checkpoint-associated genes. Additionally, the test group had higher survival and lower tumor development rates. The results demonstrated that the anti-LIF antibody may potentially play a role in the differentiation of immune cells or immune responses. However, further studies utilizing advanced techniques are necessary to validate its function.

Antigen specificity affects analysis of natural antibodies.

Natural antibodies are used to compare immune systems across taxa, to study wildlife disease ecology, and as selection markers in livestock breeding. These immunoglobulins are present prior to immune stimulation. They are described as having low antigen specificity or polyreactive binding and are measured by binding to self-antigens or novel exogenous proteins. Most studies use only one or two antigens to measure natural antibodies and ignore potential effects of antigen specificity in analyses. It remains unclear how different antigen-specific natural antibodies are related or how diversity among natural antibodies may affect analyses of these immunoglobulins. Using genetically distinct lines of chickens as a model system, we tested the hypotheses that (1) antigen-specific natural antibodies are independent of each other and (2) antigen specificity affects the comparison of natural antibodies among animals. We used blood cell agglutination and enzyme-linked immunosorbent assays to measure levels of natural antibodies binding to four antigens: (i) rabbit erythrocytes, (ii) keyhole limpet hemocyanin, (iii) phytohemagglutinin, or (iv) ovalbumin. We observed that levels of antigen specific natural antibodies were not correlated. There were significant differences in levels of natural antibodies among lines of chickens, indicating genetic variation for natural antibody production. However, line distinctions were not consistent among antigen specific natural antibodies. These data show that natural antibodies are a pool of relatively distinct immunoglobulins, and that antigen specificity may affect interpretation of natural antibody function and comparative immunology.

Lactoferrin/CD133 antibody conjugated nanostructured lipid carriers for dual targeting of blood-brain-barrier and glioblastoma stem cells.

The main reasons for the difficulty in curing and high recurrence rate of glioblastoma multiforme (GBM) include: 1. The difficulty of chemotherapy drugs in penetrating the blood-brain barrier (BBB) to target tumor cells; 2. The presence of glioma stem cells (GSCs) leading to chemotherapy resistance. Therefore, breaking through the limitations of the BBB and overcoming the drug resistance caused by GSCs are the main strategies to address this problem. This study presents our results on the development of lactoferrin (Lf)/CD133 antibody conjugated nanostructured lipid carriers (Lf/CD133-NLCS) for simultaneously targeting BBB and GSCs. Temozolomide (TMZ) loaded Lf/CD133-NLCS (Lf/CD133-NLCS-TMZ) exhibited high-efficiencyin vitroanti-tumor effects toward malignant glioma cells (U87-MG) and GSCs, while demonstrating no significant toxicity to normal cells at concentrations lower than 200 µg ml-1. The results of thein vitrotargeting GBM study revealed a notably higher cellular uptake of Lf/CD133-NLCS-TMZ in U87-MG cells and GSCs in comparison to Lf/CD133 unconjugated counterpart (NLCS-TMZ). In addition, increased BBB permeability were confirmed for Lf/CD133-NLCS-TMZ compared to NLCS-TMZ bothin vitroandin vivo. Taking together, Lf/CD133-NLCS-TMZ show great potential for dual targeting of BBB and GSCs, as well as GBM therapy based on this strategy.

Rational design of environmentally responsive antibodies with pH-sensing synthetic amino acids.

Antibodies are widely used as therapeutic agents to tackle various diseases. In the present study, to enhance their clinical values, we rationally designed pH-responsivity by exploiting the idiosyncratic protonation/deprotonation profiles of non-natural amino acids. 3-Nitro-L-tyrosine, 3-cyano-L-tyrosine, and 3, 5-halogenated-L-tyrosine, each with near neutral pKa, were thus incorporated into Fab fragments in place of tyrosines and other residues in the variable regions. Cell-based assays showed that these modifications achieved up to 140-fold tighter binding to antigens and several-fold tighter cytotoxicity to antigen-expressing cell at pH 6.0 than pH 7.4. The pH-dependent binding effect was retained in full-length antibodies. In silico structural analyses revealed electrostatic repulsion at neutral pH between antigens and antibodies or inside the antibody as the underlying mechanisms of the acid preference, and this finding increases the designability of pH-dependent antigen binding. The development of antibodies responsive to the microenvironments of diseased tissues will allow more disease-related antigens to be targeted in treatments, because of the reduced cross-reactivity toward healthy tissues.

High titer expression of antibodies using linear expression cassettes for early-stage functional screening.

Antibody discovery processes are continually advancing, with an ever-increasing number of potential binding sequences being identified out of in vivo, in vitro, and in silico sources. In this work we describe a rapid system for high yield recombinant antibody (IgG and Fab) expression using Gibson assembled linear DNA fragments (GLFs). The purified recombinant antibody yields from 1 ml expression for this process are approximately five to ten-fold higher than previous methods, largely due to novel usage of protecting flanking sequences on the 5' and 3' ends of the GLF. This method is adaptable for small scale (1 ml) expression and purification for rapid evaluation of binding and activity, in addition to larger scales (30 ml) for more sensitive assays requiring milligram quantities of antibody purified over two columns (Protein A and size exclusion chromatography). When compared to plasmid-based expression, these methods provide nearly equivalent yield of high-quality material across multiple applications, allowing for reduced costs and turnaround times to enhance the antibody discovery process.

Targeted-lung delivery of bardoxolone methyl using PECAM-1 antibody-conjugated nanostructure lipid carriers for the treatment of lung inflammation.

The effective treatment of acute lung injury (ALI) remains a significant challenge. Patients with ALI demonstrate an abundance of proinflammatory mediators in both bronchoalveolar lavage fluid (BALF) and circulating plasma. Bardoxolone methyl (BM) is a semi-synthetic triterpenoid derived from oleanolic acid, a natural product known for its ability to inhibit proinflammatory signaling. GSDMD is a signaling protein involved in pyroptosis, a form of programmed cell death. It has been reported that its upstream proteins play a role in the pathogenesis of ALI. However, there is currently no research examining whether the effect of BM on the occurrence and development of ALI is associated with changes in GSDMD protein. In this study, we prepared nanostructured lipid carriers loaded with BM and conjugated with anti-PECAM-1 antibody (PECAM@BM NLCs). PECAM@BM NLCs were designed to specifically bind to pulmonary vascular endothelial cells that highly express the PECAM-1 receptors. We also aimed to investigate the protective effects of PECAM@BM NLCs on ALI and elucidate the underlying molecular mechanisms. The results demonstrated that PECAM@BM NLCs accumulated in the lung tissues and significantly alleviated the inflammatory injury of ALI. This was evidenced by the changes in the lung wet/dry ratio, the total protein concentration, proinflammatory cytokines in BALF, and the histopathological progress. Additionally, we elucidated that PECAM@BM NLCs had the ability to inhibit the assembly of NLRP3 inflammasome and pro-caspase-1 complex, thereby suppressing the induction of pyroptosis. This mechanism resulted in the inhibition of N-terminal GSDMD expression and effectively prevented the progression of ALI.

Intranasal LAG3 antibody infusion induces a rapid antidepressant effect via the hippocampal ERK1/2-BDNF signaling pathway in chronically stressed mice.

The decline of microglia in the dentate gyrus is a new phenomenon that may explain the pathogenesis of depression, and reversing this decline has an antidepressant effect. The development of strategies that restore the function of dentate gyrus microglia in under stressful conditions is becoming a new focus. Lymphocyte-activating gene-3 (LAG3) is an immune checkpoint expressed by immune cells including microglia. One of its functions is to suppress the expansion of immune cells. In a recent study, chronic systemic administration of a LAG3 antibody that readily penetrates the brain was reported to reverse chronic stress-induced hippocampal microglia decline and depression-like behaviors. We showed here that a single intranasal infusion of a LAG3 antibody (In-LAG3 Ab) reversed chronic unpredictable stress (CUS)-induced depression-like behaviors in a dose-dependent manner, which was accompanied by an increase in brain-derived neurotrophic factor (BDNF) in the dentate gyrus. Infusion of an anti-BDNF antibody into the dentate gyrus, construction of knock-in mice with the BDNF Val68Met allele, or treatment with the BDNF receptor antagonist K252a abolished the antidepressant effect of In-LAG3 Ab. Activation of extracellular signal-regulated kinase1/2 (ERK1/2) is required for the reversal effect of In-LAG3 Ab on CUS-induced depression-like behaviors and BDNF decrease in the dentate gyrus. Moreover, both inhibition and depletion of microglia prevented the reversal effect of In-LAG3 Ab on CUS-induced depression-like behaviors and impairment of ERK1/2-BDNF signaling in the dentate gyrus. These results suggest that In-LAG3 Ab exhibits an antidepressant effect through microglia-mediated activation of ERK1/2 and synthesis of BDNF in the dentate gyrus.

A comparison of antibody-antigen complex sequence-to-structure prediction methods and their systematic biases.

The ability to accurately predict antibody-antigen complex structures from their sequences could greatly advance our understanding of the immune system and would aid in the development of novel antibody therapeutics. There have been considerable recent advancements in predicting protein-protein interactions (PPIs) fueled by progress in machine learning (ML). To understand the current state of the field, we compare six representative methods for predicting antibody-antigen complexes from sequence, including two deep learning approaches trained to predict PPIs in general (AlphaFold-Multimer and RoseTTAFold), two composite methods that initially predict antibody and antigen structures separately and dock them (using antibody-mode ClusPro), local refinement in Rosetta (SnugDock) of globally docked poses from ClusPro, and a pipeline combining homology modeling with rigid-body docking informed by ML-based epitope and paratope prediction (AbAdapt). We find that AlphaFold-Multimer outperformed other methods, although the absolute performance leaves considerable room for improvement. AlphaFold-Multimer models of lower quality display significant structural biases at the level of tertiary motifs (TERMs) toward having fewer structural matches in non-antibody-containing structures from the Protein Data Bank (PDB). Specifically, better models exhibit more common PDB-like TERMs at the antibody-antigen interface than worse ones. Importantly, the clear relationship between performance and the commonness of interfacial TERMs suggests that the scarcity of interfacial geometry data in the structural database may currently limit the application of ML to the prediction of antibody-antigen interactions.

Liposomes with Low Levels of Grafted Poly(ethylene glycol) Remain Susceptible to Destabilization by Anti-Poly(ethylene glycol) Antibodies.

Binding of anti-PEG antibodies to poly(ethylene glycol) (PEG) on the surface of PEGylated liposomal doxorubicin (PLD) in vitro and in rats can activate complement and cause the rapid release of doxorubicin from the liposome interior. Here, we find that irinotecan liposomes (IL) and L-PLD, which have 16-fold lower levels of 1,2-distearoyl-sn-glycero-3-phosphoethanolamine (DSPE)-PEG2000 in their liposome membrane as compared to PLD, generate less complement activation but remain sensitive to destabilization and drug release by anti-PEG antibodies. Complement activation and liposome destabilization correlated with the theoretically estimated number of antibody molecules bound per liposome. Drug release from liposomes proceeded through the alternative complement pathway but was accelerated by the classical complement pathway. In contrast to PLD destabilization by anti-PEG immunoglobulin G (IgG), which proceeded by the insertion of membrane attack complexes in the lipid bilayer of otherwise intact PLD, anti-PEG IgG promoted the fusion of L-PLD, and IL to form unilamellar and oligo-vesicular liposomes. Anti-PEG immunoglobulin M (IgM) induced drug release from all liposomes (PLD, L-PLD, and IL) via the formation of unilamellar and oligo-vesicular liposomes. Anti-PEG IgG destabilized both PLD and L-PLD in rats, indicating that the reduction of PEG levels on liposomes is not an effective approach to prevent liposome destabilization by anti-PEG antibodies.

Electrochemical detection of anti-tissue transglutaminase antibody using quantum dots-doped polypyrrole-modified electrode.

A nanohybrid-modified glassy carbon electrode based on conducting polypyrrole doped with carbon quantum dots (QDs) was developed and used for the electrochemical detection of anti-tissue transglutaminase (anti-tTG) antibodies. To improve the polypyrrole conductivity, carrier mobility, and carrier concentration, four types of carbon nanoparticles were tested. Furthermore, a polypyrrole-modified electrode doped with QDs was functionalized with a PAMAM dendrimer and transglutaminase 2 protein by cross-linking with N-hydroxysuccinimide (NHS)/N-(3-dimethylaminopropyl)-N'-ethylcarbodiimide hydrochloride (EDC). The steps of electrode surface modification were surveyed via electrochemical measurements (differential pulse voltammetry (DPV), impedance spectroscopy, and X-ray photoelectron spectroscopy (XPS)). The surface characteristics were observed by scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and contact angle measurements. The obtained modified electrode exhibited good stability and repeatability. DPV between - 0.1 and 0.6 V (vs. Ag/AgCl 3 M KCl reference electrode) was used to evaluate the electrochemical alterations that occur after the antibody interacts with the antigen (transglutaminase 2 protein), for which the limit of detection was 0.79 U/mL. Without the use of a secondary label, (anti-tTG) antibodies may be detected at low concentrations because of these modified electrode features.

A charged tail on anti-α-Synuclein antibodies does not enhance their affinity to α-Synuclein fibrils.

The aggregation of α-Synuclein (αSyn) is strongly linked to neuronal death in Parkinson's disease and other synucleinopathies. The spreading of aggregated αSyn between neurons is at least partly dependent on electrostatic interactions between positively charged stretches on αSyn fibrils and the negatively charged heparan sulphate proteoglycans on the cell surface. To date there is still no therapeutic option available that could halt the progression of Parkinson's disease and one of the major limitations is likely the relatively low proportion of αSyn aggregates accessible to drugs in the extracellular space. Here, we investigated whether a negatively charged peptide tail fused to the αSyn aggregate-specific antibodies SynO2 and 9E4 could enhance the antibodies' avidity to αSyn aggregates in order to improve their potential therapeutic effect through inhibiting cell-to-cell spreading and enhancing the clearance of extracellular aggregates. We performed ELISAs to test the avidity to αSyn aggregates of both monovalent and bivalent antibody formats with and without the peptide tail. Our results show that the addition of the negatively charged peptide tail decreased the binding strength of both antibodies to αSyn aggregates at physiological salt conditions, which can likely be explained by intermolecular repulsions between the tail and the negatively charged C-terminus of αSyn. Additionally, the tail might interact with the paratopes of the SynO2 antibody abolishing its binding to αSyn aggregates. Conclusively, our peptide tail did not fulfil the required characteristics to improve the antibodies' binding to αSyn aggregates. Fine-tuning the design of the peptide tail to avoid its interaction with the antibodies' CDR and to better mimic relevant characteristics of heparan sulphates for αSyn aggregate binding may help overcome the limitations observed in this study.

Orientation of Antibody Modified and Reacted on Carboxy-Functionalized Polystyrene Particle Revealed by Zeta Potential Measurement.

The comprehensive understanding of the orientation of antibodies on a solid surface is crucial for affinity-based sensing mechanisms. In this study, we demonstrated that the orientation of primary antibodies modified on carboxy-functionalized polystyrene (PS) particles can be analyzed using zeta potential behavior at different pH based on the combined Gouy-Chapman-Stern model and the acid dissociation of carboxy groups and antibodies. We observed that at low surface concentrations of the primary antibody, a side-on orientation was predominant. However, at higher concentrations (approximately 30000 antibodies per PS particle), the orientation shifted to an end-on type due to steric hindrance. Furthermore, the reaction mechanism of the secondary antibody exhibited pH-dependent behavior. At pH > 7, the zeta potential changes were attributed to the antibody-antibody reaction, whereas at pH < 7, adsorption of secondary antibody onto the PS particle was observed, leading to a change in the orientation of the primary antibody modified on the PS particle to an end-on type. The change in zeta potential due to secondary antibody binding indicated a detection limit of 37000 antibodies per PS particle. As a result, we revealed that the analysis of zeta potential behavior enables the evaluation of antibody orientation and the detection of zeptomole order antibodies. This study represents the first demonstration of this capability. We anticipate that the present concept and results will broaden the quantitative application of zeta potential measurements and have significant implications for research areas, including physical chemistry and analytical chemistry.

Enzyme-Responsive DNA Origami-Antibody Conjugates for Targeted and Combined Therapy of Choroidal Neovascularization.

Monotherapy, especially the use of antibodies targeting vascular endothelial growth factor (VEGF), has shown limitations in treating choroidal neovascularization (CNV) since reactive oxygen species (ROS) also exacerbate CNV formation. Herein, we developed a combination therapy based on a DNA origami platform targeting multiple components of ocular neovascularization. Our study demonstrated that ocular neovascularization was markedly suppressed by intravitreal injection of a rectangular DNA origami sheet modified with VEGF aptamers (Ap) conjugated to an anti-VEGF antibody (aV) via matrix metalloproteinase (MMP)-cleavable peptide linkers in a mouse model of CNV. Typically, the DNA origami-based therapeutic platform selectively accumulates in neovascularization lesions owing to the dual-targeting ability of the aV and Ap, followed by the cleavage of the peptide linker by MMPs to release the antibody. Together, the released antibody and Ap inhibited VEGF activity. Moreover, the residual bare DNA origami could effectively scavenge ROS, reducing oxidative stress at CNV sites and thus maximizing the synergistic effects of inhibiting neovascularization.

Synthetic antibodies for accelerated RNA crystallography.

RNA structure is crucial to a wide range of cellular processes. The intimate relationship between macromolecular structure and function necessitates the determination of high-resolution structures of functional RNA molecules. X-ray crystallography is the predominant technique used for macromolecular structure determination; however, solving RNA structures has been more challenging than their protein counterparts, as reflected in their poor representation in the Protein Data Bank (<1%). Antibody-assisted RNA crystallography is a relatively new technique that promises to accelerate RNA structure determination by employing synthetic antibodies (Fabs) as crystallization chaperones that are specifically raised against target RNAs. Antibody chaperones facilitate the formation of ordered crystal lattices by minimizing RNA flexibility and replacing unfavorable RNA-RNA contacts with contacts between chaperone molecules. Atomic coordinates of these antibody fragments can also be used as search models to obtain phase information during structure determination. Antibody-assisted RNA crystallography has enabled the structure determination of 15 unique RNA targets, including 11 in the last 6 years. In this review, I cover the historical development of antibody fragments as crystallization chaperones and their application to diverse RNA targets. I discuss how the first structures of antibody-RNA complexes informed the design of second-generation antibodies and led to the development of portable crystallization modules that have greatly reduced the uncertainties associated with RNA crystallography. Finally, I outline unexplored avenues that can increase the impact of this technology in structural biology research and discuss potential applications of antibodies as affinity reagents for interrogating RNA biology outside of their use in crystallography. This article is categorized under: RNA Structure and Dynamics > RNA Structure, Dynamics and Chemistry RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes.

Antibody-SGM, a Score-Based Generative Model for Antibody Heavy-Chain Design.

Traditional computational methods for antibody design involved random mutagenesis followed by energy function assessment for candidate selection. Recently, diffusion models have garnered considerable attention as cutting-edge generative models, lauded for their remarkable performance. However, these methods often focus solely on the backbone or sequence, resulting in the incomplete depiction of the overall structure and necessitating additional techniques to predict the missing component. This study presents Antibody-SGM, an innovative joint structure-sequence diffusion model that addresses the limitations of existing protein backbone generation models. Unlike previous models, Antibody-SGM successfully integrates sequence-specific attributes and functional properties into the generation process. Our methodology generates full-atom native-like antibody heavy chains by refining the generation to create valid pairs of sequences and structures, starting with random sequences and structural properties. The versatility of our method is demonstrated through various applications, including the design of full-atom antibodies, antigen-specific CDR design, antibody heavy chains optimization, validation with Alphafold3, and the identification of crucial antibody sequences and structural features. Antibody-SGM also optimizes protein function through active inpainting learning, allowing simultaneous sequence and structure optimization. These improvements demonstrate the promise of our strategy for protein engineering and significantly increase the power of protein design models.

A guide to selecting high-performing antibodies for Synaptotagmin-1 (Uniprot ID P21579) for use in western blot, immunoprecipitation, immunofluorescence and flow cytometry.

Synaptotagmin-1 is a synaptic vesicle transmembrane protein that senses calcium influx via its tandem C2-domains, triggering synchronous neurotransmitter release. Disruption to SYT1 is associated with neurodevelopmental disorders, highlighting the importance of identifying high-quality research reagents to enhance understanding of Synaptotagmin-1 in health and disease. Here we have characterized thirteen Synaptotagmin-1 commercial antibodies for western blot, immunoprecipitation, immunofluorescence and flow cytometry using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. These studies are part of a larger, collaborative initiative seeking to address antibody reproducibility issues by characterizing commercially available antibodies for human proteins and publishing the results openly as a resource for the scientific community. While use of antibodies and protocols vary between laboratories, we encourage readers to use this report as a guide to select the most appropriate antibodies for their specific needs.