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In this issue 15 papers · 5 free

01 Nature Communications Fear learning-induced brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation Free
02 PLOS Biology Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients Free
03 Nature Communications Reconfiguring interfacial hydrogen-bond networks to enhance anodic oxidation for efficient wastewater treatment Free
04 Science Advances A folate receptor-targeted NIR-II probe improves intraoperative imaging and surgery of metastatic ovarian cancer Free
05 Nature Communications ProFormer: generalizable classification of single-cell and plasma proteomes using deep learning Free
06 Proceedings of the National Academy of Sciences A 2,623-year temperature reconstruction from the Colorado Rocky Mountains reveals warm and cool droughts Subscribers
07 Proceedings of the National Academy of Sciences Causality-integrated graph learning for multi-endpoint toxicity prediction Subscribers
08 The Astrophysical Journal JWST Imaging of Edge-on Protoplanetary Disks. V. Flux Ratio Reversal and Disk-edge Structure in the Flying Saucer Subscribers
09 Proceedings of the National Academy of Sciences Recurrent hypermotif regulatory circuits in developmental programs Subscribers
10 eLife NK2R signaling governs intestinal lipid mobilization and mucosal inflammation Subscribers
11 Science Advances Multiobjective V H H discovery through integrated high-throughput screening and AlphaFold3-guided structural prioritization Subscribers
12 Science Advances The landscape of allele-specific expression in human kidneys Subscribers
13 Science Hierarchical crystalline organic-inorganic framework enabling high-modulus toughening in nacre Subscribers
14 Nature Butterfly wing patterns in flight create powerful illusory motion cues Subscribers
15 Nature Carbene transfer from thianthrenium ylides for cyclopropanation Subscribers

The papers Read free

Nature Communications·5 October 2026

Kai Zhang, Lihan Cui et al.

In adults, a brain activity pattern formed during fear learning predicted fear's return after brain stimulation therapy.

A brain pattern formed during fear learning can predict how strongly a fear memory returns later. This only worked when brain stimulation was used to help erase the fear, not during normal recovery. Scientists tracked 87 healthy adults for three days using brain scans while they learned and then unlearned a fear response.

The number accuracy score of 0.47

How well the brain pattern predicted the return of a fear memory after stimulation treatment.

87 healthy adults only, lab setting, not tested in anxiety patients.

Integrity screen: passed (3 checks) Checked 6 October 2026. Kai Zhang, Lihan Cui et al., Fear learning-induced brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation Read the source

PLOS Biology·5 October 2026

Tao Pan, Xucui Zhuang et al.

In tumor samples, three gene changes and three immune types mark cervical cancer in Chinese patients.

Cervical cancer tissue from 112 Chinese patients shows gene patterns similar to patients around the world. Scientists found three key gene changes that drive the disease and sorted patients into three different immune types. These discoveries give doctors new clues for spotting cervical cancer early and picking better treatments.

The number 112 tumor-normal tissue pairs

The size of the patient group whose tumors were studied for gene and immune patterns.

One country, 112 patients, lab analysis only, no treatment tested yet.

Integrity screen: passed (3 checks) Checked 6 October 2026. Tao Pan, Xucui Zhuang et al., Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients Read the source

Nature Communications·5 October 2026

Tong Liu, Shuang Zhong et al.

Adding iron to electrodes made water break apart faster to clean pollutants.

A new way to clean dirty water uses iron to help electricity break apart water molecules faster. The iron changes how water molecules link together at the electrode surface. This made a cleaning particle called a hydroxyl radical form 7 times more often. The system ran for 500 hours, removed about 95% of a tough pollutant, and cost 44.3% less than a common method.

The number 44.3% cost reduction

The drop in treatment cost compared to a common electrode method, over 500 hours of operation.

Lab-scale test only, not yet proven at full industrial scale.

Integrity screen: passed (3 checks) Checked 6 October 2026. Tong Liu, Shuang Zhong et al., Reconfiguring interfacial hydrogen-bond networks to enhance anodic oxidation for efficient wastewater treatment Read the source

Science Advances·2 October 2026

Wanying Li, Zimu Yuan et al.

In mice, a new glowing dye found more hidden ovarian tumors than the current best dye.

In mice with spreading ovarian cancer, a new glowing dye found 90.2% of tumors, compared to 78.75% for the leading dye used in surgery today. The new dye sticks to a marker on cancer cells and also grabs a blood protein, so it stays in the body longer. It uses a deeper type of infrared light that shows sharper images and spotted tumors as small as 3 millimeters, hidden to the naked eye.

The number 90.20% vs 78.75%

Tumor detection rate of the new dye versus the current clinical dye in mice.

Mouse study only, no human surgery data yet.

Integrity screen: passed (3 checks) Checked 6 October 2026. Wanying Li, Zimu Yuan et al., A folate receptor-targeted NIR-II probe improves intraoperative imaging and surgery of metastatic ovarian cancer Read the source

Nature Communications·5 October 2026

Karl K. Krull, Arlene Kühn et al.

A new computer program sorts cells and blood samples by disease status from raw protein data.

A computer program can now sort cells and blood samples by reading raw data from protein measuring machines. It does this without scientists manually decoding the data first. The program, called ProFormer, beat 14 other computer methods at this task. It sorted single cells by type and stage, and told patients apart by disease status using blood samples.

What it could change A computer program reads raw protein data and sorts cells or patients by type or disease, skipping manual decoding.

Shows the program worked across several test datasets of cells and blood samples, not in a clinical trial.

Lab method only, no patient counts or accuracy numbers given yet.

Integrity screen: passed (3 checks) Checked 6 October 2026. Karl K. Krull, Arlene Kühn et al., ProFormer: generalizable classification of single-cell and plasma proteomes using deep learning Read the source

10 more papers are in the full issue.

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Proceedings of the National Academy of Sciences·5 October 2026

Alexandre F. Nolin, Connie A. Woodhouse et al.