Dense Longitudinal Multi-Omics Reveals Microbial-Metabolic-Immune Succession During Immune Checkpoint Therapy.

Zandi E, Medetgul-Ernar K, Lenz HJ, Alishahi F

DOI: 10.64898/2026.10.24.26366392
Published: 2026 Oct 28
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.64898/2026.10.24.26366392,
  title = {Dense Longitudinal Multi-Omics Reveals Microbial-Metabolic-Immune Succession During Immune Checkpoint Therapy.},
  author = {Zandi E and Medetgul-Ernar K and Lenz HJ and Alishahi F},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.10.24.26366392},
  url = {https://doi.org/10.64898/2026.10.24.26366392}
}

RIS

TY  - JOUR
TI  - Dense Longitudinal Multi-Omics Reveals Microbial-Metabolic-Immune Succession During Immune Checkpoint Therapy.
AU  - Zandi E
AU  - Medetgul-Ernar K
AU  - Lenz HJ
AU  - Alishahi F
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.10.24.26366392
UR  - https://doi.org/10.64898/2026.10.24.26366392
ER  -

APA

E, Z., K, M., HJ, L., & F, A. (2026). Dense Longitudinal Multi-Omics Reveals Microbial-Metabolic-Immune Succession During Immune Checkpoint Therapy.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.10.24.26366392

Source records

pubmed · retrieved 2026-11-10T11:06:38.908Z