Cold Spring Harbor Laboratory Press

07/28/2026

07/23/2026

Call for Papers! Learning & Memory invites submissions for a Special Collection exploring how epigenetic processes influence memory encoding, storage, and retrieval.

Topics include chromatin architecture, engram cell signatures, aging and disease, environmental influences on the epigenome, and therapeutic approaches to enhance or restore memory function.

Guest edited by Dr. Farah Lubin of the University of Alabama at Birmingham.

Learn more about the collection and submission process:
bit.ly/epigenticscollection

07/08/2026

Call for Papers! Genome Research is now encouraging submissions for a Special Issue: "Spatial Omics: Technologies, Computation, and Biological Discovery", Guest Edited by Drs. Christina Leslie, Jian Ma, and Jeffrey Moffitt. Submission deadline: Nov, 1, 2026 More details can be found here https://tinyurl.com/Call-for-papers-spatial

06/12/2026

How do cells decide when and where to make proteins?

A new review from the highlights two complementary technologies—Ribo-seq and live single-molecule imaging—that are helping scientists connect individual translation events with genome-wide patterns of protein synthesis. Read the review: bit.ly/4mjjI8B

06/12/2026

Nancy Wexler has spent a lifetime advancing our understanding of Huntington’s disease. In this moving New York Times profile, she reflects on the personal and scientific journey behind her new memoir, "My Life, My Science: Pursuing a Cure for Huntington’s Disease", published by Cold Spring Harbor Laboratory Press.

Read the article (free access):

Her decades of work on Huntington’s disease helped lead to the creation of a genetic test for the devastating condition. Why didn’t she take it herself?

06/05/2026

How do researchers find meaningful biological signals in data from millions of cells?

This review from the explores the machine learning tools helping scientists analyze single-cell RNA sequencing data, turning massive, complex datasets into new insights about cells, tissues, and disease.

Read more: bit.ly/4eboUJF

06/03/2026

Nearly all protein-coding and long noncoding genes transcribed by RNA polymerase II rely on cleavage and polyadenylation (CPA) for proper RNA maturation. More than 70% of human mRNA genes use alternative polyadenylation (APA), generating RNA isoforms with distinct functions and regulatory properties.

This review from the explores approaches to modulate poly(A) site usage, highlighting their value as research tools for studying APA and their emerging potential as therapeutic strategies for human disease.

Read the review: bit.ly/4sthgOt

05/21/2026

RNA function depends on interaction networks that are far more complex than individual protein–RNA contacts alone.

This new review from the examines the latest CLIP-based methods for profiling protein–RNA and protein-associated RNA–RNA interactions, including approaches that help reconstruct RNA interaction networks across the transcriptome.

The paper highlights both the progress and ongoing challenges in mapping these interactions, offering researchers a practical framework for studying RNA-binding proteins and RNA regulatory systems at scale.

Read the review here: bit.ly/41KDfWl

05/19/2026

Machine learning is transforming RNA secondary structure prediction.

This review in the explores how deep learning and other AI approaches are reshaping RNA structure prediction—while also highlighting the challenges researchers still face when predicting unfamiliar RNA structures.

The article also looks ahead to future hurdles, including modeling more complex and dynamic RNA structures. Read more: bit.ly/4spSj6s

05/07/2026

Probing the epitranscriptome and RNA damage with nanopore direct RNA sequencing

A new review from the highlights how nanopore direct RNA sequencing (DRS) is advancing the study of the epitranscriptome by allowing researchers to directly analyze RNA modifications and RNA damage with long-read sequencing technology.

The article explores emerging applications, current technical challenges, and future opportunities for understanding RNA biology at transcriptome scale.

Read more: bit.ly/3POaGo9