Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

This repository contains the code and R scripts compiled by Kilian Dahm, Jannis Spintge, and Lisa Holsten to recreate the RNA-seq figures from the manuscript by Theobald, Dahm, and Lange et al., Nature Communications, 2025 and visualize the data accordingly.

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-10-01
DOI: https://doi.org/10.5281/zenodo.17240508
Primary Topic: Coffee research and impacts
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

Oct 1, 2025

Zenodo (CERN European Organization for Nuclear Research)

Coffee research and impacts

article

Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

October 1, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Good health and well-being

Openalex Percentile: Top 40%

Coffee research and impacts

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS