Research Radar — 2026-08-14

Methods & AI

Computational

5 selected

Computational #1 Read selectively for methods and biological relevance to current research interests.

Single-cell analysis suggests coordinated immune-cell redistribution between blood and cerebrospinal fluid in early multiple sclerosis

bioRxiv Published 2026-08-09 Preprint DOI: 10.64898/2026.08.04.742373v1

Authors: Hallen, N., Fernandes, S. J., Rad Pour, S., Gyllenberg, A., Han, Y., Ruffin, N., Kiani, N., Needhamsen, M., Piehl, F., Kockum, I., Al Nimer, F., Gomez-Cabrero, D., tegner, j., Jagodic, M.

single-cell

Summary: This bioRxiv preprint, titled “Single-cell analysis suggests coordinated immune-cell redistribution between blood and cerebrospinal fluid in early multiple sclerosis,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Computational #2 Read selectively for methods and biological relevance to current research interests.

A Time-Resolved Single-Cell Atlas Reveals Infection-Status, Age-, and Sex-Dependent Immune Responses Drive Viral Disease Severity

bioRxiv Published 2026-08-11 Preprint DOI: 10.64898/2026.08.10.744019v1

Authors: Chen, L., Qiu, A., Kim, J., Abu Hussein, N., Lu, M., Agaronyan, K., Sun, K., Yuan, Y., Zhao, A., Heda, G., Lu, X., Kitsios, G., Rizzo, A. N., Bain, W., Nyunoya, T., Suber, T., Evankovich, J., Shah, F., Dela Cruz, C. S., Manning, E., Sharma, L.

single-cell

Summary: This bioRxiv preprint, titled “A Time-Resolved Single-Cell Atlas Reveals Infection-Status, Age-, and Sex-Dependent Immune Responses Drive Viral Disease Severity,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Computational #3 Read selectively for methods and biological relevance to current research interests.

Multiomic and Spatial Profiling of Colorectal Tissue Reveals Viral Persistence and Immune Dysregulation in Long COVID

bioRxiv Published 2026-08-10 Preprint DOI: 10.64898/2026.08.07.743616v1

Authors: LaFranchi, B., Maison, D. P., Vinden, J., Rodriguez, A. E., Tout, A., Grimbert, L., Velazquez, E., Vudali, U., Poblano, B. A., Dalhuisen, T., Cattle, J., Figueroa, T., Fudotan, Y., Luna, M. A., Ryder, D., Deswal, M., Abel, B. S., Lynch, J., Lipford, A., Razi, N., Steifman, C. B., McCann, H. N., Kataria, N., Girling, V., Thomas, R., Wang, C., Deitchman, A. N., Patel, S., Traglia, M., Tseng, Z. H., Szabo, G., Laszik, Z., Farrow, A., Sumimoto, N., Servellita, V., Hoh, R., Fehrman, E. A., Kelly, J. D., Martin, J. N., Deeks, S. G., Chiu, C. Y., Somsouk, M., Peluso, M. J., Henrich, T. J.

biomedical research

Summary: This bioRxiv preprint, titled “Multiomic and Spatial Profiling of Colorectal Tissue Reveals Viral Persistence and Immune Dysregulation in Long COVID,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Computational #4 Read selectively for methods and biological relevance to current research interests.

AdaGeneBudget: Cell-Adaptive Gene-Token Allocation for Efficient Single-Cell Foundation Models

bioRxiv Published 2026-08-12 Preprint DOI: 10.64898/2026.08.06.743174v1

Authors: Kim, D., Hwang, U.

single-cell

Summary: This bioRxiv preprint, titled “AdaGeneBudget: Cell-Adaptive Gene-Token Allocation for Efficient Single-Cell Foundation Models,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Computational #5 Read selectively for methods and biological relevance to current research interests.

Assessing Computational Models for Pharmacogenomic Variant Interpretation

bioRxiv Published 2026-08-09 Preprint DOI: 10.64898/2026.08.03.742561v1

Authors: Pucci, F., Hermans, P., Tsishyn, M., Cusato, J., Rooman, M.

biomedical research

Summary: This bioRxiv preprint, titled “Assessing Computational Models for Pharmacogenomic Variant Interpretation,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Biomedical discoveries

Biomedicine

5 selected

Biomedicine #1 Read selectively for methods and biological relevance to current research interests.

Siglec-15 is a glyco-immune checkpoint in prostate cancer regulating immune evasion and metastasis

bioRxiv Published 2026-08-10 Preprint DOI: 10.64898/2026.08.07.743480v1

Authors: Matthews, N., Zeng, F., Hodgson, K., Fisher, M., Peng, Z., Blencoe, L., Orozco-Moreno, M., Dennis, E. P., Lu, L., Lawson, M. A., Mei, S., Sykes, D. B., Flies, D., Beatson, R., Wang, N., Munkley, J.

biomedical research

Summary: This bioRxiv preprint, titled “Siglec-15 is a glyco-immune checkpoint in prostate cancer regulating immune evasion and metastasis,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Biomedicine #2 Read selectively for methods and biological relevance to current research interests.

Qombucha: Reconstructing unobserved progenitor methylation profiles reveals distinct developmental programs in glioblastoma

bioRxiv Published 2026-08-12 Preprint DOI: 10.64898/2026.08.06.743400v1

Authors: Li, X. C., Lalchungnunga, H., Hari, A., Liu, Y., Singh, O., Wu, Z., Abdullaev, Z., Mount, S. M., Aldape, K. D., Ruppin, E., Schaffer, A. A., Sahinalp, S. C.

biomedical research

Summary: This bioRxiv preprint, titled “Qombucha: Reconstructing unobserved progenitor methylation profiles reveals distinct developmental programs in glioblastoma,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Biomedicine #3 Read selectively for methods and biological relevance to current research interests.

Extracellular vesicle-mediated suppression of macrophage STING signaling promotes immune dysfunction in dedifferentiated liposarcoma

bioRxiv Published 2026-08-10 Preprint DOI: 10.64898/2026.08.07.743624v1

Authors: Zhang, Q., Mandula, J. K., Sarchet, P., Dhawale, P., de Faria, F. C. C., Zhang, T., Rentsch, S., Singh, P. K., Usmani, A. F., Karna, R., Harper, C. P., Grignol, V., Wang, J., Zhang, Y., Li, Z., Pollock, R. E., Calore, F.

biomedical research

Summary: This bioRxiv preprint, titled “Extracellular vesicle-mediated suppression of macrophage STING signaling promotes immune dysfunction in dedifferentiated liposarcoma,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Biomedicine #4 Read selectively for methods and biological relevance to current research interests.

Glioblastoma Invasion Remodels Neural Circuits and Drives Persistent GABAergic Dysfunction in Human Brain Organoids

bioRxiv Published 2026-08-12 Preprint DOI: 10.64898/2026.08.11.744022v1

Authors: Grassin, E., Chintalapudi, H., Dong, X., Goldman, D. S., Hagee, D., Cui, C., Goldman, A., Lee, L.

biomedical research

Summary: This bioRxiv preprint, titled “Glioblastoma Invasion Remodels Neural Circuits and Drives Persistent GABAergic Dysfunction in Human Brain Organoids,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Biomedicine #5 Read selectively for methods and biological relevance to current research interests.

B7-H4 represents a site-specific immunotherapy target in small bowel gastrointestinal stromal tumor

bioRxiv Published 2026-08-09 Preprint DOI: 10.64898/2026.08.04.742601v1

Authors: Singer, H., Morris, M. T., Maestro, R., Paolo Dei Tos, A., DeMatteo, R. P., Vitiello, G. A.

biomedical research

Summary: This bioRxiv preprint, titled “B7-H4 represents a site-specific immunotherapy target in small bowel gastrointestinal stromal tumor,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Cross-disciplinary watchlist

Other Fields

5 selected

Field #1 Read selectively for methods and biological relevance to current research interests.

Multi-region whole-genome and transcriptomic profiling uncovers plastic, subclone-linked cell states in high-grade diffuse astrocytomas

bioRxiv Published 2026-08-11 Preprint DOI: 10.64898/2026.08.11.743949v1

Authors: Ohlsbom, S., Mäntylä, S., Nätkin, R., Hermelo, I., Nurminen, A., Tiihonen, A. M., Salonen, I., Vuorinen, E., Nordfors, K., Haapasalo, H., Rautajoki, K. J., Haapasalo, J., Nykter, M.

biomedical research

Summary: This bioRxiv preprint, titled “Multi-region whole-genome and transcriptomic profiling uncovers plastic, subclone-linked cell states in high-grade diffuse astrocytomas,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Field #2 Read selectively for methods and biological relevance to current research interests.

A comprehensive benchmark of transcriptome-wide fusion detection using long-read RNA sequencing

bioRxiv Published 2026-08-12 Preprint DOI: 10.64898/2026.08.07.743439v1

Authors: Dorney, R., Wu, S., Hung, J. Y.-H., Hebbard, L., Schmitz, U.

biomedical research

Summary: This bioRxiv preprint, titled “A comprehensive benchmark of transcriptome-wide fusion detection using long-read RNA sequencing,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Field #3 Read selectively for methods and biological relevance to current research interests.

MSGPCA: Multi-Slice Graph PCA for replicate-aware Spatial Omics analysis

bioRxiv Published 2026-08-11 Preprint DOI: 10.64898/2026.08.05.743056v1

Authors: Chakraborty, A., Neelon, B., Lawson, A., Angel, P., Chung, D., Seal, S.

spatial omics

Summary: This bioRxiv preprint, titled “MSGPCA: Multi-Slice Graph PCA for replicate-aware Spatial Omics analysis,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Field #4 Read selectively for methods and biological relevance to current research interests.

Systematic assessment of the biological impact of cellular deconvolution on downstream analyses of disease transcriptomes

bioRxiv Published 2026-08-11 Preprint DOI: 10.64898/2026.08.05.742993v1

Authors: Mitra, S., Ibrahim, M., Narayanan, M.

biomedical research

Summary: This bioRxiv preprint, titled “Systematic assessment of the biological impact of cellular deconvolution on downstream analyses of disease transcriptomes,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.

Field #5 Read selectively for methods and biological relevance to current research interests.

DuplexFM: Transferable small-RNA target representations link miRNA interactions to siRNA efficacy prediction

bioRxiv Published 2026-08-12 Preprint DOI: 10.64898/2026.08.06.743413v1

Authors: Chen, B., Yin, J., Fei, J., Yang, M.

biomedical research

Summary: This bioRxiv preprint, titled “DuplexFM: Transferable small-RNA target representations link miRNA interactions to siRNA efficacy prediction,” presents a study in the area indicated by its title.

Why it matters: It may provide a useful preprint-level signal about emerging methods or biology in this area; conclusions should be assessed against the full manuscript.

Why for Yiru: Relevant to spatial omics, computational immunology, biomedical AI, or drug-related omics when the topic overlaps with those interests.